Security Audit

Matplotlib Security Audit

Matplotlib is a widely used PyPI package with no known vulnerabilities currently listed in the OSV database as of 2026-05-24. The latest stable version is 3.10.9. Regular dependency audits are still recommended.

Package Overview

Package
matplotlib
Ecosystem
PyPI
Latest Version
3.10.9
License
See package
Description
Python plotting package
Repository
https://github.com/matplotlib/matplotlib

Known Vulnerabilities

No known vulnerabilities are currently listed in the OSV database for this package. This does not guarantee the absence of security issues. Regular audits are recommended.

Security Recommendations

  1. Pin Matplotlib to the latest stable version (3.10.9) in your dependency manifest
  2. Enable automated dependency updates with Dependabot or Renovate
  3. Run regular vulnerability scans using pip-audit
  4. Review your lock file (requirements.txt) after every update
  5. Monitor the OSV database and NIST NVD for new advisories

FAQ

Is Matplotlib safe to use?
Matplotlib is actively maintained and widely used. As of 2026-05-24, there are 0 known vulnerabilities listed in the OSV database. Most have patches available. Keeping your dependencies updated and running regular security audits significantly reduces risk.
What vulnerabilities does Matplotlib have?
The OSV database currently lists 0 vulnerabilities for Matplotlib. These range in severity and are detailed in the vulnerability table above. Check the linked advisories for full technical details and remediation guidance.
How do I update Matplotlib to fix vulnerabilities?
Run pip install --upgrade matplotlib to get the newest version. Use pip-audit or safety check to scan for known vulnerabilities. Pin your dependencies with a requirements file and review updates regularly.

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