Is Pyswarms Safe?
Pyswarms — Nerq Trust Score 61.2/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Pyswarms is a Python package with a Nerq Trust Score of 61.2/100 (C+), 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 Pyswarms safe?
Trust Score Breakdown — Pyswarms has a Nerq Trust Score of 61.2/100 (C+). Measured across 2 independent trust signals (as of 2026-07-22).
What is Pyswarms's trust score?
Pyswarms has a Nerq Trust Score of 61.2/100, 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 Pyswarms?
Pyswarms's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Pyswarms and who maintains it?
| Author | Lester James V. Miranda |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Pyswarms
What is Pyswarms?
Pyswarms is a Python package — A Python-based Particle Swarm Optimization (PSO) 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=pyswarms
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Pyswarms has a Nerq Trust Score of 61/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pyswarms has a Trust Score of 61/100 (C+).
- 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.