Is Autoanalysis Safe?

Autoanalysis — Nerq Trust Score 48.5/100 (D grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-08-01.

Exercise caution with Autoanalysis. Autoanalysis is a Python package with a Nerq Trust Score of 48.5/100 (D), 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 Autoanalysis safe?

NO — USE WITH CAUTION — Autoanalysis has a Nerq Trust Score of 48.5/100 (D). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.

Security Analysis → Autoanalysis Privacy Report →

What is Autoanalysis's trust score?

Autoanalysis has a Nerq Trust Score of 48.5/100, earning a D 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 Autoanalysis?

Autoanalysis'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 Autoanalysis and who maintains it?

AuthorJayavardhana Reddy Kotla
CategoryPython Packages
SourceN/A

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Safety Guide: Autoanalysis

What is Autoanalysis?

Autoanalysis is a Python package — This package reads automatically the files which have the extensions(excel,csv,pdf) and perform EDA Anlaysis and produce the graphs..

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=Autoanalysis

Key Safety Concerns for Python package

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

Trust Assessment

Autoanalysis has a Nerq Trust Score of 48/100 (D) 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 Autoanalysis Safe?
Exercise caution. Autoanalysis with a Nerq Trust Score of 48.5/100 (D). Strongest signal: security (90/100). Score based on Security (90/100), Popularity (0/100).
What is Autoanalysis's trust score?
Autoanalysis: 48.5/100 (D). Score based on Security (90/100), Popularity (0/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=Autoanalysis
What are safer alternatives to Autoanalysis?
In the Python Packages category, more Python packages are being analyzed — check back soon. Autoanalysis scores 48.5/100.
Does Autoanalysis have known vulnerabilities?
Nerq checks Autoanalysis 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 Autoanalysis actively maintained?
Autoanalysis 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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