Open source is source code that is made freely available for possible modification and redistribution. Products include permission to use and view the source code,[1] design documents,[2] or content of the product. The open source model is a decentralized software development model that encourages open collaboration.[3][4]
A main principle of open source software development is peer production, with products such as source code, blueprints, and documentation freely available to the public. The open source movement in software began as a response to the limitations of proprietary code. The model is used for projects such as in open source eCommerce, open source appropriate technology,[5] and open source drug discovery.[6][7]
Open source promotes universal access via an open-source or free license to a product's design or blueprint, and universal redistribution of that design or blueprint.[8][9] Before the phrase open source became widely adopted, developers and producers used a variety of other terms, such as free software, shareware, and public domain software. Open source gained hold with the rise of the Internet.[10] The open-source software movement arose to clarify copyright, licensing, domain, and consumer issues.
Generally, open source refers to a computer program in which the source code is available to the general public for usage, modification from its original design, and publication of their version (fork) back to the community. Many large formal institutions have sprung up to support the development of the open-source movement, including the Apache Software Foundation, which supports community projects such as the open-source framework and the open-source HTTP server Apache HTTP.
The sharing of technical information predates the Internet and the personal computer considerably. For instance, in the early years of automobile development a group of capital monopolists owned the rights to a 2-cycle gasoline-engine patent originally filed by George B. Selden.[11] By controlling this patent, they were able to monopolize the industry and force car manufacturers to adhere to their demands, or risk a lawsuit.
In 1911, independent automaker Henry Ford won a challenge to the Selden patent. The result was that the Selden patent became virtually worthless and a new association (which would eventually become the Motor Vehicle Manufacturers Association) was formed.[11] The new association instituted a cross-licensing agreement among all US automotive manufacturers: although each company would develop technology and file patents, these patents were shared openly and without the exchange of money among all the manufacturers.[11] By the time the US entered World War II, 92 Ford patents and 515 patents from other companies were being shared among these manufacturers, without any exchange of money (or lawsuits).[11]
Early instances of the free sharing of source code include IBM's source releases of its operating systems and other programs in the 1950s and 1960s, and the SHARE user group that formed to facilitate the exchange of software.[12][13] Beginning in the 1960s, ARPANET researchers used an open "Request for Comments" (RFC) process to encourage feedback in early telecommunication network protocols. This led to the birth of the early Internet in 1969.
The sharing of source code on the Internet began when the Internet was relatively primitive, with software distributed via UUCP, Usenet, IRC, and Gopher. BSD, for example, was first widely distributed by posts to comp.os.linux on the Usenet, which is also where its development was discussed. Linux followed in this model.
Open source as a term emerged in the late 1990s by a group of people in the free software movement who were critical of the political agenda and moral philosophy implied in the term "free software" and sought to reframe the discourse to reflect a more commercially minded position.[14] In addition, the ambiguity of the term "free software" was seen as discouraging business adoption.[15][16] However, the ambiguity of the word "free" exists primarily in English as it can refer to cost. The group included Christine Peterson, Todd Anderson, Larry Augustin, Jon Hall, Sam Ockman, Michael Tiemann and Eric S. Raymond. Peterson suggested "open source" at a meeting[17] held at Palo Alto, California, in reaction to Netscape's announcement in January 1998 of a source code release for Navigator.[18]Linus Torvalds gave his support the following day, and Phil Hughes backed the term in Linux Journal. Richard Stallman, the founder of the Free Software Foundation (FSF) in 1985, quickly decided against endorsing the term.[17][19] The FSF's goal was to promote the development and use of free software, which they defined as software that grants users the freedom to run, study, share, and modify the code. This concept is similar to open source but places a greater emphasis on the ethical and political aspects of software freedom. Netscape released its source code under the Netscape Public License and later under the Mozilla Public License.[20]
Raymond was especially active in the effort to popularize the new term. He made the first public call to the free software community to adopt it in February 1998.[21] Shortly after, he founded The Open Source Initiative in collaboration with Bruce Perens.[17]
The term gained further visibility through an event organized in April 1998 by technology publisher O'Reilly Media . Originally titled the "Freeware Summit" and later known as the "Open Source Summit",[22] the event was attended by the leaders of many of the most important free and open-source projects, including Linus Torvalds, Larry Wall, Brian Behlendorf, Eric Allman, Guido van Rossum, Michael Tiemann, Paul Vixie, Jamie Zawinski, and Eric Raymond. At that meeting, alternatives to the term "free software" were discussed. Tiemann argued for "sourceware" as a new term, while Raymond argued for "open source." The assembled developers took a vote, and the winner was announced at a press conference the same evening.[22]
Area of application of open-source software[23]Survey on the reasons for using Open Source in 200 Swiss organizations[23]
Some economists agree that open-source is an information good[24] or "knowledge good" with original work involving a significant amount of time, money, and effort. The cost of reproducing the work is low enough that additional users may be added at zero or near zero cost – this is referred to as the marginal cost of a product. Copyright creates a monopoly so that the price charged to consumers can be significantly higher than the marginal cost of production. This allows the author to recoup the cost of making the original work. Copyright thus creates access costs for consumers who value the work more than the marginal cost but less than the initial production cost. Access costs also pose problems for authors who wish to create a derivative work—such as a copy of a software program modified to fix a bug or add a feature, or a remix of a song—but are unable or unwilling to pay the copyright holder for the right to do so.
Open source eliminates some of the access costs of consumers and creators of derivative works by reducing the restrictions of copyright. Basic economic theory predicts that lower costs would lead to higher consumption and also more frequent creation of derivative works. Organizations such as Creative Commons host websites where individuals can file for alternative "licenses", or levels of restriction, for their works.[25]
These self-made protections free the general society of the costs of policing copyright infringement.
Others argue that since consumers do not pay for their copies, creators are unable to recoup the initial cost of production and thus have little economic incentive to create in the first place. By this argument, consumers would lose out because some of the goods they would otherwise purchase would not be available. In practice, content producers can choose whether to adopt a proprietary license and charge for copies, or an open license. Some goods which require large amounts of professional research and development, such as the pharmaceutical industry (which depends largely on patents, not copyright for intellectual property protection) are almost exclusively proprietary, although increasingly sophisticated technologies are being developed on open-source principles.[26]
There is evidence that open-source development creates enormous value.[27] For example, in the context of open-source hardware design, digital designs are shared for free and anyone with access to digital manufacturing technologies (e.g. RepRap 3D printers) can replicate the product for the cost of materials.[28] The original sharer may receive feedback and potentially improvements on the original design from the peer production community.
Many open-source projects have a high economic value. According to the Battery Open Source Software Index (BOSS), the ten economically most important open-source projects are:[29][30]
The rank given is based on the activity regarding projects in online discussions, on GitHub, on search activity in search engines and on the influence on the labour market.
Alternative arrangements have also been shown to result in good creation outside of the proprietary license model. Examples include:[citation needed]
Wikipedia is an example of a global application of the open-source model.Creation for its own sake – For example, Wikipedia editors add content for recreation. Artists have a drive to create. Both communities benefit from free starting material.
Patron – For example, open-access publishing relies on institutional and government funding of research faculty, who also have a professional incentive to publish for reputation and career advancement. Works of the US government are automatically released into the public domain.[citation needed]
Freemium – Give away a limited version for free and charge for a premium version (potentially using a dual license).
Give away the product and charge something related – charge for support of open-source enterprise software, give away music but charge for concert admission.[citation needed]
For own use – Businesses or individual software developers often create software to solve a problem, bearing the full cost of initial creation. They will then open source the solution, and benefit from the improvements others make for their own needs. Communalizing the maintenance burden distributes the cost across more users; free riders can also benefit without undermining the creation process. Drupal's founder Dries Buytaert has summarized this as the Maker/Taker problem.[31]
Blockchain based licensing. Developers register their contributions on a blockchain and when usage licenses are generated the revenue is shared through the blockchain.[32]
The open-source model is a decentralized software development model that encourages open collaboration,[3][33] meaning "any system of innovation or production that relies on goal-oriented yet loosely coordinated participants who interact to create a product (or service) of economic value, which they make available to contributors and noncontributors alike."[3] A main principle of open-source software development is peer production, with products such as source code, blueprints, and documentation freely available to the public. The open-source movement in software began as a response to the limitations of proprietary code. The model is used for projects such as in open-source appropriate technology,[5] and open-source drug discovery.[6][7]
The open-source model for software development inspired the use of the term to refer to other forms of open collaboration, such as in Internet forums,[8]mailing lists[34] and online communities.[35] Open collaboration is also thought to be the operating principle underlining a gamut of diverse ventures, including TEDx and Wikipedia.[36]
Riehle et al. define open collaboration as collaboration based on three principles of egalitarianism, meritocracy, and self-organization.[37] Levine and Prietula define open collaboration as "any system of innovation or production that relies on goal-oriented yet loosely coordinated participants who interact to create a product (or service) of economic value, which they make available to contributors and noncontributors alike."[3] This definition captures multiple instances, all joined by similar principles. For example, all of the elements – goods of economic value, open access to contribute and consume, interaction and exchange, purposeful yet loosely coordinated work – are present in an open-source software project, in Wikipedia, or in a user forum or community. They can also be present in a commercial website that is based on user-generated content. In all of these instances of open collaboration, anyone can contribute and anyone can freely partake in the fruits of sharing, which are produced by interacting participants who are loosely coordinated.
