Is Api Testing Toolkit Safe?
Api Testing Toolkit — Nerq Trust Score 53.8/100 (C- grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-05-13.
Use Api Testing Toolkit with some caution. Api Testing Toolkit is a Python package with a Nerq Trust Score of 53.8/100 (C-), based on 3 independent data dimensions. Below the recommended threshold of 70. 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 Api Testing Toolkit safe?
CAUTION — Api Testing Toolkit has a Nerq Trust Score of 53.8/100 (C-). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Api Testing Toolkit's trust score?
Api Testing Toolkit has a Nerq Trust Score of 53.8/100, 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 Api Testing Toolkit?
Api Testing Toolkit's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Api Testing Toolkit and who maintains it?
| Author | Tom |
| Category | Python Packages |
| Source | N/A |
Api Testing Toolkit Across Platforms
Same developer/company in other registries:
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Safety Guide: Api Testing Toolkit
What is Api Testing Toolkit?
Api Testing Toolkit is a Python package — A set of functions to facilitate API testing with jupyter lab..
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=api-testing-toolkit
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Api Testing Toolkit has a Nerq Trust Score of 54/100 (C-) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Api Testing Toolkit has a Trust Score of 54/100 (C-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 63/100 |
| Popularity | 15/100 |
| 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 Api Testing Toolkit collect?
Privacy assessment for Api Testing Toolkit is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Api Testing Toolkit secure?
Security score: 90/100. Api Testing Toolkit 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: Api Testing Toolkit Security Report
Api Testing Toolkit Across Platforms
Same developer/company in other registries:
How we calculated this score
Api Testing Toolkit's trust score of 53.8/100 (C-) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (63/100), popularity (15/100), 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.
This page was last reviewed on May 13, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.