Is Algorithmlib Safe?

Algorithmlib — Nerq Trust Score 65.8/100 (B- grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-08-01.

Use Algorithmlib with some caution. Algorithmlib is a Python package with a Nerq Trust Score of 65.8/100 (B-), based on 3 independent data dimensions. Below the recommended threshold of 70. 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 Algorithmlib safe?

CAUTION — Algorithmlib has a Nerq Trust Score of 65.8/100 (B-). 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.

Security Analysis → Algorithmlib Privacy Report →

What is Algorithmlib's trust score?

Algorithmlib has a Nerq Trust Score of 65.8/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.

Security
90
Popularity
0

What are the key security findings for Algorithmlib?

Algorithmlib'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+.

Security score: 90/100 (strong)
Popularity: 0/100 — community adoption

What is Algorithmlib and who maintains it?

AuthorMA JIANLI
CategoryPython Packages
SourceN/A

Algorithmlib Across Platforms

Same developer/company in other registries:

AlgorithmLib
46/100 · nuget

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Safety Guide: Algorithmlib

What is Algorithmlib?

Algorithmlib is a Python package — audio algorithms to compute and test audio quality of speech enhencement.

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=AlgorithmLib

Key Safety Concerns for Python package

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

Trust Assessment

Algorithmlib has a Nerq Trust Score of 66/100 (B-) 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

Frequently Asked Questions

Is Algorithmlib Safe?
Use with some caution. AlgorithmLib with a Nerq Trust Score of 65.8/100 (B-). Strongest signal: security (90/100). Score based on Security (90/100), Popularity (0/100).
What is Algorithmlib's trust score?
AlgorithmLib: 65.8/100 (B-). Score based on Security (90/100), Popularity (0/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=AlgorithmLib
What are safer alternatives to Algorithmlib?
In the Python Packages category, more Python packages are being analyzed — check back soon. AlgorithmLib scores 65.8/100.
Does Algorithmlib have known vulnerabilities?
Nerq checks Algorithmlib 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 Algorithmlib actively maintained?
Algorithmlib 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 assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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