An annual conference dedicated to the research and practice of open collaboration is the International Symposium on Wikis and Open Collaboration (OpenSym, formerly WikiSym).[38] As per its website, the group defines open collaboration as "collaboration that is egalitarian (everyone can join, no principled or artificial barriers to participation exist), meritocratic (decisions and status are merit-based rather than imposed) and self-organizing (processes adapt to people rather than people adapt to pre-defined processes)."[39]
Open source promotes universal access via an open-source or free license to a product's design or blueprint, and universal redistribution of that design or blueprint.[8][9] Before the phrase open source became widely adopted, developers and producers used a variety of other terms. Open source gained hold in part due to the rise of the Internet.[40] The open-source software movement arose to clarify copyright, licensing, domain, and consumer issues.
An open-source license is a type of license for computer software and other products that allows the source code, blueprint or design to be used, modified or shared (with or without modification) under defined terms and conditions.[41][42] This allows end users and commercial companies to review and modify the source code, blueprint or design for their own customization, curiosity or troubleshooting needs. Open-source licensed software is mostly available free of charge, though this does not necessarily have to be the case. Licenses which only permit non-commercial redistribution or modification of the source code for personal use only are generally not considered as open-source licenses. However, open-source licenses may have some restrictions, particularly regarding the expression of respect to the origin of software, such as a requirement to preserve the name of the authors and a copyright statement within the code, or a requirement to redistribute the licensed software only under the same license (as in a copyleft license). One popular set of open-source software licenses are those approved by the Open Source Initiative (OSI) based on their Open Source Definition (OSD).
Social and political views have been affected by the growth of the concept of open source. Advocates in one field often support the expansion of open source in other fields. But Eric Raymond and other founders of the open-source movement have sometimes publicly argued against speculation about applications outside software, saying that strong arguments for software openness should not be weakened by overreaching into areas where the story may be less compelling. The broader impact of the open-source movement, and the extent of its role in the development of new information sharing procedures, remain to be seen.
Open-source software is software which source code is published and made available to the public, enabling anyone to copy, modify and redistribute the source code without paying royalties or fees.[45]
LibreOffice and the GNU Image Manipulation Program are examples of open source software. As they do with proprietary software, users must accept the terms of a license when they use open source software—but the legal terms of open source licenses differ dramatically from those of proprietary licenses.
Open-source code can evolve through community cooperation. These communities are composed of individual programmers as well as large companies. Some of the individual programmers who start an open-source project may end up establishing companies offering products or services incorporating open-source programs.[citation needed] Examples of open-source software products are:[46]
Linux (that much of world's server parks are running)
The Google Summer of Code, often abbreviated to GSoC, is an international annual program in which Google awards stipends to contributors who successfully complete a free and open-source software coding project during the summer. GSoC is a large scale project with 202 participating organizations in 2021.[47] There are similar smaller scale projects such as the Talawa Project[48] run by the Palisadoes Foundation (a non profit based in California, originally to promote the use of information technology in Jamaica, but now also supporting underprivileged communities in the US)[49]
Open-source hardware is hardware which initial specification, usually in a software format, is published and made available to the public, enabling anyone to copy, modify and redistribute the hardware and source code without paying royalties or fees. Open-source hardware evolves through community cooperation. These communities are composed of individual hardware/software developers, hobbyists, as well as very large companies. Examples of open-source hardware initiatives are:
Openmoko: a family of open-source mobile phones, including the hardware specification and the operating system.
OpenRISC: an open-source microprocessor family, with architecture specification licensed under GNU GPL and implementation under LGPL.
Arduino, a microcontroller platform for hobbyists, artists and designers.[51]
Simputer, an open hardware handheld computer, designed in India for use in environments where computing devices such as personal computers are deemed inappropriate.[52]
LEON: A family of open-source microprocessors distributed in a library with peripheral IP cores, open SPARC V8 specification, implementation available under GNU GPL.
Tinkerforge: A system of open-source stackable microcontroller building blocks. Allows control of motors and read out sensors with the programming languages C, C++, C#, Object Pascal, Java, PHP, Python and Ruby over a USB or Wifi connection on Windows, Linux and Mac OS X. All of the hardware is licensed under CERN OHL (CERN Open Hardware License).
Open Compute Project: designs for computer data center including power supply, Intel motherboard, AMD motherboard, chassis, racks, battery cabinet, and aspects of electrical and mechanical design.[53]
Open-source colas – cola soft drinks, similar to Coca-Cola and Pepsi, whose recipe is open source and developed by volunteers. The taste is said to be comparable to that of the standard beverages. Most corporations producing beverages keep their formulas secret and unknown to the general public.[56]
Free Beer (originally Vores Øl) – is an open-source beer created by students at the IT-University in Copenhagen together with Superflex, an artist collective, to illustrate how open-source concepts might be applied outside the digital world.[57][58][59]
Open-content projects organized by the Wikimedia Foundation – Sites such as Wikipedia and Wiktionary have embraced the open-content Creative Commons content licenses. These licenses were designed to adhere to principles similar to various open-source software development licenses. Many of these licenses ensure that content remains free for re-use, that source documents are made readily available to interested parties, and that changes to content are accepted easily back into the system. Important sites embracing open-source-like ideals are Project Gutenberg[60] and Wikisource, both of which post many books on which the copyright has expired and are thus in the public domain, ensuring that anyone has free, unlimited access to that content.
Open ICEcat is an open catalog for the IT, CE and Lighting sectors with product data-sheets based on Open Content License agreement. The digital content are distributed in XML and URL formats.
SketchUp's 3D Warehouse is an open-source design community centered around the use of proprietary software that's distributed free of charge.
Pharmaceuticals – There have been several proposals for open-source pharmaceutical development,[62][63] which led to the establishment of the Tropical Disease Initiative[64] and the Open Source Drug Discovery for Malaria Consortium.[7]
Genomics – The term "open-source genomics" refers to the combination of rapid release of sequence data (especially raw reads) and crowdsourced analyses from bioinformaticians around the world that characterized the analysis of the 2011 E. coli O104:H4 outbreak.[65]
OpenEMR – OpenEMR is an ONC-ATB Ambulatory EHR 2011-2012 certified electronic health records and medical practice management application. It features fully integrated electronic health, records, practice management, scheduling, electronic billing, and is the base for many EHR programs.
Research – The Science Commons was created as an alternative to the expensive legal costs of sharing and reusing scientific works in journals etc.[66]
Research – The Open Solar Outdoors Test Field (OSOTF)[67] is a grid-connected photovoltaic test system, which continuously monitors the output of a number of photovoltaic modules and correlates their performance to a long list of highly accurate meteorological readings. The OSOTF is organized under open-source principles – All data and analysis is to be made freely available to the entire photovoltaic community and the general public.[67]
Construction – WikiHouse is an open-source project for designing and building houses.[68][69]
Energy research – The Open Energy Modelling Initiative promotes open-source models and open data in energy research and policy advice.
VIA OpenBook is an open-source hardware laptop reference design.
Open-source principles can be applied to technical areas such as digital communication protocols and data storage formats.
Open-design – which involves applying open-source methodologies to the design of artifacts and systems in the physical world. It is very nascent but has huge potential.[70]
Open-source appropriate technology (OSAT) refers to technologies that are designed in the same fashion as free and open-source software.[71] These technologies must be "appropriate technology" (AT) – meaning technology that is designed with special consideration to the environmental, ethical, cultural, social, political, and economic aspects of the community it is intended for. An example of this application is the use of open-source 3D printers like the RepRap to manufacture appropriate technology.[72]
Teaching – which involves applying the concepts of open source to instruction using a shared web space as a platform to improve upon learning, organizational, and management challenges. An example of an Open-source courseware is the Java Education & Development Initiative (JEDI).[73] Other examples include Khan Academy and wikiversity. At the university level, the use of open-source-appropriate technology classroom projects has been shown to be successful in forging the connection between science/engineering and social benefit:[74] This approach has the potential to use university students' access to resources and testing equipment in furthering the development of appropriate technology. Similarly OSAT has been used as a tool for improving service learning.[75][76]
There are few examples of business information (methodologies, advice, guidance, practices) using the open-source model, although this is another case where the potential is enormous. ITIL is close to open source. It uses the Cathedral model (no mechanism exists for user contribution) and the content must be bought for a fee that is small by business consulting standards (hundreds of British pounds). Various checklists are published by government, banks or accounting firms.
An open-source group emerged in 2012 that is attempting to design a firearm that may be downloaded from the internet and "printed" on a 3D Printer.[77] Calling itself Defense Distributed, the group wants to facilitate "a working plastic gun that could be downloaded and reproduced by anybody with a 3D printer".[78]
Agrecol, a German NGO has developed an open-source licence for seeds operating with copyleft and created OpenSourceSeeds as a respective service provider. Breeders that apply the license to their new invented material prevent it from the threat of privatisation and help to establish a commons-based breeding sector as an alternative to the commercial sector.[79]
Free and open-source software (FOSS) or free/libre and open-source software (FLOSS) is openly shared source code that is licensed without any restrictions on usage, modification, or distribution.[citation needed] Confusion persists about this definition because the "free", also known as "libre", refers to the freedom of the product, not the price, expense, cost, or charge. For example, "being free to speak" is not the same as "free beer".[19]
Conversely, Richard Stallman argues the "obvious meaning" of term "open source" is that the source code is public/accessible for inspection, without necessarily any other rights granted, although the proponents of the term say the conditions in the Open Source Definition must be fulfilled.[80]
Generally, open source refers to a computer program in which the source code is available to the general public for use for any (including commercial) purpose, or modification from its original design. Open-source code is meant to be a collaborative effort, where programmers improve upon the source code and share the changes within the community. Code is released under the terms of a software license. Depending on the license terms, others may then download, modify, and publish their version (fork) back to the community.
