Is Check In Safe?
Check In — Nerq Trust Score 57.0/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Check In is a Python package with a Nerq Trust Score of 57.0/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-20 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 Check In safe?
Trust Score Breakdown — Check In has a Nerq Trust Score of 57.0/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is Check In's trust score?
Check In has a Nerq Trust Score of 57.0/100, earning a C grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Check In?
Check In's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Check In and who maintains it?
| Author | Sviatoslav Sydorenko |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Check In
What is Check In?
Check In is a Python package — CLI for publishing check runs info via GitHub Checks API.
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=check-in
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Check In has a Nerq Trust Score of 57/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Check In has a Trust Score of 57/100 (C).
- 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.