Is Html5Lib Safe?
Html5Lib — Nerq Trust Score 73.5/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-04-12
Html5Lib is a Python package with a Nerq Trust Score of 73.5/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-04-12 Security: 90/100. Popularity: 90/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-12. Machine-readable data (JSON).
Is Html5Lib safe?
Trust Score Breakdown — Html5Lib has a Nerq Trust Score of 73.5/100 (B). Measured across 2 independent trust signals (as of 2026-04-12).
What is Html5Lib's trust score?
Html5Lib has a Nerq Trust Score of 73.5/100, earning a B grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Html5Lib?
Html5Lib's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Html5Lib and who maintains it?
| Author | James Graham |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Html5Lib
What is Html5Lib?
Html5Lib is a Python package — HTML parser based on the WHATWG HTML specification.
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=html5lib
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Html5Lib has a Nerq Trust Score of 74/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Html5Lib has a Trust Score of 74/100 (B).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 77/100 |
| Popularity | 90/100 |
| Quality | 65/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Html5Lib collect?
Html5Lib is a Python package maintained by James Graham. It receives approximately 7,496,860 weekly downloads. Licensed under MIT License.
As a development package, Html5Lib 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: Html5Lib Privacy Report · Privacy review
Is Html5Lib secure?
Security score: 90/100. Html5Lib has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT License, 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: Html5Lib Security Report
How we calculated this score
Html5Lib's trust score of 73.5/100 (B) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (77/100), popularity (90/100), quality (65/100), community (35/100). 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.
Signals last measured on April 12, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.