Is Cellmaps Ppi Embedding Safe?
Cellmaps Ppi Embedding — Nerq Trust Score 59.0/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Cellmaps Ppi Embedding is a Python package with a Nerq Trust Score of 59.0/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Cellmaps Ppi Embedding safe?
Trust Score Breakdown — Cellmaps Ppi Embedding has a Nerq Trust Score of 59.0/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is Cellmaps Ppi Embedding's trust score?
Cellmaps Ppi Embedding has a Nerq Trust Score of 59.0/100, 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 Cellmaps Ppi Embedding?
Cellmaps Ppi Embedding's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Cellmaps Ppi Embedding and who maintains it?
| Author | Cell Maps team |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Compare
Safety Guide: Cellmaps Ppi Embedding
What is Cellmaps Ppi Embedding?
Cellmaps Ppi Embedding is a Python package — A tool to generate embeddings from networks.
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=cellmaps-ppi-embedding
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Cellmaps Ppi Embedding has a Nerq Trust Score of 59/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Cellmaps Ppi Embedding has a Trust Score of 59/100 (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
Is Cellmaps Ppi Embedding Safe?
What is Cellmaps Ppi Embedding's trust score?
What are safer alternatives to Cellmaps Ppi Embedding?
Does Cellmaps Ppi Embedding have known vulnerabilities?
Is Cellmaps Ppi Embedding actively maintained?
Popular in Python Packages
Browse Categories
See Also
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.