Is Bagcat Safe?
Bagcat — Nerq Trust Score 51.8/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Bagcat is a Python package with a Nerq Trust Score of 51.8/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Bagcat safe?
Trust Score Breakdown — Bagcat has a Nerq Trust Score of 51.8/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Bagcat's trust score?
Bagcat has a Nerq Trust Score of 51.8/100, 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 Bagcat?
Bagcat's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Bagcat and who maintains it?
| Author | Ed Summers |
| Category | Python Packages |
| Source | N/A |
Bagcat Across Platforms
Same developer/company in other registries:
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Safety Guide: Bagcat
What is Bagcat?
Bagcat is a Python package — A command line utility for managing BagIt packages in Amazon S3.
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=bagcat
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Bagcat has a Nerq Trust Score of 52/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Bagcat has a Trust Score of 52/100 (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.