Is Alibabacloud Tea Py2 Safe?
Alibabacloud Tea Py2 — Nerq Trust Score 54.5/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Alibabacloud Tea Py2 is a Python package with a Nerq Trust Score of 54.5/100 (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 Alibabacloud Tea Py2 safe?
Trust Score Breakdown — Alibabacloud Tea Py2 has a Nerq Trust Score of 54.5/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Alibabacloud Tea Py2's trust score?
Alibabacloud Tea Py2 has a Nerq Trust Score of 54.5/100, 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 Alibabacloud Tea Py2?
Alibabacloud Tea Py2's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Alibabacloud Tea Py2 and who maintains it?
| Author | Alibaba Cloud |
| Category | Python Packages |
| Source | N/A |
Alibabacloud Tea Py2 Across Platforms
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Safety Guide: Alibabacloud Tea Py2
What is Alibabacloud Tea Py2?
Alibabacloud Tea Py2 is a Python package — The tea module of alibabaCloud Python2 SDK..
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=alibabacloud-tea-py2
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Alibabacloud Tea Py2 has a Nerq Trust Score of 54/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Alibabacloud Tea Py2 has a Trust Score of 54/100 (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.