Is Brotli Safe?
Brotli — Nerq Trust Score 70.8/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-04-12
Brotli is a Python package with a Nerq Trust Score of 70.8/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-04-12 Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-12. Machine-readable data (JSON).
Is Brotli safe?
Trust Score Breakdown — Brotli has a Nerq Trust Score of 70.8/100 (B). Measured across 2 independent trust signals (as of 2026-04-12).
What is Brotli's trust score?
Brotli has a Nerq Trust Score of 70.8/100, 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 Brotli?
Brotli's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Brotli and who maintains it?
| Author | The Brotli Authors |
| Category | Python Packages |
| Source | N/A |
Brotli Across Platforms
Same developer/company in other registries:
Similar Pypi by Trust Score
Safety Guide: Brotli
What is Brotli?
Brotli is a Python package — Python bindings for the Brotli compression library.
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=brotli
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Brotli has a Nerq Trust Score of 71/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Brotli has a Trust Score of 71/100 (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 | 60/100 |
| Popularity | 100/100 |
| 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 Brotli collect?
Brotli is a Python package maintained by The Brotli Authors. It receives approximately 15,028,635 weekly downloads. Licensed under MIT.
As a development package, Brotli 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: Brotli Privacy Report · Privacy review
Is Brotli secure?
Security score: 90/100. Brotli 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: Brotli Security Report
Brotli Across Platforms
Same developer/company in other registries:
How we calculated this score
Brotli's trust score of 70.8/100 (B) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (60/100), popularity (100/100), 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.