Is Rapid Pe Safe?
Rapid Pe — Nerq Trust Score 68.0/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Rapid Pe is a Python package with a Nerq Trust Score of 68.0/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-07-22 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).
Is Rapid Pe safe?
Trust Score Breakdown — Rapid Pe has a Nerq Trust Score of 68.0/100 (B-). Measured across 2 independent trust signals (as of 2026-07-22).
What is Rapid Pe's trust score?
Rapid Pe has a Nerq Trust Score of 68.0/100, 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 Rapid Pe?
Rapid Pe's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Rapid Pe and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Rapid Pe
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Rapid Pe is a Python package — RapidPE: The original low-latency gravitational wave parameter estimation code..
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=rapid-pe
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Rapid Pe has a Nerq Trust Score of 68/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Rapid Pe has a Trust Score of 68/100 (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.