Open manufacturing or "Open Production" or "Design Global, Manufacture Local", a new socioeconomic production model to openly and collaboratively produce and distribute physical objects
Open-source architecture (OSArc), emerging procedures in imagination and formation of virtual and real spaces within an inclusive universal infrastructure
Open science, the movement to make scientific research, data and dissemination accessible to all levels of an inquiring society, amateur or professional
Open science data, a type of open data focused on publishing observations and results of scientific activities available for anyone to analyze and reuse
Open Source Cinema, a collaborative website to produce a documentary film
Open-source journalism, commonly describes a spectrum on online publications, forms of innovative publishing of online journalism, and content voting, rather than the sourcing of news stories by "professional" journalists
Open-source intelligence, an intelligence gathering discipline based on information collected from open sources (not to be confused with open-source artificial intelligence such as Mycroft (software)).
The rise of open-source culture in the 20th century resulted from a growing tension between creative practices that involve require access to content that is often copyrighted, and restrictive intellectual property laws and policies governing access to copyrighted content. The two main ways in which intellectual property laws became more restrictive in the 20th century were extensions to the term of copyright (particularly in the United States) and penalties, such as those articulated in the Digital Millennium Copyright Act (DMCA), placed on attempts to circumvent anti-piracy technologies.[81]
Although artistic appropriation is often permitted under fair-use doctrines, the complexity and ambiguity of these doctrines create an atmosphere of uncertainty among cultural practitioners. Also, the protective actions of copyright owners create what some call a "chilling effect" among cultural practitioners.[82]
The idea of an "open-source" culture runs parallel to "Free Culture", but is substantively different. Free culture is a term derived from the free software movement, and in contrast to that vision of culture, proponents of open-source culture (OSC) maintain that some intellectual property law needs to exist to protect cultural producers. Yet they propose a more nuanced position than corporations have traditionally sought. Instead of seeing intellectual property law as an expression of instrumental rules intended to uphold either natural rights or desirable outcomes, an argument for OSC takes into account diverse goods (as in "the Good life"[clarification needed]) and ends.
Sites such as ccMixter offer up free web space for anyone willing to license their work under a Creative Commons license. The resulting cultural product is then available to download free (generally accessible) to anyone with an Internet connection.[83] Older, analog technologies such as the telephone or television have limitations on the kind of interaction users can have.
Through various technologies such as peer-to-peer networks and blogs, cultural producers can take advantage of vast social networks to distribute their products. As opposed to traditional media distribution, redistributing digital media on the Internet can be virtually costless. Technologies such as BitTorrent and Gnutella take advantage of various characteristics of the Internet protocol (TCP/IP) in an attempt to totally decentralize file distribution.
Open politics (sometimes known as Open-source politics) is a political process that uses Internet technologies such as blogs, email and polling to provide for a rapid feedback mechanism between political organizations and their supporters. There is also an alternative conception of the term Open-source politics which relates to the development of public policy under a set of rules and processes similar to the open-source software movement.
Open-source governance is similar to open-source politics, but it applies more to the democratic process and promotes the freedom of information.
The South Korean government wants to increase its use of free and open-source software, to decrease its dependence on proprietary software solutions. It plans to make open standards a requirement, to allow the government to choose between multiple operating systems and web browsers. Korea's Ministry of Science, ICT & Future Planning is also preparing ten pilots on using open-source software distributions.[84]
Open-source ethics as an ethical school – Charles Ess and David Berry are researching whether ethics can learn anything from an open-source approach. Ess famously even defined the AoIR Research Guidelines as an example of open-source ethics.[85]
Open-source ethics as a professional body of rules – This is based principally on the computer ethics school, studying the questions of ethics and professionalism in the computer industry in general and software development in particular.[86]
Open-source journalism formerly referred to the standard journalistic techniques of news gathering and fact checking, reflecting open-source intelligence, a similar term used in military intelligence circles. Now, open-source journalism commonly refers to forms of innovative publishing of online journalism, rather than the sourcing of news stories by a professional journalist. In the 25 December 2006 issue of TIME magazine this is referred to as user created content and listed alongside more traditional open-source projects such as OpenSolaris and Linux.
Weblogs, or blogs, are another significant platform for open-source culture. Blogs consist of periodic, reverse chronologically ordered posts, using a technology that makes webpages easily updatable with no understanding of design, code, or file transfer required. While corporations, political campaigns and other formal institutions have begun using these tools to distribute information, many blogs are used by individuals for personal expression, political organizing, and socializing. Some, such as LiveJournal or WordPress, use open-source software that is open to the public and can be modified by users to fit their own tastes. Whether the code is open or not, this format represents a nimble tool for people to borrow and re-present culture; whereas traditional websites made the illegal reproduction of culture difficult to regulate, the mutability of blogs makes "open sourcing" even more uncontrollable since it allows a larger portion of the population to replicate material more quickly in the public sphere.
Messageboards are another platform for open-source culture. Messageboards (also known as discussion boards or forums), are places online where people with similar interests can congregate and post messages for the community to read and respond to. Messageboards sometimes have moderators who enforce community standards of etiquette such as banning spammers. Other common board features are private messages (where users can send messages to one another) as well as chat (a way to have a real time conversation online) and image uploading. Some messageboards use phpBB, which is a free open-source package. Where blogs are more about individual expression and tend to revolve around their authors, messageboards are about creating a conversation amongst its users where information can be shared freely and quickly. Messageboards are a way to remove intermediaries from everyday life—for instance, instead of relying on commercials and other forms of advertising, one can ask other users for frank reviews of a product, movie or CD. By removing the cultural middlemen, messageboards help speed the flow of information and exchange of ideas.
OpenDocument is an opendocument file format for saving and exchanging editable office documents such as text documents (including memos, reports, and books), spreadsheets, charts, and presentations. Organizations and individuals that store their data in an open format such as OpenDocument avoid being locked into a single software vendor, leaving them free to switch software if their current vendor goes out of business, raises their prices, changes their software, or changes their licensing terms to something less favorable.
Open-source movie production is either an open call system in which a changing crew and cast collaborate in movie production, a system in which the result is made available for re-use by others or in which exclusively open-source products are used in the production. The 2006 movie Elephants Dream is said to be the "world's first open movie",[88] created entirely using open-source technology.
An open-source documentary film has a production process allowing the open contributions of archival material footage, and other filmic elements, both in unedited and edited form, similar to crowdsourcing. By doing so, on-line contributors become part of the process of creating the film, helping to influence the editorial and visual material to be used in the documentary, as well as its thematic development. The first open-source documentary film is the non-profit WBCN and the American Revolution, which went into development in 2006, and will examine the role media played in the cultural, social and political changes from 1968 to 1974 through the story of radio station WBCN-FM in Boston.[89][90][91][92] The film is being produced by Lichtenstein Creative Media and the non-profit Center for Independent Documentary. Open Source Cinema is a website to create Basement Tapes, a feature documentary about copyright in the digital age, co-produced by the National Film Board of Canada.[93]Open-source film-making refers to a form of film-making that takes a method of idea formation from open-source software, but in this case the 'source' for a filmmaker is raw unedited footage rather than programming code. It can also refer to a method of film-making where the process of creation is 'open' i.e. a disparate group of contributors, at different times contribute to the final piece.
Open-IPTV is IPTV that is not limited to one recording studio, production studio, or cast. Open-IPTV uses the Internet or other means to pool efforts and resources together to create an online community that all contributes to a show.
Within the academic community, there is discussion about expanding what could be called the "intellectual commons" (analogous to the Creative Commons). Proponents of this view have hailed the Connexions Project at Rice University, OpenCourseWare project at MIT, Eugene Thacker's article on "open-source DNA", the "Open Source Cultural Database", Salman Khan's Khan Academy and Wikipedia as examples of applying open source outside the realm of computer software.
Open-source curricula are instructional resources whose digital source can be freely used, distributed and modified. Another strand to the academic community is in the area of research. Many funded research projects produce software as part of their work. Due to the benefits of sharing software openly in scientific endeavours,[94] there is an increasing interest in making the outputs of research projects available under an open-source license. In the UK the Joint Information Systems Committee (JISC) has developed a policy on open-source software. JISC also funds a development service called OSS Watch which acts as an advisory service for higher and further education institutions wishing to use, contribute to and develop open-source software.
On 30 March 2010, President Barack Obama signed the Health Care and Education Reconciliation Act, which included $2 billion over four years to fund the TAACCCT program, which is described as "the largest OER (open education resources) initiative in the world and uniquely focused on creating curricula in partnership with industry for credentials in vocational industry sectors like manufacturing, health, energy, transportation, and IT".[95]
The principle of sharing pre-dates the open-source movement; for example, the free sharing of information has been institutionalized in the scientific enterprise since at least the 19th century. Open-source principles have always been part of the scientific community. The sociologist Robert K. Merton described the four basic elements of the community—universalism (an international perspective), communalism (sharing information), objectivity (removing one's personal views from the scientific inquiry) and organized skepticism (requirements of proof and review) that describe the (idealised) scientific community.
