What is pandas?
pandas is a other that Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more. It has a Nerq Trust Score of 62/100 (C). 47.9K GitHub stars. Published by Unknown. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ✅ Community: 47.9K stars, 0 downloads — Large community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What pandas Does
pandas is a tool in the other category. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more. It is published by an independent developer and has no specified license. With 47.9K GitHub stars and 0 downloads, it has a large and active community of users and contributors.
Who Should Use pandas
pandas is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Unknown |
|---|---|
| Category | other |
| License | Not specified |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=pandas-dev-pandas
Setup guide · Full safety report · Production review · Is it safe?
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Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.