Is Autoai Libs Safe?

Autoai Libs — Nerq Trust Score 67.2/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20

Autoai Libs is a Python package with a Nerq Trust Score of 67.2/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).

Is Autoai Libs safe?

Trust Score Breakdown — Autoai Libs has a Nerq Trust Score of 67.2/100 (B-). Measured across 2 independent trust signals (as of 2026-03-20).

Security Analysis → Autoai Libs Privacy Report →

What is Autoai Libs's trust score?

Autoai Libs has a Nerq Trust Score of 67.2/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.

Security
90
Popularity
30

What are the key security findings for Autoai Libs?

Autoai Libs's strongest signal is security at 90/100. No known vulnerabilities have been detected.

✓Security score: 90/100 (strong)
⚠Popularity: 30/100 — community adoption

What is Autoai Libs and who maintains it?

AuthorIBM
CategoryPython Packages
SourceN/A

Autoai Libs Across Platforms

Same developer/company in other registries:

IBM.output-colorizer
62/100 · vscode
ibm_db
60/100 · gems
IBM.db2forzosdeveloperextension
60/100 · vscode
IBM.zopeneditor
60/100 · vscode
IBM.wca-core
57/100 · vscode

Similar Pypi by Trust Score

xgboost (77)aiofile (77)apache-beam (77)instructor (77)asana (77)
See all safest Pypi →

Compare

Autoai Libs vs xgboostAutoai Libs vs aiofileAutoai Libs vs apache-beam

Safety Guide: Autoai Libs

What is Autoai Libs?

Autoai Libs is a Python package — A library of transformers to support portable representations of AutoAI pipelines.

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=autoai-libs

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Measured Signals

Autoai Libs has a Nerq Trust Score of 67/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

Frequently Asked Questions

Is Autoai Libs Safe?
autoai-libs with a Nerq Trust Score of 67.2/100 (B-). Strongest signal: security (90/100). Score based on Security (90/100), Popularity (30/100).
What is Autoai Libs's trust score?
autoai-libs: 67.2/100 (B-). Score based on Security (90/100), Popularity (30/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=autoai-libs
What are safer alternatives to Autoai Libs?
In the Python Packages category, more Python packages are being analyzed — check back soon. autoai-libs scores 67.2/100.
Does Autoai Libs have known vulnerabilities?
Nerq checks Autoai Libs against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 90/100. Run your package manager's audit command for the latest findings.
Is Autoai Libs actively maintained?
Autoai Libs maintenance score: N/A. Check the repository for recent commit activity and issue responsiveness.
API: /v1/preflight Trust Badge API Docs

See Also

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.

We use cookies for analytics and caching. Privacy