These principles are, in part, complemented by US law's focus on protecting expression and method but not the ideas themselves. There is also a tradition of publishing research results to the scientific community instead of keeping all such knowledge proprietary. One of the recent initiatives in scientific publishing has been open access—the idea that research should be published in such a way that it is free and available to the public. There are currently many open access journals where the information is available free online, however most journals do charge a fee (either to users or libraries for access). The Budapest Open Access Initiative is an international effort with the goal of making all research articles available free on the Internet.
The National Institutes of Health has recently proposed a policy on "Enhanced Public Access to NIH Research Information". This policy would provide a free, searchable resource of NIH-funded results to the public and with other international repositories six months after its initial publication. The NIH's move is an important one because there is significant amount of public funding in scientific research. Many of the questions have yet to be answered—the balancing of profit vs. public access, and ensuring that desirable standards and incentives do not diminish with a shift to open access.
Benjamin Franklin was an early contributor eventually donating all his inventions including the Franklin stove, bifocals, and the lightning rod to the public domain. New NGO communities are starting to use open-source technology as a tool. One example is the Open Source Youth Network started in 2007 in Lisboa by ISCA members.[96]Open innovation is also a new emerging concept which advocates putting R&D in a common pool. The Eclipse platform is openly presenting itself as an open innovation network.[97]
Copyright protection is used in the performing arts and even in athletic activities. Some groups have attempted to remove copyright from such practices.[98]
In 2012, Russian music composer, scientist and Russian Pirate Party member Victor Argonov presented detailed raw files of his electronic opera "2032"[99] under free license CC BY-NC 3.0 (later relicensed under CC BY-SA 4.0[100]). This opera was originally composed and published in 2007 by Russian label MC Entertainment as a commercial product, but then the author changed its status to free. In his blog[101] he said that he decided to open raw files (including wav, midi and other used formats) to the public to support worldwide pirate actions against SOPA and PIPA. Several Internet resources called "2032" the first open-source musical opera in history.[102][103][104][105]
This article or section may need to be cleaned up or summarized. It has been split from/to Open-source software movement.
Notable events and applications that have been developed via the open source community, and echo the ideologies of the open source movement,[106] include the Open Education Consortium, Project Gutenberg, Synthethic Biology, and Wikipedia. The Open Education Consortium is an organization composed of various colleges that support open source and share some of their material online. This organization, headed by Massachusetts Institute of Technology, was established to aid in the exchange of open source educational materials. Wikipedia is a user-generated online encyclopedia with sister projects in academic areas, such as Wikiversity—a community dedicated to the creation and exchange of learning materials.[107][failed verification]
Prior to the existence of Google Scholar Beta, Project Gutenberg was the first supplier of electronic books and the first free library project.[107][failed verification] Synthetic Biology is a new technology that promises to enable cheap, lifesaving new drugs, as well as helping to yield biofuels that may help to solve our energy problem. Although synthetic biology has not yet come out of its lab stage, it has potential to become industrialized in the near future. To industrialize open source science, there are some scientists who are trying to build their own brand of it.[108]
The open-access movement is a movement that is similar in ideology to the open source movement. Members of this movement maintain that academic material should be readily available to provide help with "future research, assist in teaching and aid in academic purposes." The open-access movement aims to eliminate subscription fees and licensing restrictions of academic materials.[109] The free-culture movement is a movement that seeks to achieve a culture that engages in collective freedom via freedom of expression, free public access to knowledge and information, full demonstration of creativity and innovation in various arenas, and promotion of citizen liberties.[110][citation needed]Creative Commons is an organization that "develops, supports, and stewards legal and technical infrastructure that maximizes digital creativity, sharing, and innovation." It encourages the use of protected properties online for research, education, and creative purposes in pursuit of a universal access. Creative Commons provides an infrastructure through a set of copyright licenses and tools that creates a better balance within the realm of "all rights reserved" properties.[111] The Creative Commons license offers a slightly more lenient alternative to "all rights reserved" copyrights for those who do not wish to exclude the use of their material.[112]
The Zeitgeist Movement (TZM) is an international social movement that advocates a transition into a sustainable "resource-based economy" based on collaboration in which monetary incentives are replaced by commons-based ones with everyone having access to everything (from code to products) as in "open source everything".[113][114] While its activism and events are typically focused on media and education, TZM is a major supporter of open source projects worldwide since they allow for uninhibited advancement of science and technology, independent of constraints posed by institutions of patenting and capitalist investment.[115] P2P Foundation is an "international organization focused on studying, researching, documenting and promoting peer to peer practices in a very broad sense." Its objectives incorporate those of the open source movement, whose principles are integrated in a larger socio-economic model.[116]
Open-weight refers to the release of an artificial intelligence model's trained parameters, or weights, for public use. Unlike fully open-source models, open-weight releases may not include the underlying source code, training data, or full documentation. The availability of weights allows researchers and developers to run, evaluate, or fine-tune the model, though license terms may restrict redistribution or commercial use.[117] The term is commonly used in reference to large language models such as LLaMA and Mistral, which have released model weights under research or custom licenses.[118]
^"The Open Source Definition". Open Source Org. 7 July 2006. Archived from the original on 11 June 2007. Retrieved 22 January 2020. Open source doesn't just mean access to the source code.
^"What is Open Source Software". Diffingo Solutions Inc. Archived from the original on 28 October 2008. Retrieved 9 March 2023. Open source software differs from other software because it has a less restrictive license agreement: Instead of using a restrictive license that prevents you from modifying the program or sharing it with friends for example, sharing and modifying open source software is encouraged. Anyone who wishes to do so may distribute, modify or even create derivative works based on that source code!
^ abGerbe, Aurona; Molefo, Onkgopotse; Van der Merwe, Alta (2010). "Documenting open-source migration processes for re-use". In Kotze, P.; Gerber, A.; van der Merwe, A.; et al. (eds.). Proceedings of the SAICSIT 2010 Conference — Fountains of Computing Research. ACM Press. pp. 75–85. CiteSeerX10.1.1.1033.7791. doi:10.1145/1899503.1899512. ISBN978-1-60558-950-3. S2CID11970697.
^Fisher, Franklin M.; McKie, James W.; Mancke, Richard B. (1983). IBM and the U.S. Data Processing Industry: An Economic History. Praeger. pp. 172–9. ISBN978-0-03-063059-0. IBM unbundled (began charging for) software 23 June 1969.
^Shea, Tom (23 June 1983). "Free software – Free software is a junkyard of software spare parts". InfoWorld. Retrieved 10 February 2016. "In contrast to commercial software is a large and growing body of free software that exists in the public domain. Public-domain software is written by microcomputer hobbyists (also known as "hackers") many of whom are professional programmers in their work life. [...] Since everybody has access to source code, many routines have not only been used but dramatically improved by other programmers."
^Granstrand, Ove (1999). The economics and management of intellectual property : towards intellectual capitalism. Cheltenham, UK: E. Elgar. ISBN978-1-85898-967-9.
^"About". The International Symposium on Open Collaboration. 15 June 2010.
^Riehle, Dirk. "Definition of Open Collaboration". The Joint International Symposium on Open Collaboration. Archived from the original on 12 March 2013. Retrieved 26 March 2013. Open collaboration is collaboration that is egalitarian (everyone can join, no principled or artificial barriers to participation exist), meritocratic (decisions and status are merit-based rather than imposed) and self-organizing (processes adapt to people rather than people adapt to pre-defined processes).
^The concept expands upon a statement found in the Free Software Definition: "Free software is a matter of liberty, not price. To understand the concept, you should think of 'free' as in 'free speech' not as in 'free beer.'"
^ abPearce, Joshua M.; Babasola, Adegboyega; Andrews, Rob (2012). "Open Solar Photovoltaic Systems Optimization"(PDF). Proceedings of the 16th Annual National Collegiate Inventors and Innovators Alliance Conference: 1–7.
^Stallman, Richard. "Why Open Source misses the point of Free Software". gnu.org. Retrieved 17 February 2019. However, the obvious meaning for the expression "open source software"—and the one most people seem to think it means—is "You can look at the source code." [...] the obvious meaning for "open source" is not the meaning that its advocates intend [...]
v. Engelhardt, S. (2008): "Intellectual Property Rights and Ex-Post Transaction Costs: the Case of Open and Closed Source Software", Jena Economic Research Papers 2008-047. (PDF)
European Commission. (2006). Economic impact of open source software on innovation and the competitiveness of the Information and Communication Technologies sector in the EU. Brussels.
Open source denotes a collaborative approach to developing and distributing software, hardware designs, and related resources. It features public access to source materials under licenses allowing inspection, modification, and redistribution by anyone. Formalized in 1998 by the Open Source Initiative, it emphasizes pragmatic benefits such as faster innovation and wider adoption. This builds on principles of free redistribution, source availability, and non-discrimination, differing from free software's focus on user freedoms as an ideology.Open source traces roots to pre-1980s code-sharing practices and grew through efforts like GNU. It now spans software, hardware, and fields like AI, boosting economic productivity and infrastructure. Yet it faces challenges in security, sustainability, corporate influence, and license enforcement. Societally, it promotes innovation and competition while sparking debates over community dynamics, government policies, and ethics. Future developments include deeper technological integrations and reforms for ongoing issues.
