Is Cplex Safe?
Cplex — Nerq Trust Score 64.2/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Cplex is a Python package with a Nerq Trust Score of 64.2/100 (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 Cplex safe?
Trust Score Breakdown — Cplex has a Nerq Trust Score of 64.2/100 (C+). Measured across 2 independent trust signals (as of 2026-07-22).
What is Cplex's trust score?
Cplex has a Nerq Trust Score of 64.2/100, 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 Cplex?
Cplex's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Cplex and who maintains it?
| Author | IBM |
| Category | Python Packages |
| Source | N/A |
Cplex Across Platforms
Same developer/company in other registries:
Similar Pypi by Trust Score
Safety Guide: Cplex
What is Cplex?
Cplex is a Python package — A Python interface to the CPLEX Callable Library, Community Edition..
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=cplex
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Cplex has a Nerq Trust Score of 64/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Cplex has a Trust Score of 64/100 (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.