matplotlib
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
Check out our home page for more information.
Matplotlib produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, Python/IPython shells, web application servers, and various graphical user interface toolkits.
See the install
documentation,
which is generated from /doc/install/index.rst
You've discovered a bug or something else you want to change — excellent!
You've worked out a way to fix it — even better!
You want to tell us about it — best of all!
Start at the contributing guide!
Discourse is the discussion forum for general questions and discussions and our recommended starting point.
Our active mailing lists (which are mirrored on Discourse) are:
Gitter is for coordinating development and asking questions directly related to contributing to matplotlib.
If Matplotlib contributes to a project that leads to publication, please acknowledge this by citing Matplotlib.
A ready-made citation entry is available.
FAQs
Python plotting package
We found that matplotlib demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
GitHub postponed a new billing model for self-hosted Actions after developer pushback, but moved forward with hosted runner price cuts on January 1.
Research
Destructive malware is rising across open source registries, using delays and kill switches to wipe code, break builds, and disrupt CI/CD.
Security News
Socket CTO Ahmad Nassri shares practical AI coding techniques, tools, and team workflows, plus what still feels noisy and why shipping remains human-led.
