Is Gitpython Safe?
Gitpython — Nerq Trust Score 77.0/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-08-11
Gitpython is a Python package with a Nerq Trust Score of 77.0/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-08-11 Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-08-11. Machine-readable data (JSON).
Is Gitpython safe?
Trust Score Breakdown — Gitpython has a Nerq Trust Score of 77.0/100 (B+). Measured across 2 independent trust signals (as of 2026-08-11).
What is Gitpython's trust score?
Gitpython has a Nerq Trust Score of 77.0/100, 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 Gitpython?
Gitpython's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Gitpython and who maintains it?
| Author | Sebastian Thiel, Michael Trier |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Gitpython
What is Gitpython?
Gitpython is a Python package — GitPython is a Python library used to interact with Git repositories.
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=gitpython
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Gitpython has a Nerq Trust Score of 77/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Gitpython has a Trust Score of 77/100 (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.