Is Fastparquet Safe?
Fastparquet — Nerq Trust Score 76.0/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Fastparquet is a Python package with a Nerq Trust Score of 76.0/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-07-22 Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).
Is Fastparquet safe?
Trust Score Breakdown — Fastparquet has a Nerq Trust Score of 76.0/100 (B+). Measured across 2 independent trust signals (as of 2026-07-22).
What is Fastparquet's trust score?
Fastparquet has a Nerq Trust Score of 76.0/100, 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 Fastparquet?
Fastparquet's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Fastparquet and who maintains it?
| Author | Martin Durant |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Fastparquet
What is Fastparquet?
Fastparquet is a Python package — Python support for Parquet file format.
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=fastparquet
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Fastparquet has a Nerq Trust Score of 76/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Fastparquet has a Trust Score of 76/100 (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.
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.