Is Chatlite Safe?
Chatlite — Nerq Trust Score 65.8/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Chatlite is a Python package (ai powered chatapp for browsing and search) with a Nerq Trust Score of 65.8/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 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 Chatlite safe?
Trust Score Breakdown — Chatlite has a Nerq Trust Score of 65.8/100 (B-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Chatlite's trust score?
Chatlite 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.
What are the key security findings for Chatlite?
Chatlite's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Chatlite and who maintains it?
| Author | Kammari Santhosh |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Chatlite
What is Chatlite?
Chatlite is a Python package — ai powered chatapp for browsing and search.
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=chatlite
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Chatlite has a Nerq Trust Score of 66/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Chatlite has a Trust Score of 66/100 (B-).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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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.