Is Chunkr Ai Safe?
Chunkr Ai — Nerq Trust Score 77.0/100 (B+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-09.
Yes, Chunkr Ai is safe to use. Chunkr Ai is a Python package with a Nerq Trust Score of 77.0/100 (B+), based on 3 independent data dimensions. Recommended for production use. Security: 90/100. Popularity: 75/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Chunkr Ai safe?
YES — Chunkr Ai has a Nerq Trust Score of 77.0/100 (B+). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.
What is Chunkr Ai's trust score?
Chunkr Ai has a Nerq Trust Score of 77.0/100, 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 Chunkr Ai?
Chunkr Ai's strongest signal is security at 90/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Chunkr Ai and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Safety Guide: Chunkr Ai
What is Chunkr Ai?
Chunkr Ai is a Python package — Python client for Chunkr: open source document intelligence.
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=chunkr-ai
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Chunkr Ai has a Nerq Trust Score of 77/100 (B+) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Chunkr Ai has a Trust Score of 77/100 (B+).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 100/100 |
| Popularity | 75/100 |
| Quality | 65/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Chunkr Ai collect?
Privacy assessment for Chunkr Ai is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Chunkr Ai secure?
Security score: 90/100. Chunkr Ai has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT License Copyright (c) 2025 Lumina AI INC Permission is hereby granted, free of charge, to any , allowing code inspection. 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: Chunkr Ai Security Report
How we calculated this score
Chunkr Ai's trust score of 77.0/100 (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 (75/100), quality (65/100), 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 09, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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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.