Is Charset Normalizer Safe?
Charset Normalizer — Nerq Trust Score 80.8/100 (A- grade). Based on analysis of 2 trust dimensions, it is considered safe to use. Last updated: 2026-03-30.
Yes, Charset Normalizer is safe to use. Charset Normalizer is a Python package with a Nerq Trust Score of 80.8/100 (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: 2026-03-30. Machine-readable data (JSON).
Is Charset Normalizer safe?
YES — Charset Normalizer 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.
What is Charset Normalizer's trust score?
Charset Normalizer has a Nerq Trust Score of 80.8/100, earning a A- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Charset Normalizer?
Charset Normalizer's strongest signal is popularity at 100/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Charset Normalizer and who maintains it?
| Author | Unknown |
| Category | pypi |
| Source | N/A |
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Safety Guide: Charset Normalizer
What is Charset Normalizer?
Charset Normalizer is a Python package — The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet..
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=charset-normalizer
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Charset Normalizer 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
- Charset Normalizer has a Trust Score of 81/100 (A-).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| 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.
What data does Charset Normalizer collect?
Charset Normalizer is a Python package maintained by Unknown. It receives approximately 289,802,201 weekly downloads. Licensed under MIT.
As a development package, Charset Normalizer 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: Charset Normalizer Privacy Report · Privacy review
Is Charset Normalizer secure?
Security score: 90/100. Charset Normalizer 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: Charset Normalizer Security Report
How we calculated this score
Charset Normalizer'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 March 30, 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 assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.