Is Python Levenshtein Wheels Safe?
Python Levenshtein Wheels — Nerq Trust Score 59.2/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Python Levenshtein Wheels is a Python package with a Nerq Trust Score of 59.2/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-07-22 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).
Is Python Levenshtein Wheels safe?
Trust Score Breakdown — Python Levenshtein Wheels has a Nerq Trust Score of 59.2/100 (C). Measured across 2 independent trust signals (as of 2026-07-22).
What is Python Levenshtein Wheels's trust score?
Python Levenshtein Wheels has a Nerq Trust Score of 59.2/100, 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 Python Levenshtein Wheels?
Python Levenshtein Wheels's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Python Levenshtein Wheels and who maintains it?
| Author | Antti Haapala |
| Category | Python Packages |
| Source | N/A |
Similar Pypi by Trust Score
Compare
Safety Guide: Python Levenshtein Wheels
What is Python Levenshtein Wheels?
Python Levenshtein Wheels is a Python package — Python extension for computing string edit distances and similarities..
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=python-levenshtein-wheels
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Python Levenshtein Wheels has a Nerq Trust Score of 59/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Python Levenshtein Wheels has a Trust Score of 59/100 (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 Python Levenshtein Wheels Safe?
What is Python Levenshtein Wheels's trust score?
What are safer alternatives to Python Levenshtein Wheels?
Does Python Levenshtein Wheels have known vulnerabilities?
Is Python Levenshtein Wheels 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.