Is Cellxgene Schema Safe?
Cellxgene Schema — Nerq Trust Score 69.8/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Cellxgene Schema is a Python package with a Nerq Trust Score of 69.8/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Cellxgene Schema safe?
Trust Score Breakdown — Cellxgene Schema has a Nerq Trust Score of 69.8/100 (B-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Cellxgene Schema's trust score?
Cellxgene Schema has a Nerq Trust Score of 69.8/100, 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 Cellxgene Schema?
Cellxgene Schema's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Cellxgene Schema and who maintains it?
| Author | Chan Zuckerberg Initiative |
| Category | Python Packages |
| Source | N/A |
Cellxgene Schema Across Platforms
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Safety Guide: Cellxgene Schema
What is Cellxgene Schema?
Cellxgene Schema is a Python package — Tool for applying and validating cellxgene integration schema to single cell datasets.
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=cellxgene-schema
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Cellxgene Schema has a Nerq Trust Score of 70/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Cellxgene Schema has a Trust Score of 70/100 (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.