Is Bip32 Safe?
Bip32 — Nerq Trust Score 61.8/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Bip32 is a Python package with a Nerq Trust Score of 61.8/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Bip32 safe?
Trust Score Breakdown — Bip32 has a Nerq Trust Score of 61.8/100 (C+). Measured across 2 independent trust signals (as of 2026-03-21).
What is Bip32's trust score?
Bip32 has a Nerq Trust Score of 61.8/100, 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 Bip32?
Bip32's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Bip32 and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
Bip32 Across Platforms
Same developer/company in other registries:
Similar Pypi by Trust Score
Safety Guide: Bip32
What is Bip32?
Bip32 is a Python package — Minimalistic implementation of BIP32 (Bitcoin HD wallets).
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=bip32
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Bip32 has a Nerq Trust Score of 62/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Bip32 has a Trust Score of 62/100 (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.