Definitions and Principles
Origin and Definition of the Term
The term "open source" describes a software development and distribution model where source code is publicly accessible and licensed to allow inspection, modification, and redistribution, often enabling collaborative improvements under specific legal terms.[1] The Open Source Initiative (OSI), founded as a nonprofit in 1998, defines it via the Open Source Definition (OSD), based on the Debian Free Software Guidelines. This includes ten criteria: free redistribution; source code provision or access means; derived works allowance; original source integrity with binary modifications permitted; no discrimination against persons, groups, or fields; rights for all without special terms; license distribution freedom; platform independence; no other software restrictions; and technology neutrality.[1][2]Christine Peterson, executive director of the Foresight Institute—a nanotechnology think tank—coined "open source" in February 1998 during a strategy meeting with computer security researchers. The goal was to rebrand collaborative software practices for wider appeal, emphasizing transparency and benefits like peer-reviewed innovation over the ideological "free software" term from Richard Stallman since 1983. This shift targeted corporate adoption, highlighted by Netscape's March 31, 1998, announcement to open-source the Mozilla browser, sparking commercial viability discussions.[3][4]The OSI incorporated on June 29, 1998, led by Peterson, Eric S. Raymond, and Michael Tiemann, to approve OSD-compliant licenses and distinguish from free software's purism, despite practical overlaps. Raymond's 1997 essay "The Cathedral and the Bazaar" supported this with data showing Linux bugs fixed 1.8 times faster than in proprietary software, gaining traction in the dot-com era for scalable solutions. This origin marked a shift from academic sharing to market-oriented strategy, facilitating enterprise use without philosophical hurdles.[2][3]
Core Tenets from First Principles
Open source arises from software's inherent complexity, where single teams overlook defects, favoring centralized control's error-prone nature. Public source code enables distributed review, harnessing collective intelligence to expose flaws invisible in proprietary settings. The principle "given enough eyeballs, all bugs are shallow" holds that broad scrutiny simplifies fixes via diverse insights. Linux kernel data since 1991 shows faster bug detection and vulnerability patching—often days after disclosure—through thousands of contributors.[5]Iterative refinement via early, frequent releases treats users as co-developers, gathering real-world feedback to accelerate improvements over isolated planning. Unlike top-down "cathedral" models, this leverages dispersed knowledge from user experiences. Fetchmail's 1990s shift to release-early practices yielded a 22-fold rise in fixes over two years, illustrating exposure-driven feedback loops for adaptive progress.Meritocratic selection advances changes by utility, not authority, with patches evaluated on correctness and efficiency. This aligns incentives for quality, countering closed systems' failures, as in GitHub's 100 million repositories by 2023 enabling reuse and reducing redundancy. Proprietary software often retains unpatched vulnerabilities longer, underscoring open source's resilience.[6][7]
Distinctions from Free Software, Libre, and Proprietary Models
Open source differs from free software in philosophy and licensing flexibility, despite overlaps. The OSI's 1998 Open Source Definition, from Debian's 1997 guidelines, mandates redistribution, source access, derived works, and non-discrimination, prioritizing collaboration, reliability, and business fit over ethics. Free software, per the Free Software Foundation's GNU Manifesto since 1985, requires four freedoms—use, study, share, modify—as moral imperatives against proprietary control.[1][8]Open source allows commercial-friendly licenses rejected by the FSF, like those permitting tivoization or partial disclosure, which free software sees as eroding autonomy. Over 90% of OSI licenses meet FSF standards, but the 1998 rebranding by Raymond and Bruce Perens aimed at corporate appeal, broadening adoption amid FSF critiques of weakened ideals.[9][10]"Libre" software, common in non-English contexts, mirrors free software's focus on liberty (from Latin "liber"), clarifying against gratis confusion, as in FLOSS since the 1990s. It offers no technical differences from open source, aligning with FSF ethics in standards like the European Commission's.[11][12]Proprietary models restrict source access via EULAs, banning modification, reverse engineering, and free sharing, often linking to payments. This retains IP for revenue but hides vulnerabilities, as in the 2020 SolarWinds breach, contrasting open source's faster exploit mitigation per 2019-2023 studies. Proprietary perks like support risk lock-in and slow adaptation, unlike open source's forkable, auditable resilience in Linux since 1991.[13][14][15]
Historical Development
Pre-1980s Precursors in Collaborative Code Sharing
In the 1950s and early 1960s, mainframe software from vendors like IBM was bundled with hardware, providing source code for user modifications, as proprietary licensing was not yet standard.[16] High computing costs drove institutions to share code snippets, subroutines, and utilities via physical media like punched cards or tapes, fostering informal collaboration among scientific and engineering sites.[17]The SHARE user group, founded in 1955 by IBM 701 and 704 users in the Los Angeles area, coordinated hardware changes and software exchanges. Members shared standardized libraries, such as assembly-language subroutines for reports and files, evolving into tools like 9PAC by the late 1950s. This created a reusable component repository across IBM mainframe sites, cutting redundant work and boosting interoperability without licensing limits.[18][17]DECUS, formed in 1961 for DEC's PDP minicomputers, similarly enabled free exchange of custom software like assemblers and utilities at symposia, promoting a "steal from friends" approach for quick iteration.[16] These groups highlighted practical code sharing before ideological free software drives.Academic efforts, such as MIT's 1961 CTSS on IBM 7094, allowed concurrent code editing and sharing to refine time-sharing. This led to Multics (1965–1969), a MIT-General Electric-Bell Labs collaboration exchanging code via repositories and tapes for features like virtual memory.[19][20] By the 1970s, ARPANET enabled electronic source transfers, extending these practices.[21]
1980s-1990s: Free Software Foundation and Early Momentum
In 1983, Richard Stallman announced the GNU Project on Usenet, targeting a Unix-compatible free software OS to resist proprietary restrictions. Motivated by cases like unmodifiable Xerox printer software at MIT, he pushed for rights to run, study, modify, and redistribute code using copyleft licensing.[22][23][24]The Free Software Foundation (FSF), founded in 1985 as a nonprofit organization, funded GNU via donations and services, with Stallman as director. The March 1985 GNU Manifesto in Dr. Dobb's Journal defined four freedoms—run, study/modify, redistribute, distribute modifications—framing proprietary software as ethically harmful and urging community backing for a 1989 completion, delayed by kernel complexities.[22][24]GNU milestones included GNU Emacs in 1985 and GCC in 1987, aiding portable development on Unix systems without proprietary tools. Distributed via tape and FTP, these built an ecosystem through volunteers, though a full kernel lagged.[23][22]In the 1990s, GNU paired with Linus Torvalds' Linux kernel, released in 1991 and GPL-licensed by 1992, enabling GNU/Linux distributions like Debian by 1993. Internet tools boosted contributors, growing the kernel from under 10,000 to over 100,000 lines by 1994. FSF opposed proprietary add-ons amid firms like Red Hat, founded 1993, shifting free software to practical infrastructure.[25][22][26]
1998 Onward: OSI Formation and Mainstream Adoption
The Open Source Initiative (OSI), founded in 1998, promoted open source via education, advocacy, and the Open Source Definition (OSD) for license criteria. The term arose from a February 1998 Palo Alto session post-Netscape's browser open-sourcing, emphasizing pragmatic gains like security over free software's ethics. Founders like Eric S. Raymond ("The Cathedral and the Bazaar") and Bruce Perens shaped it from Debian guidelines.[27][2][28]OSI approved OSD-compliant licenses, starting with the Artistic License, then Apache License 1.0 (1999) and Mozilla Public License, easing commercial use. This aligned with Linux kernel server growth and Apache HTTP Server's 60% web market by 1999.[29][2][30]Corporates accelerated adoption: Red Hat's 1999 IPO peaked at $20 billion valuation; VA Linux hit $10 billion. IBM invested $1 billion in Linux by 2000; Sun Microsystems launched OpenOffice.org in 2000. Android (2008) later claimed 70% mobile share by 2010, driven by efficiencies but sparking commercialization debates.[31][32][33]
2010s-2020s: Expansion into AI, Hardware, and Global Ecosystems
Open source AI frameworks boomed in the 2010s. Google's TensorFlow (2015) enabled scalable machine learning for deep learning in vision and natural language processing. Meta's PyTorch (2017) supported dynamic graphs for research prototyping, with contributions up 133% by 2024.[34][35]In the 2020s, models like Stability AI's Stable Diffusion (2022) allowed open weights for image generation; BigScience's BLOOM (2022), a 176-billion-parameter multilingual language model; and Meta's LLaMA (2023), with leaked weights spurring variants. These offered customization, cost savings, and performance, topping open LLM rankings.[36][37]Open source hardware advanced with verifiable designs. RISC-V (2010, formalized 2015) enabled royalty-free processors, projecting market growth from $1.76 billion (2024) to $8.57 billion (2030). Raspberry Pi (2012) sold 61 million units by 2024, open-sourcing schematics for IoT; Arduino expanded maker prototyping from 2005.[38][39][40]Global adoption emphasized infrastructure: India's 2015 OSS policy for e-governance grew developers to 17 million by 2025; EU's 2020-2025 targets stressed interoperability and security. Valued at $8.8 trillion embedded by 2024, OSS saw 6.6 trillion downloads yearly, despite maintenance underfunding.[41][42][43][44][45][46]
Licensing Frameworks
