Please join the Graphviz forum to ask questions and discuss Graphviz. What is Graphviz? Graphviz is open source graph visualization software. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics, software engineering, database and web design, machine learning, and in visual interfaces for other technical domains.
Graphviz is open source graph visualization software. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics, software engineering, database and web design, machine learning, and in visual interfaces for other technical domains.
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Graphviz uses the DOT language to describe graphs, which is a plain text graph description language.
Implements several layout algorithms such as dot, neato, twopi, circo, and fdp.
Graphviz is available on multiple platforms including Windows, Linux, and macOS.
Provides comprehensive documentation for users and developers.
Offers a suite of command-line tools for graph visualization.
Can be used as a library in various programming languages.
Supports multiple output formats including PNG, PDF, SVG, and more.
Some tools and libraries allow for interactive exploration of graphs.
Has a strong community and is supported by many third-party tools and libraries.
Widely used in academic settings for teaching graph theory and data visualization.
Graphviz is licensed under the Eclipse Public License.
Active development with contributions from a global community.
Used in a wide range of applications from network design to bioinformatics.
Easily integrates with other software and tools for enhanced functionality.
Optimized for performance with large and complex graphs.
Designed to be accessible to users with varying levels of expertise.
Numerous community projects and extensions are available to extend its capabilities.
Security headers report is a very important part of user data protection. Learn more about http headers for graphviz.org