Is Boolean.Py Safe?
Boolean.Py — Nerq Trust Score 59.1/100 (C grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-04-01.
Use Boolean.Py with some caution. Boolean.Py is a Python package with a Nerq Trust Score of 59.1/100 (C), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 80/100. Popularity: 80/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Machine-readable data (JSON).
Is Boolean.Py safe?
CAUTION — Boolean.Py has a Nerq Trust Score of 59.1/100 (C). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Boolean.Py's trust score?
Boolean.Py has a Nerq Trust Score of 59.1/100, 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 Boolean.Py?
Boolean.Py's strongest signal is security at 80/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Boolean.Py and who maintains it?
| Author | Sebastian Kraemer |
| Category | pypi |
| Source | N/A |
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Safety Guide: Boolean.Py
What is Boolean.Py?
Boolean.Py is a Python package — Define boolean algebras, create and parse boolean expressions and create custom boolean DSL..
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=boolean.py
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Boolean.Py has a Nerq Trust Score of 59/100 (C) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Boolean.Py has a Trust Score of 59/100 (C).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 80/100 |
| Privacy | 80/100 |
| Reliability | 90/100 |
| Transparency | 85/100 |
| Maintenance | 60/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Boolean.Py collect?
Boolean.Py is a Python package maintained by Sebastian Kraemer. It receives approximately 3,992,491 weekly downloads. Licensed under BSD-2-Clause.
As a development package, Boolean.Py does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Full analysis: Boolean.Py Privacy Report · Privacy review
Is Boolean.Py secure?
Security score: 80/100. Boolean.Py has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under BSD-2-Clause, allowing code inspection. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Boolean.Py Security Report
How we calculated this score
Boolean.Py's trust score of 59.1/100 (C) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (80/100), privacy (80/100), reliability (90/100), transparency (85/100), maintenance (60/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on April 01, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.