Permissive vs. Copyleft Licenses
Permissive licenses allow broad use, modification, and redistribution of software, requiring only retention of copyright notices, license terms, and sometimes patent grants. Derivatives may be distributed under proprietary terms. Originating in academic settings, examples include BSD licenses from the 1980s and the MIT License from 1988. They impose minimal reciprocity, enabling integration into closed-source products without source disclosure.Copyleft licenses extend these freedoms by mandating that derivatives and distributions use the same terms, ensuring source code availability. The Free Software Foundation developed the GNU General Public License (GPL): version 2 (June 1991) applies strong copyleft to combined works, while the Lesser GPL allows linking to proprietary code. GPL version 3 (June 29, 2007) added protections against hardware restrictions like Trusted Platform Modules. This reciprocity prevents enclosing communal contributions in proprietary software.Permissive licenses foster adoption by easing commercial barriers; MIT and Apache 2.0 (January 2004) led 2024 usage, surpassing GPL in new projects.[47] Copyleft builds a shared commons against free-riding but can create compatibility issues due to viral requirements. For instance, the Linux kernel (GPL v2) accepts permissive modules but rejects incompatible ones, balancing openness and growth.[48]
Permissive licenses dominate over 60% of top GitHub repositories, aiding innovations like React (MIT).[49] Copyleft sustains infrastructure like the GNU toolchain but may slow velocity in fast fields by deterring profit-driven developers. Both fit the Open Source Definition, trading diffusion for preservation.[1]
Key Examples and Their Implications
The MIT License (1988, Massachusetts Institute of Technology) permits unrestricted use, modification, distribution, and proprietary derivatives, retaining only copyright and disclaimer. It claims about 57% of licensed GitHub repositories (2022 analysis).[50]Apache License 2.0 (2004, Open Source Initiative) adds patent grants, change notices, and attributions, reducing patent risks. It holds 15% GitHub share, suiting enterprise integration without source mandates.[50]The GNU GPL (version 2, 1991; version 3, 2007, by Richard Stallman) enforces copyleft, requiring derivatives to share alike and provide source. GPL variants (19% GitHub) power the Linux kernel (GPL-2.0 since 1991).[50]Permissive licenses accelerate innovation in cloud and mobile but risk free-riding and underfunding.[51][52] Copyleft ensures reciprocity for communal assets but limits interoperability, with GPL share falling from 26% (2010) to under 20% (2022).[53][54] Permissive models leverage network effects; copyleft preserves public goods, shaping projects from commoditization to longevity.[55]
Enforcement Challenges and Legal Evolution
Enforcement faces hurdles from decentralized distribution and ecosystem scale. Proprietary products often embed thousands of components without tracking, breaching copyleft disclosure. Limited resources restrict litigation to groups like the Software Freedom Conservancy or Free Software Foundation. Cross-border jurisdiction complicates remedies.[56][57][58]Early courts doubted enforceability, treating licenses as contracts. The 2008 Jacobsen v. Katzer ruling affirmed copyright infringement for Artistic License breaches, allowing injunctions.[59]BusyBox suits (2007 onward) against firms like Best Buy and Samsung yielded settlements, compliance, and a 2010 U.S. injunction. FSF's 2009 Cisco case ended with source releases and tools funding. These affirm copyleft binding but favor negotiation.[60][57]Recent cases address AI and hardware; SFC's 2023 Vizio suit tests enforcement standing. A 2025 European €900,000 fine on Orange SA highlights penalties. Permissive licenses limit remedies; source-available trends seek balance. Under-enforcement persists due to costs.[61][62][63][64]
Economic Realities
Quantified Value and Productivity Gains
A 2024 Harvard Business School study estimated the demand-side economic value of widely used open source software (OSS) at $8.8 trillion annually—the hypothetical cost to recreate equivalent proprietary code—while supply-side value from developer contributions reached $4.15 billion.[65] This derives from usage data on major OSS projects, which underpin critical infrastructure like operating systems and cloud services, enabling firms to avoid massive recreation costs.Firm-level studies show OSS boosts productivity via lower development costs and efficiency. A 2018 Management Science analysis of U.S. firms (1997-2007) found free OSS adoption increased total factor productivity through reusable code that speeds innovation.[66] A 2007 study of software organizations reported 20-30% faster release cycles and better defect rates from community debugging and modular reuse.[67]Enterprise reports confirm high ROI. A 2024 Forrester study for OpenLogic (now Perforce) showed 600% three-year ROI from OSS, mainly via 50-70% savings on licensing and improved interoperability.[68] The Linux Foundation's 2023 survey of over 430 companies found 85% net benefits, including 25% faster time-to-market, with gains outweighing maintenance costs 3:1 or more.[69] These stem from code modularity and global collaboration, though self-reported data may reflect selection bias.[70]
Sustainable Business Models and Market Dynamics
Open source sustains viability through models that monetize services, extensions, or hosting atop community development. Red Hat exemplifies support services: free core software pairs with paid enterprise support, certifications, and updates. It hit $1 billion revenue by 2012, then grew to over $6.5 billion annually by 2025 post-IBM acquisition, driven by subscriptions for Red Hat Enterprise Linux.[71][72]The open core model offers free base code with proprietary premium features for enterprises, attracting users then upselling security or scalability tools. Examples include MongoDB, Elastic, and GitLab, which raised over $100 million each via closed add-ons for unmet needs.[73][74] This builds market share on basics while capturing value from enhancements, risking backlash if proprietary elements restrict too much.[75]Hosted SaaS provides cloud-managed OSS instances, charging for infrastructure, maintenance, and SLAs. Providers like AWS for Apache Kafka or Kubernetes profit from usage fees without code changes, leveraging cloud scalability to shift self-hosting burdens. Dual licensing, as in MySQL under Oracle, allows paid proprietary rights for commercial users alongside open access.[73]Market dynamics favor ecosystem integration, commoditizing components for innovation while proprietary layers maintain moats. The OSS market grew from $41.83 billion in 2024 to $48.54 billion projected for 2025, driven by cost savings and adaptability.[76] This pressures proprietary pricing, with OSS comprising 96% of codebases for $8.8 trillion in value. Yet free-riding risks persist, pushing firms to bundle OSS with expertise for value capture. Models align incentives: communities innovate basics, businesses ensure reliability, balancing openness and profit.[44][77]
Criticisms of Underfunding and Free-Rider Problems
OSS faces free-rider issues: users benefit without proportional contributions, underfunding maintenance as a public good prone to underproduction. Large firms extract billions from OSS with minimal input, burdening volunteers and risking abandonment.[78][79][80][81]OpenSSL illustrates this: by 2014, it secured two-thirds of websites on $2,000 annual donations. The Heartbleed bug, undetected for two years due to few part-time developers, cost $4.5 billion in fixes. Post-incident, Google, Microsoft, and others pledged $3.9 million via Core Infrastructure Initiative.[82][79][83][84]Studies highlight ongoing gaps: a 2025 GitHub analysis showed maintenance lagging economic impact, with funding favoring new code over upkeep despite 70% software reliance on OSS. The Linux Foundation's 2024 report noted solo maintainers handling team-level work without support, increasing churn. Companies favor proprietary add-ons over upstream fixes, hindering professionalization and proactive security.[85][86][87]
Technical Applications
In Software Development
Open source software development relies on collaborative coding with publicly accessible source code under licenses like the GNU General Public License (GPL) or Apache License, allowing inspection, modification, and redistribution. This enables distributed workflows using tools like Git, a version control system created by Linus Torvalds in 2005 for the Linux kernel. Git supports parallel branches, efficient merging, and decentralized repositories.[31] These practices speed iteration over proprietary models, as seen in the Linux kernel's growth from a 1991 personal project to over 30 million lines maintained by 15,000 contributors yearly by 2023.[88]Studies show productivity gains from community bug fixes and enhancements, reducing costs and boosting reliability via reusable, peer-reviewed code.[67] The Apache HTTP Server, started in 1995 by patching NCSA HTTPd, now powers 30% of websites with its modular design.[31]Key examples include the GNU Compiler Collection (GCC), released in 1987 for free alternatives to proprietary tools, and Python's 1991 interpreter, enabling scripting and data science libraries used in 70% of workflows. These highlight modularity and forkability for rapid adaptation, generating trillions in value.[31]Challenges include fragmented decision-making among contributors, leading to inconsistent standards, poor documentation, and delayed merges. Maintainers enforce quality through reviews despite resource limits. Yet transparency reduces undetected vulnerabilities via collective scrutiny, outperforming proprietary isolation.[89][67]
In Hardware and Embedded Systems
