Je Matplotlib bezpečný?
Matplotlib — Nerq Trust Score 87.0/100 (Stupeň A). Na základě analýzy 2 dimenzí důvěryhodnosti je považován za bezpečný. Naposledy aktualizováno: 2026-04-05.
Ano, Matplotlib je bezpečný k použití. Matplotlib je Python package with a Nerq Trust Score of 87.0/100 (A), based on 3 independent data dimensions. It is recommended for production use. Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-05. Strojově čitelná data (JSON).
Je Matplotlib bezpečný?
YES — Matplotlib has a Nerq Trust Score of 87.0/100 (A). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.
Jaké je skóre důvěryhodnosti Matplotlib?
Matplotlib má Nerq skóre důvěryhodnosti 87.0/100 se stupněm A. Toto skóre je založeno na 2 nezávisle měřených dimenzích.
Jaká jsou klíčová bezpečnostní zjištění pro Matplotlib?
Nejsilnější signál Matplotlib je popularita na 100/100. Nebyly zjištěny žádné známé zranitelnosti. Splňuje ověřený práh Nerq 70+.
Co je Matplotlib a kdo jej spravuje?
| Autor | John D. Hunter, Michael Droettboom |
| Kategorie | pypi |
| Zdroj | N/A |
Matplotlib na dalších platformách
Stejný vývojář/společnost v jiných registrech:
Podobné Pypi podle skóre důvěryhodnosti
Safety Guide: Matplotlib
What is Matplotlib?
Matplotlib is a Python package — Python plotting package.
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=matplotlib
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Matplotlib has a Nerq Trust Score of 76/100 (B+) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Matplotlib has a Trust Score of 76/100 (B+).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Podrobná analýza skóre
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Privacy | 80/100 |
| Reliability | 90/100 |
| Transparency | 85/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
Jaká data Matplotlib shromažďuje?
Matplotlib is a Python package maintained by John D. Hunter, Michael Droettboom. It receives approximately 43,561,223 weekly downloads. Licensed under License agreement for matplotlib versions 1.3.0 and later =================================.
As a development package, Matplotlib does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Úplná analýza: Zpráva o soukromí Matplotlib · Privacy review
Je Matplotlib bezpečný?
Security score: 90/100. Matplotlib has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under License agreement for matplotlib versions 1.3.0 and later =================================, allowing code inspection. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Úplná analýza: Bezpečnostní zpráva Matplotlib
Matplotlib na dalších platformách
Stejný vývojář/společnost v jiných registrech:
Jak jsme vypočítali toto skóre
Matplotlib's trust score of 87.0/100 (A) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), privacy (80/100), reliability (90/100), transparency (85/100), maintenance (60/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on April 05, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Často kladené otázky
Is Matplotlib safe to use?
What is Matplotlib's trust score?
What are safer alternatives to Matplotlib?
Does Matplotlib have known vulnerabilities?
How actively maintained is Matplotlib?
Popular in pypi
Browse Categories
Disclaimer: Skóre důvěryhodnosti Nerq jsou automatizovaná hodnocení založená na veřejně dostupných signálech. Nejsou doporučením ani zárukou. Vždy proveďte vlastní ověření.