Is Bld Safe?
Bld — Nerq Trust Score 54.0/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Bld is a Python package with a Nerq Trust Score of 54.0/100 (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 Bld safe?
Trust Score Breakdown — Bld has a Nerq Trust Score of 54.0/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Bld's trust score?
Bld has a Nerq Trust Score of 54.0/100, 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 Bld?
Bld's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Bld and who maintains it?
| Author | Olivier Sechet |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Safety Guide: Bld
What is Bld?
Bld is a Python package — Bld project build helper.
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=bld
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Bld has a Nerq Trust Score of 54/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Bld has a Trust Score of 54/100 (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
Is Bld Safe?
What is Bld's trust score?
What are safer alternatives to Bld?
Does Bld have known vulnerabilities?
Is Bld actively maintained?
Popular in Python Packages
Browse Categories
See Also
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.