Open-source hardware releases designs—including schematics, bill of materials, and fabrication instructions—under licenses allowing study, modification, reproduction, and sale.[90] Unlike proprietary hardware, it supports community iteration, though manufacturing adds costs. In embedded systems for IoT and microcontrollers, it aids customization and interoperability.[91]Arduino, launched in 2005 at Italy's Interaction Design Institute Ivrea, offers low-cost boards like the Arduino Uno with open schematics and firmware, driving projects in robotics, sensors, and automation. By 2023, it lowered barriers for millions.[92][93]RISC-V, an open instruction set architecture from UC Berkeley in 2010, enables royalty-free cores for low-power embedded use in IoT and edge computing. Its market hit USD 1.76 billion in 2024, with 30.7% CAGR to 2034, favoring it over licensed ISAs like ARM in automotive and consumer electronics.[94][39][95]Open embedded OS like FreeRTOS and Zephyr provide real-time kernels; FreeRTOS, acquired by Amazon in 2017, runs on billions of microcontrollers for task management. These offer modularity and vetting but face certification hurdles in safety-critical areas like medical devices, where proprietary options prevail due to liability.[96][97] Open designs shorten prototyping cycles and speed market entry.[98]
In Emerging Fields like AI and Robotics
Open source accelerates artificial intelligence via accessible frameworks for experimentation. TensorFlow, Google's 2015 Apache-licensed library, supports machine learning across hardware and has billions of downloads with thousands of contributors.[99]PyTorch, from Meta AI in 2016, aids deep learning research in natural language processing and computer vision. Hugging Face's 2018 Transformers library offers over 500,000 pre-trained models by 2025 for fine-tuning.[100] Models like Meta's Llama and DeepSeek enable customization without fees, topping benchmarks in reasoning and coding.[101][102] Shared code and datasets drive breakthroughs in image and language tasks.[103]In robotics, Robot Operating System (ROS), released in 2007 by Willow Garage and now by Open Robotics, provides middleware for drivers, simulators, and algorithms, with over 1,000 packages for navigation and manipulation. ROS 2, stable by 2020, meets real-time and security needs for autonomous vehicles and automation, adopted by Amazon and Toyota.[104][105] Reusable components like SLAM cut development time. Open hardware for arms and sensors, including Arduino-based controls, aids prototyping.[106][107]Challenges include security risks: open-weight models like Llama (from 2023) can enable malware or disinformation. ROS dual-use for drones raises military concerns. Vulnerabilities in codebases need auditing, though open scrutiny speeds patching over closed systems.[108][109][110][111]
Broader Applications and Extensions
In Science, Medicine, and Engineering
Open source software supports reproducible research through modifiable tools for data analysis and simulation, saving an average 87% in costs compared to proprietary options.[112] In astronomy and physics, NASA's open source X-Plane Communications Toolbox aids flight simulator interfaces for aerodynamic modeling.[113] OpenMx enables structural equation modeling for population genetics and behavioral studies, with upgrades boosting efficiency for large datasets.[114] These tools enhance transparency and collaboration, as seen in Stanford's contributions to containerized high-performance computing.[115]In medicine, open platforms manage data and diagnostics, especially in resource-limited areas. OpenMRS, started in 2004, standardizes electronic health records for decision-making and surveillance, used in over 70 countries.[116] AutoDock Vina supports drug discovery via virtual screening, broadening access since 2010.[117] SOAR, launched in June 2025, uses open AI for spatial-transcriptomics to map gene expression and speed oncology targets.[118] Ehrapy, from September 2024, analyzes health records for epidemiology with modular design.[119] Consortia yield candidates for neglected diseases via crowdsourcing.[120]In engineering, open tools aid design and simulation, avoiding licensed dependencies. FreeCAD, under LGPL, offers parametric 3D modeling with finite element analysis for mechanical and product design.[121]OpenModelica handles multiphysics for automotive and aerospaceprototyping without vendor lock-in.[122] SU2 solves Navier-Stokes for computational fluid dynamics in vehicledesign.[123] Community fixes drive gains, but verification mitigates risks.[124] Open source enables rapid prototyping and knowledge transfer, accelerating innovation like in software development.[125]
In Non-Technical Domains like Agriculture and Media
Open source principles, termed "the open source way," extend to non-technical fields like media, education, and civics via four tenets: transparency in processes; collaborative content creation; merit-based influence; and rapid prototyping through iteration.[126]Open Knowledge applies these freedoms to content, allowing access, reuse, and redistribution.[127]In agriculture, open software provides cost-free tools for management. FarmOS tracks crops, soil, and livestock for organic farming.[128] LiteFarm offers geospatial planning, serving over 1,000 farms by 2023 with yield predictions.[129] Savings reach 50% versus commercial tools, though technical barriers limit uptake.[130]Open hardware like FarmBot automates planting and irrigation via GitHub designs since 2014.[131]Open Source Ecology blueprints enable local machinery fabrication, matching industrial efficiency at lower cost.[132] NC State's 2025 plant image dataset trains AI for pest detection, improving accuracy 20-30%.[133]In media, open platforms enable collaborative production. Sourcefabric tools support newsrooms like Al Jazeera for real-time multimedia.[134] OpenNews fosters journalist code-sharing for visualizations used by The Guardian.[135]Open journalism uses public resources; USC Annenberg's 2024 program trains on satellite imagery for environmental issues.[136] Global Investigative tools detect disinformation in social media.[137]Media Cloud analyzes biases across sources.[138] These democratize access but risk quality without peer review.
Controversies and Debates
Security Risks and Vulnerability Exploitation
Open source software's public codebases allow scrutiny by security researchers and adversaries alike, enabling vulnerability detection and exploitation. Transparency theoretically aids rapid fixes via "many eyes" (Linus's law), but widespread use in critical infrastructure, underfunding, and dependency chains heighten risks, including supply chain attacks. A 2024 Harvard Business School analysis found open source components in 96% of scanned codebases, amplifying single-flaw impacts across ecosystems.[139]Key exploits illustrate these issues. The Heartbleed bug (CVE-2014-0160), disclosed April 7, 2014, in OpenSSL versions 1.0.1 to 1.0.1f, allowed remote reading of up to 64 kilobytes of server memory, exposing keys, credentials, and more without detection. It affected two-thirds of internet servers using vulnerable builds and was quickly exploited post-disclosure.[140][141][142]Log4Shell (CVE-2021-44228), revealed December 9, 2021, in ApacheLog4j versions 2.0-beta9 to 2.14.1, permitted remote code execution through malicious logs, impacting millions of Java applications like Minecraft servers and cloud services. IBM noted a 34% rise in exploitations afterward, with groups like Conti ransomware using it for access.[143]Recent threats include maintainer compromise, as in the March 2024 XZ Utils backdoor (CVE-2024-3094) in versions 5.6.0-5.6.1. A presumed state actor ("Jia Tan") inserted code over two years to weaken SSH authentication in this Linux compression library. Discovered by Microsoft engineer Andres Freund, it was halted before broad distro adoption like Fedora, highlighting risks in low-contributor projects and social engineering. The U.S. Cybersecurity and Infrastructure Security Agency (CISA) cited it as evidence of supply chain fragility.[144][145][146]Compared to proprietary software, open source shows mixed results. A 2005 study of applications found fewer vulnerabilities per thousand lines of code after adjusting for review intensity, due to peer review. Yet open source leads CVE counts: over 40,000 in 2024 (up 38% from 2023), with 92 new exploits in H1 2024, many from OSS libraries. Underfunding delays patches amid maintainer burnout, unlike proprietary teams, though openness sped XZ mitigations. Risks arise more from development incentives than visibility alone.[147][148]
Fragmentation, Forking, and Quality Control Issues
Fragmentation creates incompatible variants, raising interoperability and maintenance costs. In Android, it links to 220 compatibility issues across apps from device customizations and version splits.[149] Linux distributions, with hundreds of variants, face unified update challenges.[150] Language fragmentation reduces contributions via coordination burdens.[151]Forking worsens this by splitting projects, scattering resources and causing confusion. Analyses of hard forks show risks of community division and inefficient change propagation. Motivations include 19% from stagnation, leading to redundancy and sustainability issues. Fork entropy correlates negatively with bug reports, signaling diluted quality focus. Blockchain forks exemplify proliferation over innovation.[152][153][154][155]Decentralized governance strains quality control. 58% of maintainers have quit or considered it, with 46% unpaid and facing scrutiny, stalling issues. Burnout tops challenges for 45%, worsened by an aging base (45% over a decade, 9% newcomers). Fragmentation duplicates burdens, yielding undermaintained code prone to bugs and delayed vulnerability fixes.[156][157][158][159][160]
Corporate Co-optation and Ideological Dilution
Corporate engagement surged post-2010s, via acquisitions like Microsoft's $7.5 billion GitHub buy (2018) and IBM's $34 billion Red Hat deal (2019), allowing direction toward proprietary features. "Open core" releases basics openly but reserves advanced tools—like MongoDB and Elastic's scalability—for proprietary add-ons, with license shifts (e.g., SSPL in 2018/2021) to block cloud exploitation. Critics see this as exploiting community without full reciprocity, creating vendor lock-in.[161]Ideological shifts began with the 1998 "open source" rebrand, prioritizing reusability over free software ethics, per Richard Stallman. Permissive licenses (MIT, Apache) dominate 70%+ of GitHub repos by 2023, allowing proprietary derivatives without disclosure, unlike GPL copyleft. Bruce Perens argued in 2024 that poor developer pay enabled corporate dominance, extracting $8.8 trillion in value (2010-2022) with limited reinvestment.[9][162][44]Maintainers face burnout coordinating corporate code favoring cloud over access. "Openwashing" erodes trust by marketing partial openness while curbing forks, as in HashiCorp's 2023 Terraform license change. This favors shareholder value over hacker ethics, spurring calls for stricter principles.[163][164][165]
Criticism from Free Software Activists
