Matplotlib
matplotlib.org
What it is
Matplotlib is a free Python library for creating static, animated, and interactive visualizations. The project says it can make publication-quality plots, and interactive figures can support zooming, panning, and updates. Users can customize visual style and figure layout, then export figures to many file formats. Matplotlib can be embedded in JupyterLab and graphical user interfaces. Third-party packages built on it include seaborn, HoloViews, plotnine, Cartopy, and WCSAxes. Official release wheels are available for Linux, macOS, and Windows, while documented runtime dependencies require Python 3.11 or newer. Additional dependencies may be needed for other GUI frameworks, LaTeX rendering, animation saving, and more file formats. The project describes its code as BSD-compatible and grants a royalty-free license subject to its license terms. Community help is available through Discourse, GitHub issues, and Stack Overflow. The project says Matplotlib began as a tool for EEG data and is now used in many fields. Its listed plan is Matplotlib at free.
Spec sheet
- Purpose
- Matplotlib is a Python library for creating static, animated, and interactive visualizations.Read 11 Oct 2026 · matplotlib.org
- Intended users
- The project says Matplotlib began as a tool for EEG data and grew to be used in many different fields.Read 11 Oct 2026 · matplotlib.org
- Free plan
- YesRead 21 Sep 2026 · matplotlib.org
- Integrations
- The project lists third-party packages built on Matplotlib, including seaborn, HoloViews, plotnine, Cartopy, and WCSAxes.Read 11 Oct 2026 · matplotlib.org
- Security
- The Matplotlib 3.11.0 release notes say parsing of the axes.prop_cycle setting was restricted to a safer set of expressions.Read 11 Oct 2026 · matplotlib.org
- Support
- The project directs users to community help through Discourse, GitHub issues, and Stack Overflow.Read 11 Oct 2026 · matplotlib.org
- License
- The project says Matplotlib uses BSD-compatible code and grants a royalty-free license subject to its license terms.Read 11 Oct 2026 · matplotlib.org
- Founded
- 2003Read 28 Sep 2026 · matplotlib.org
- Customization
- Users can customize visual style and figure layout.Read 11 Oct 2026 · matplotlib.org
- Dashboard type
- bothRead 21 Sep 2026 · matplotlib.org
- Data sources
- Python lists,NumPy arraysRead 21 Sep 2026 · matplotlib.org
- Embedded dashboards
- YesRead 21 Sep 2026 · matplotlib.org
- Export
- Matplotlib can export figures to many file formats.Read 11 Oct 2026 · matplotlib.org
- Interactive figures
- Interactive figures can support zooming, panning, and updates.Read 11 Oct 2026 · matplotlib.org
- Jupyter and GUIs
- The project describes embedding Matplotlib in JupyterLab and graphical user interfaces.Read 11 Oct 2026 · matplotlib.org
- Optional components
- Additional dependencies may be needed for other GUI frameworks, LaTeX rendering, animation saving, and more file formats.Read 11 Oct 2026 · matplotlib.org
- Platform
- web_and_desktopRead 21 Sep 2026 · matplotlib.org
- Plot quality
- The project says Matplotlib can create publication-quality plots.Read 11 Oct 2026 · matplotlib.org
- Python requirement
- The documented runtime dependencies require Python 3.11 or newer.Read 11 Oct 2026 · matplotlib.org
- Supported systems
- Official release wheels are available for macOS, Windows, and Linux.Read 11 Oct 2026 · matplotlib.org
Plans and prices
Strong points and limits
Strong points
- Creates static, animated, and interactive visualizations
- Interactive figures can zoom and pan
- Embeds in JupyterLab and graphical interfaces
- Official release wheels for Linux, macOS, and Windows
- BSD-compatible code with royalty-free license
Limits
- Requires Python 3.11 or newer
- Some uses require additional dependencies
Who it suits
Matplotlib suits Python users who need configurable plots for notebooks, graphical interfaces, or export to file formats. Its ecosystem also makes it relevant to users of packages built on Matplotlib.
Verdict
Matplotlib offers a broad visualization library for Python, from static figures to interactive ones. Users should account for the Python requirement and possible extra dependencies for specialized output or interfaces.
Where Specifiction places it
- Data Visualization Software#17 of 988.7
- Data Visualization Libraries Software#8 of 238.2