Is Xlrd3 Safe?
Xlrd3 — Nerq Trust Score 61.2/100 (C+ grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-07-30.
Use Xlrd3 with some caution. Xlrd3 is a Python package with a Nerq Trust Score of 61.2/100 (C+), based on 3 independent data dimensions. Below the recommended threshold of 70. 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 Xlrd3 safe?
CAUTION — Xlrd3 has a Nerq Trust Score of 61.2/100 (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 Xlrd3's trust score?
Xlrd3 has a Nerq Trust Score of 61.2/100, 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 Xlrd3?
Xlrd3'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 Xlrd3 and who maintains it?
| Author | John Machin |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Xlrd3
What is Xlrd3?
Xlrd3 is a Python package — Library for developers to extract data from Microsoft Excel (tm) spreadsheet files.
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=xlrd3
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Xlrd3 has a Nerq Trust Score of 61/100 (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
- Xlrd3 has a Trust Score of 61/100 (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.