Free software advocates, including Richard Stallman and the Free Software Foundation (FSF), criticize open source for favoring efficiency and business utility over user freedoms. Stallman's 1998 essay argues it sidesteps proprietary software's moral flaws—denying rights to understand, modify, and share—by treating openness as pragmatic. The FSF upholds four freedoms (run, study/change, redistribute, distribute modifications) as core, faulting permissive licenses for allowing proprietary extensions without reciprocity. This pits ethical resistance against pragmatic collaboration, with activists prioritizing user autonomy.[9]
Openness Disputes in AI and Generative Models
OpenAI, launched 2015 as nonprofit for open AI, turned proprietary by 2019 for scaling models like GPT-3. Elon Musk's 2024 suits claimed breaches of openness pledges, favoring Microsoft profits. xAI released Grok-1 weights and architecture openly in March 2024—a 314 billion parameter model—allowing inspection despite missing data/code.[166][167][168][169][170]AI "open source" debates exceed code: OSI's 2024 definition requires weights, inference, data, and tools for full freedoms, barring non-commercial or high-risk bans. Meta's Llama releases weights permissively but restricts rival training, failing OSI standards and drawing "openwashing" charges.[171][172][173]Open advocates like EleutherAI and Mistral argue partial openness boosts innovation via fine-tuning, with Llama derivatives excelling in tasks by mid-2025. Closed proponents (Anthropic, OpenAI) cite misuse risks, but open audits often match proprietary safeguards without catastrophes by October 2025. Unguarded models like Qwen3-Coder shift responsibility to users. Sam Altman admitted in 2025 OpenAI erred post-DeepSeek releases, hinting at hybrids. Openness drives progress but raises dual-use risks; closure aids safety yet centralizes power.[174][175][176][177][178][179]
Societal and Cultural Dimensions
Impacts on Innovation and Competition
Open source software (OSS) accelerates technological innovation via code reuse, collaborative development, and reduced duplication across global networks. A 2024 Harvard Business School analysis estimates recreating OSS would cost over $8.8 trillion, underscoring its role in advancements like cloud computing and machine learning. Studies confirm OSS cuts R&D costs, speeds feature integration, and boosts market share through rapid iterations versus proprietary models; a 2024 MDPI review links this to direct efficiency gains.[44][180]OSS lowers entry barriers for competitors, compelling proprietary vendors to improve quality and pricing. A 2021 Production and Operations Management study shows OSS rivalry drives investments in features and price adjustments, exemplified by Apache HTTP Server's capture of over 70% web server market share by 2005, eroding Microsoft's IIS dominance. A 2020 Management Science model depicts hybrid ecosystems where OSS licensing balances originators, contributors, and proprietary players, curbing monopolies while permitting differentiated extensions—though permissive licenses risk margin erosion without strong incentives.[181][182][183]At the macroeconomic level, OSS enhances competitiveness; a 2021 European Commission study forecasts 0.4%–0.6% annual EU GDP growth from a 10% rise in OSS contributions, driven by modular reusability, productivity spillovers, and interoperability free of proprietary lock-in. While OSS democratizes access, it may underfund high-risk research if proprietary secrecy wanes—yet evidence from OSS-led sectors like Linux kernels refutes stagnation.[184][185]
Government Policies and Mandates
U.S. federal policy prioritizes reusing custom code via open source licenses over mandating OSS procurement. The 2016 Federal Source Code Policy requires agencies to release at least 20% of new custom code annually for reuse, aiming to cut duplication and costs. The 2024 SHARE IT Act mandates inter-agency sharing of common custom software for efficiency. DoD policy allows OSS if it meets security standards, requiring warranties or source access for commercial software but favoring it only for superior performance or cost. The 2022 Securing Open Source Software Act tasks CISA with assessing OSS risks in federal systems amid supply chain concerns.[186][187][188][189]European policies encourage OSS for independence and interoperability without blanket mandates. The Commission's 2020–2025 strategy expands OSS in core IT and promotes the EU Public Licence for public sector software. Member states vary: France's 2012 circular evaluates OSS in tenders by total cost of ownership; Germany's 2019 guidelines prioritize it for non-critical systems to avoid lock-in. Switzerland's June 2024 law requires open licensing for all government software, mandating source disclosure for audit and reuse.[190][191][192]Other countries link OSS preferences to sovereignty and efficiency. Peru's 2002 directive favors free software in public administration for autonomy, bolstered by 2005 standardization despite proprietary pushback. Malaysia's Public Sector Open Source Master Plan requires OSS consideration in developments via MyGIFOSS interoperability framework to build local skills. Brazil's 2003 decree integrates OSS federally for digital inclusion, sustained by open government plans. Argentina mandates OSS with open standards government-wide to reduce costs. These cite 20–50% licensing savings but encounter training and integration obstacles.[193][194][195][196][197][198]
Community Dynamics and Ethical Considerations
Open source communities use decentralized, merit-based governance emphasizing voluntary input and collective decisions. Models include do-ocracies (authority from contributions), BDFLs (e.g., Python under Guido van Rossum until 2018), and foundation oversight (e.g., Linux Foundation, Apache Software Foundation) for legal and financial safeguards against IP disputes. Over 90% of projects rely on such structures for global coordination, enabling fast iteration but sparking conflicts over merges and direction, resolved via consensus or voting in covenants.[199][200]Maintainer burnout arises from volunteer demands outpacing support. A 2023 Tidelift survey of 1,000+ maintainers found 58% quit or considered it, due to unpaid review loads (20–30 hours weekly for solos) and absent institutional aid, despite billions in derived value. This delays patches; the 2024 XZ Utils case showed social engineering exploiting isolation, risking Linux distributions. Intel's 2024 survey flags burnout for 45% of respondents, tying it to slowed project velocities on GitHub.[156][201][158]Inclusivity faces barriers, with contributors skewed toward white Western males. Linux Foundation's 2021 survey of 1,000+ developers notes women under 10% of core roles, linked to gatekeeping norms and mentorship gaps. A 2025 arXiv analysis of GitHub data shows 30–50% retention drops for diverse newcomers from unwelcoming dynamics. CHAOSS metrics reveal homogeneous leadership in 70% of communities, potentially curbing innovation.[202][203][204]Ethically, sustainability and value sharing concern unpaid maintainers subsidizing firms like Microsoft via Linux kernel. Copyleft licenses (e.g., 1989 GNU GPL) mandate reciprocity to sustain commons and bar free-riding, keeping derivatives open. Permissive ones (e.g., MIT, in 40% of 2023 GitHub projects) allow proprietary use, aiding autonomy but enabling enclosure without feedback, as with Apple. Black Duck data shows higher proprietary reuse (60%+ vs. copyleft's 20%), risking communal erosion. Transparency counters "openwashing," per Free Software Foundation critiques.[205][206][207]
Future Trajectories
Ongoing Trends and Technological Integrations
Open source software integrates deeply with artificial intelligence, especially via open-source large language models (LLMs) and agentic AI frameworks. By 2025, models like Meta's LLaMA 3 and Mistral AI's permissively licensed weights enable enterprises to fine-tune and deploy without proprietary restrictions, unlike closed systems from major providers.[208][209] Organizations seeking AI-driven competitive advantage adopt these models over 40% more often, citing cost savings and customization.[209] Toolchains such as LangChain and AutoGen support multi-agent workflows, speeding automation and data processing.[210][211]Cloud-native architectures and container orchestration also advance, with Kubernetes and open-source databases topping investment priorities.[212] The 2025 State of Open Source Report notes a shift to long-term support (LTS) stacks for security and scalability, as adoption surpasses 90% in large firms.[213] Edge computing grows through efficient AI models enabling on-device inference, cutting latency and costs in IoT and mobile uses.[214] Frameworks like Ray and BentoML ease distributed AI deployment in hybrid setups.[215]Decentralized systems and big data tools highlight adaptability, as Apache Iceberg offers ACID-compliant formats for data lakes and AI analytics.[216] Self-hosted AI and no-code automation platforms like Activepieces boost accessibility, supporting hybrid models that avoid vendor lock-in.[217] Python's usage for AI and backend tasks rose 7 percentage points from 2024 to 2025, underscoring open source's role in scalable human-machine collaboration.[218]
Persistent Challenges and Potential Reforms
Funding shortages persist, threatening maintenance as voluntary contributions lag behind adoption demands.[219] Extrapolated 2024 data shows $7.7 billion in annual investments, insufficient for security audits, updates, and critical infrastructure dependencies.[86] Maintainer burnout leads to abandoned dependencies and end-of-life issues from weak incentives.[220]Security vulnerabilities endure, with unpatched risks raising systemic failure chances in supply chains.[221] The 2025 Open Source Security and Risk Analysis found license conflicts in 56% of applications, posing compliance threats.[222] Challenges continue into 2025, including unpatched flaws in ecosystems like npm and PyPI.[223]Reforms propose treating open source as public infrastructure for government funding, as in the Sovereign Tech Agency's maintenance and security initiatives.[224] Procurement reforms could favor open source to curb proprietary lock-ins and boost small-developer contributions.[225] Co-funding by corporations and governments, plus grant mandates for open outputs and financial disclosures, would enhance governance, accountability, reproducibility, and sustainability.[226][227]