Graphviz
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| Graphviz | |
|---|---|
| Name | Graphviz |
| Developer | AT&T Research |
| Released | 1990s |
| Programming language | C, C++ |
| Operating system | Unix-like, Windows, macOS |
| License | Eclipse Public License |
Graphviz is an open-source software package for visualizing structural information as diagrams. It produces directed and undirected graphs from textual descriptions and integrates with tools across Linux, Microsoft Windows, macOS, X Window System and scientific ecosystems such as Python (programming language), R (programming language), and LaTeX. Widely used in industry and academia, it has influenced visualization in projects associated with Cisco Systems, IBM, Google, Microsoft and research from AT&T and Bell Laboratories.
Overview
Graph drawing with Graphviz converts abstract descriptions into concrete layouts using algorithms from computational geometry and graph theory developed in research venues such as ACM SIGGRAPH, IEEE, and European Symposium on Algorithms. Implementations adopt layout engines inspired by work from authors affiliated with University of California, Berkeley, Massachusetts Institute of Technology, Stanford University, and Princeton University. Outputs integrate with publications from Nature (journal), Science (journal), and technical reports at arXiv and presentation systems like Beamer (LaTeX class). Toolchains often connect to version control and collaboration platforms including GitHub, GitLab, and Bitbucket.
History and Development
Development began at AT&T Bell Labs during research programs that included staff who previously worked on projects at Bell Labs Innovations and collaborations with the National Science Foundation. Early contributions reference algorithms from conferences such as Symposium on Foundations of Computer Science and journals like Journal of the ACM. Over time stewardship involved contributors from organizations including Lucent Technologies, Sun Microsystems, and corporate adopters such as IBM Research and Google Research. The project transitioned licensing and governance models influenced by precedents set by Free Software Foundation discussions and corporate open-source strategies at Red Hat.
Features and Components
Graphviz comprises multiple layout engines and utilities: engines for hierarchical drawing influenced by Eugène Bézout-era graph theory foundations, engines for force-directed layouts comparable to methods used by researchers at New York University and University of Toronto, and tools that convert between image formats supported by standards from ISO and W3C. Core components echo designs in software from Adobe Systems and visualization systems developed at MIT Media Lab. It supports output formats compatible with graphics suites such as Adobe Illustrator, Inkscape, and publishing pipelines used by Elsevier and IEEE Xplore.
File Formats and Languages
Graphviz uses a plain-text graph description language that interoperates with markup and programming environments like HTML5, XML, and JSON. The DOT language is commonly embedded in documents prepared with LaTeX, Markdown, or notebooks hosted on Jupyter Project and integrates into ecosystems around RStudio and Visual Studio Code. Exported images conform to specifications related to SVG, PNG, PDF, and vector graphics handled by Ghostscript and Poppler libraries. Interchange with data sources from MySQL, PostgreSQL, and SQLite is common in enterprise workflows.
Implementations and Interfaces
Official binaries run on distributions maintained by Debian, Ubuntu, Fedora, and Arch Linux package ecosystems, and third-party ports exist for Microsoft Azure and Amazon Web Services. Bindings and wrappers connect to languages and frameworks including Python (programming language), Java (programming language), C#, Ruby (programming language), Perl, and Go (programming language). Integration plugins appear in editors and IDEs such as Eclipse (software), Visual Studio Code, Atom (text editor), and Emacs. Continuous integration setups use services like Travis CI, CircleCI, and Jenkins to automate diagram generation.
Use Cases and Applications
Graphviz is used for software engineering diagrams in projects by organizations like Facebook, Twitter, Amazon (company), and Netflix. Academic applications include network visualizations in studies from Stanford University, Harvard University, and MIT, and biological pathway rendering in publications from National Institutes of Health labs and consortia such as Human Genome Project. It appears in documentation for protocols by IETF, topology maps for Cisco Systems, dependency graphs in package ecosystems such as npm (software), Maven, and Conda (package manager), and knowledge graphs in initiatives associated with Wikimedia Foundation and DBpedia.
Licensing and Community
The project is distributed under an open-source license influenced by models used by Eclipse Foundation and coordinated through contributor platforms like SourceForge and GitHub. The community includes academic researchers affiliated with Carnegie Mellon University, contributors from corporate labs such as Microsoft Research and IBM Research, and open-source maintainers from organizations like Canonical (company) and Red Hat. Governance and contributions follow practices observed in projects under Apache Software Foundation and community code-of-conduct patterns used by Linux Foundation projects.