Is Httplib2Shim Safe?
Httplib2Shim — Nerq Trust Score 62.2/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Httplib2Shim is a Python package with a Nerq Trust Score of 62.2/100 (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 Httplib2Shim safe?
Trust Score Breakdown — Httplib2Shim has a Nerq Trust Score of 62.2/100 (C+). Measured across 2 independent trust signals (as of 2026-07-22).
What is Httplib2Shim's trust score?
Httplib2Shim has a Nerq Trust Score of 62.2/100, 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 Httplib2Shim?
Httplib2Shim's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Httplib2Shim and who maintains it?
| Author | Jon Wayne Parrott |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Httplib2Shim
What is Httplib2Shim?
Httplib2Shim is a Python package — A wrapper over urllib3 that matches httplib2's interface.
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=httplib2shim
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Httplib2Shim has a Nerq Trust Score of 62/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Httplib2Shim has a Trust Score of 62/100 (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.
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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.