Pygments é seguro?
Pygments — Nerq Trust Score 80.8/100 (Grau A-). Com base na análise de 2 dimensões de confiança, é considerado seguro para uso. Última atualização: 2026-04-05.
Sim, Pygments é seguro para usar. Pygments é um Python package com um Nerq Trust Score de 80.8/100 (A-), com base em 3 dimensões de dados independentes. 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. Machine-readable data (JSON).
Pygments é seguro?
YES — Pygments has a Nerq Trust Score of 80.8/100 (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 é a pontuação de confiança de Pygments?
Pygments tem uma Pontuação de Confiança Nerq de 80.8/100, obtendo grau A-. Esta pontuação é baseada em 2 dimensões medidas independentemente.
Quais são as principais descobertas de segurança de Pygments?
O sinal mais forte de Pygments é popularidade com 100/100. Nenhuma vulnerabilidade conhecida foi detectada. Atende ao limiar verificado Nerq de 70+.
O que é Pygments e quem o mantém?
| Autor | Matthäus G. Chajdas |
| Categoria | pypi |
| Source | N/A |
Pygments em outras plataformas
Mesmo desenvolvedor/empresa em outros registros:
Pypi semelhantes por Pontuação de Confiança
Safety Guide: Pygments
What is Pygments?
Pygments is a Python package — Pygments is a syntax highlighting package written in Python..
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=pygments
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Pygments has a Nerq Trust Score of 81/100 (A-) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Pygments has a Trust Score of 81/100 (A-).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Análise Detalhada da Pontuação
| 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.
Quais dados Pygments coleta?
Pygments is a Python package maintained by Matthäus G. Chajdas. It receives approximately 168,400,002 weekly downloads. Licensed under BSD-2-Clause.
As a development package, Pygments 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.
Full analysis: Relatório de Privacidade · Privacy review
Pygments é seguro?
Security score: 90/100. Pygments has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under BSD-2-Clause, 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.
Full analysis: Pygments Security Report
Pygments em outras plataformas
Mesmo desenvolvedor/empresa em outros registros:
Como calculamos esta pontuação
Pygments's trust score of 80.8/100 (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)
Perguntas Frequentes
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Disclaimer: As pontuações de confiança da Nerq são avaliações automatizadas baseadas em sinais publicamente disponíveis. Não são endossos ou garantias. Sempre realize sua própria verificação.