Matplotlib è sicuro?
Matplotlib — Nerq Trust Score 87.0/100 (Grado A). Sulla base dell'analisi di 2 dimensioni di fiducia, è considerato sicuro da usare. Ultimo aggiornamento: 2026-04-05.
Sì, Matplotlib è sicuro da usare. Matplotlib è un 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. Dati leggibili dalle macchine (JSON).
Matplotlib è sicuro?
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.
Qual è il punteggio di fiducia di Matplotlib?
Matplotlib ha un Nerq Trust Score di 87.0/100 con voto A. Questo punteggio si basa su 2 dimensioni misurate indipendentemente, tra cui sicurezza, manutenzione e adozione della community.
Quali sono i risultati di sicurezza chiave per Matplotlib?
Il segnale più forte di Matplotlib è popolarità a 100/100. Non sono state rilevate vulnerabilità note. It meets the Nerq Verified threshold of 70+.
Cos'è Matplotlib e chi lo mantiene?
| Autore | John D. Hunter, Michael Droettboom |
| Categoria | pypi |
| Fonte | N/A |
Matplotlib su altre piattaforme
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Pypi simili per Punteggio di Fiducia
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.
Analisi dettagliata del punteggio
| 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.
Quali dati raccoglie 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.
Analisi completa: Report sulla privacy di Matplotlib · Privacy review
Matplotlib è sicuro?
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.
Analisi completa: Report di sicurezza di Matplotlib
Matplotlib su altre piattaforme
Stesso sviluppatore/azienda in altri registri:
Come abbiamo calcolato questo punteggio
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)
Domande frequenti
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Disclaimer: I punteggi di fiducia Nerq sono valutazioni automatizzate basate su segnali disponibili pubblicamente. Non costituiscono raccomandazioni o garanzie. Effettua sempre la tua verifica personale.