Toml é seguro?
Toml — Nerq Trust Score 72.2/100 (Grau B). Com base na análise de 2 dimensões de confiança, é geralmente seguro, mas com algumas preocupações. Última atualização: 2026-04-05.
Sim, Toml é seguro para usar. Toml é um Python package com um Nerq Trust Score de 72.2/100 (B), 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).
Toml é seguro?
YES — Toml has a Nerq Trust Score of 72.2/100 (B). 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 Toml?
Toml tem uma Pontuação de Confiança Nerq de 72.2/100, obtendo grau B. Esta pontuação é baseada em 2 dimensões medidas independentemente.
Quais são as principais descobertas de segurança de Toml?
O sinal mais forte de Toml é popularidade com 100/100. Nenhuma vulnerabilidade conhecida foi detectada. Atende ao limiar verificado Nerq de 70+.
O que é Toml e quem o mantém?
| Autor | William Pearson |
| Categoria | pypi |
| Source | N/A |
Toml em outras plataformas
Mesmo desenvolvedor/empresa em outros registros:
Pypi semelhantes por Pontuação de Confiança
Safety Guide: Toml
What is Toml?
Toml is a Python package — Python Library for Tom's Obvious, Minimal Language.
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=toml
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Toml has a Nerq Trust Score of 72/100 (B) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Toml has a Trust Score of 72/100 (B).
- 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 Toml coleta?
Toml is a Python package maintained by William Pearson. It receives approximately 28,972,698 weekly downloads. Licensed under MIT.
As a development package, Toml 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
Toml é seguro?
Security score: 90/100. Toml has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT, 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: Toml Security Report
Toml em outras plataformas
Mesmo desenvolvedor/empresa em outros registros:
Como calculamos esta pontuação
Toml's trust score of 72.2/100 (B) 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
Is Toml safe to use?
What is Toml's trust score?
What are safer alternatives to Toml?
Does Toml have known vulnerabilities?
How actively maintained is Toml?
Popular em pypi
Navegar categorias
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.