Is Calplot Safe?
Calplot — Nerq Trust Score 63.5/100 (C+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-04-03.
Use Calplot with some caution. Calplot is a Python package with a Nerq Trust Score of 63.5/100 (C+), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-03. Machine-readable data (JSON).
Is Calplot safe?
CAUTION — Calplot has a Nerq Trust Score of 63.5/100 (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 Calplot's trust score?
Calplot has a Nerq Trust Score of 63.5/100, 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 Calplot?
Calplot's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Calplot and who maintains it?
| Author | Tom Kwok |
| Category | pypi |
| Source | N/A |
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Safety Guide: Calplot
What is Calplot?
Calplot is a Python package — Calendar heatmaps from Pandas time series data.
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=calplot
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Calplot has a Nerq Trust Score of 64/100 (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
- Calplot has a Trust Score of 64/100 (C+).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
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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.