Is Botocore Stubs Safe?
Botocore Stubs — Nerq Trust Score 75.8/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-04-12
Botocore Stubs is a Python package with a Nerq Trust Score of 75.8/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-04-12 Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-12. Machine-readable data (JSON).
Is Botocore Stubs safe?
Trust Score Breakdown — Botocore Stubs has a Nerq Trust Score of 75.8/100 (B+). Measured across 2 independent trust signals (as of 2026-04-12).
What is Botocore Stubs's trust score?
Botocore Stubs has a Nerq Trust Score of 75.8/100, 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 Botocore Stubs?
Botocore Stubs's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Botocore Stubs and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Botocore Stubs
What is Botocore Stubs?
Botocore Stubs is a Python package — Type annotations and code completion for botocore.
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=botocore-stubs
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Botocore Stubs has a Nerq Trust Score of 76/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Botocore Stubs has a Trust Score of 76/100 (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.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 100/100 |
| Popularity | 100/100 |
| Quality | 40/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Botocore Stubs collect?
Botocore Stubs is a Python package maintained by Unknown. It receives approximately 10,982,036 weekly downloads.
As a development package, Botocore Stubs does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Full analysis: Botocore Stubs Privacy Report · Privacy review
Is Botocore Stubs secure?
Security score: 90/100. Botocore Stubs has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
License information not available. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Botocore Stubs Security Report
How we calculated this score
Botocore Stubs's trust score of 75.8/100 (B+) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (100/100), popularity (100/100), quality (40/100), community (35/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
Signals last measured on April 12, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON 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.