Is Autoprefixer Safe?
Autoprefixer — Nerq Trust Score 53.0/100 (C- grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-05-09.
Use Autoprefixer with some caution. Autoprefixer is a Python package with a Nerq Trust Score of 53.0/100 (C-), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Autoprefixer safe?
CAUTION — Autoprefixer has a Nerq Trust Score of 53.0/100 (C-). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Autoprefixer's trust score?
Autoprefixer has a Nerq Trust Score of 53.0/100, earning a C- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Autoprefixer?
Autoprefixer's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Autoprefixer and who maintains it?
| Author | Mark Finger |
| Category | Python Packages |
| Source | N/A |
Autoprefixer Across Platforms
Same developer/company in other registries:
Similar Pypi by Trust Score
Safety Guide: Autoprefixer
What is Autoprefixer?
Autoprefixer is a Python package — UNKNOWN.
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=autoprefixer
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Autoprefixer has a Nerq Trust Score of 53/100 (C-) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Autoprefixer has a Trust Score of 53/100 (C-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 51/100 |
| Popularity | 30/100 |
| Quality | 40/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Autoprefixer collect?
Privacy assessment for Autoprefixer is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Autoprefixer secure?
Security score: 90/100. Autoprefixer has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under UNKNOWN, 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: Autoprefixer Security Report
Autoprefixer Across Platforms
Same developer/company in other registries:
How we calculated this score
Autoprefixer's trust score of 53.0/100 (C-) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (51/100), popularity (30/100), quality (40/100), 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.
This page was last reviewed on May 09, 2026. Data version: 0.0.
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.