Er Matplotlib sikker?
Matplotlib — Nerq Trust Score 87.0/100 (Karakter A). Baseret på analyse af 2 tillidsdimensioner vurderes det som sikkert at bruge. Sidst opdateret: 2026-04-05.
Ja, Matplotlib er sikker at bruge. Matplotlib er en 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. Maskinlæsbare data (JSON).
Er Matplotlib sikker?
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.
Hvad er Matplotlibs tillidsscore?
Matplotlib har en Nerq Trust Score på 87.0/100 med karakteren A. Denne score er baseret på 2 uafhængigt målte dimensioner, herunder sikkerhed, vedligeholdelse og community-adoption.
Hvad er de vigtigste sikkerhedsresultater for Matplotlib?
Matplotlibs stærkeste signal er popularitet på 100/100. Ingen kendte sårbarheder er fundet. It meets the Nerq Verified threshold of 70+.
Hvad er Matplotlib og hvem vedligeholder det?
| Udvikler | John D. Hunter, Michael Droettboom |
| Kategori | pypi |
| Kilde | N/A |
Matplotlib på andre platforme
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Lignende Pypi efter tillidsscore
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.
Detaljeret scoreanalyse
| 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.
Hvilke data indsamler Matplotlib?
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.
Fuld analyse: Matplotlib privatlivsrapport · Privacy review
Er Matplotlib sikker?
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.
Fuld analyse: Matplotlib sikkerhedsrapport
Matplotlib på andre platforme
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Sådan beregnede vi denne score
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)
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Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.