Backrefs é seguro?
Backrefs — Nerq Trust Score 74.2/100 (Grau B). Com base na análise de 2 dimensões de confiança, é geralmente seguro, mas com algumas preocupações. Última atualização: 2026-04-05.
Sim, Backrefs é seguro para usar. Backrefs é um Python package com um Nerq Trust Score de 74.2/100 (B), com base em 3 dimensões de dados independentes. It is recommended for production use. Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-05. Machine-readable data (JSON).
Backrefs é seguro?
YES — Backrefs has a Nerq Trust Score of 74.2/100 (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 Backrefs?
Backrefs tem uma Pontuação de Confiança Nerq de 74.2/100, obtendo grau B. Esta pontuação é baseada em 2 dimensões medidas independentemente.
Quais são as principais descobertas de segurança de Backrefs?
O sinal mais forte de Backrefs é segurança com 90/100. Nenhuma vulnerabilidade conhecida foi detectada. Atende ao limiar verificado Nerq de 70+.
O que é Backrefs e quem o mantém?
| Autor | Unknown |
| Categoria | pypi |
| Source | N/A |
Pypi semelhantes por Pontuação de Confiança
Safety Guide: Backrefs
What is Backrefs?
Backrefs is a Python package — A wrapper around re and regex that adds additional back references..
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=backrefs
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Backrefs has a Nerq Trust Score of 74/100 (B) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Backrefs has a Trust Score of 74/100 (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 | 50/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
Quais dados Backrefs coleta?
Backrefs is a Python package maintained by Unknown. It receives approximately 2,722,423 weekly downloads.
As a development package, Backrefs 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
Backrefs é seguro?
Security score: 90/100. Backrefs has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
License information not available. 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: Backrefs Security Report
Como calculamos esta pontuação
Backrefs's trust score of 74.2/100 (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 (50/100), 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.