Is Chippy Safe?
Chippy — Nerq Trust Score 55.8/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Chippy is a Python package with a Nerq Trust Score of 55.8/100 (C), 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 Chippy safe?
Trust Score Breakdown — Chippy has a Nerq Trust Score of 55.8/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is Chippy's trust score?
Chippy has a Nerq Trust Score of 55.8/100, 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 Chippy?
Chippy's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Chippy and who maintains it?
| Author | Benjamin Moran |
| Category | Python Packages |
| Source | N/A |
Chippy Across Platforms
Same developer/company in other registries:
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Safety Guide: Chippy
What is Chippy?
Chippy is a Python package — A pure Python module for creating various chiptune style waveforms.
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=chippy
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Chippy has a Nerq Trust Score of 56/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Chippy has a Trust Score of 56/100 (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.