A JavaScript-based diagramming tool that generates flowcharts, sequence diagrams, and more from markdown-like text definitions.
Mermaid is a JavaScript library that generates diagrams and charts from text definitions using a markdown-like syntax. It solves the problem of documentation rot by making diagrams easy to create, update, and maintain directly within documentation or code. It supports a wide range of diagram types including flowcharts, sequence diagrams, and Gantt charts.
Developers, technical writers, and teams who need to create and maintain diagrams in documentation, wikis, or code repositories. It's especially useful for those who prefer text-based workflows and version-controlled diagramming.
Developers choose Mermaid because it integrates seamlessly into their existing workflows, eliminates the need for manual drawing tools, and keeps diagrams in sync with documentation through simple text definitions. Its open-source nature and wide adoption in tools like GitHub make it a versatile and community-supported solution.
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
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Uses a simple, text-based syntax that integrates seamlessly with documentation workflows, as demonstrated in the live editor examples for flowcharts and sequence diagrams.
Supports over 10 diagram types including flowcharts, Gantt charts, and C4 diagrams, making it versatile for various technical documentation needs, as listed in the README examples.
Includes an online live editor for real-time preview and editing, highlighted in the README with links to try future releases, which aids in rapid prototyping.
Works within GitHub and many documentation tools, with extensive community integrations mentioned, such as for production scripts and automated diagram generation.
The README admits security risks with user input, requiring sandboxed iframe rendering that blocks interactive functionality, limiting dynamic features.
For complex diagrams, the syntax can be non-intuitive and requires learning specific keywords, which may deter users unfamiliar with code-like definitions.
As a JavaScript library, it requires a runtime environment, making it unsuitable for fully static sites or environments without client-side execution capabilities.