Is Buttonwood Safe?
Buttonwood — Nerq Trust Score 59.8/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Buttonwood is a Python package with a Nerq Trust Score of 59.8/100 (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 Buttonwood safe?
Trust Score Breakdown — Buttonwood has a Nerq Trust Score of 59.8/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is Buttonwood's trust score?
Buttonwood has a Nerq Trust Score of 59.8/100, 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 Buttonwood?
Buttonwood's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Buttonwood and who maintains it?
| Author | Peter F. Nabicht |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Buttonwood
What is Buttonwood?
Buttonwood is a Python package — Buttonwood is a python software package created to help quickly create, (re)build, or analyze markets, market structures, and market participants..
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=buttonwood
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Buttonwood has a Nerq Trust Score of 60/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Buttonwood has a Trust Score of 60/100 (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.