Project Summary
pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language.
pandas is well suited for many different kinds of data:
* Tabular data, as in an SQL table or Excel spreadsheet
* Ordered and unordered (not necessarily fixed-frequency) time series data
* Matrix data, potentially with row and column labels
* Any other form of common structured data
In a Nutshell, python pandas...
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has a well established, mature codebase
maintained by a very large development team
with increasing Y-O-Y commits -
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took an estimated 130 years of effort (COCOMO model)
starting with its first commit in July, 2009
ending with its most recent commit 2 days ago
Quick Reference
BSD 3-clause "New" or "Revised" License
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Commercial Use
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These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
Project Vulnerability Report
Security Confidence Index
Vulnerability Exposure Index
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30 Day SummaryMay 18 2026 — Jun 17 2026
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12 Month SummaryJun 17 2025 — Jun 17 2026
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