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...
- ...
- ...
-
...
has a well established, mature codebase
maintained by a very large development team
with increasing Y-O-Y commits -
...
took an estimated 130 years of effort (COCOMO model)
starting with its first commit in July, 2009
ending with its most recent commit 3 days ago
Quick Reference
BSD 3-clause "New" or "Revised" License
Permitted
Commercial Use
Modify
Distribute
Place Warranty
Forbidden
Hold Liable
Use Trademarks
Required
Include Copyright
Include License
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
Did You Know...
-
...
there are over 3,000 projects on the Open Hub with security vulnerabilities reported against them
-
...
by exploring contributors within projects, you can view details on every commit they have made to that project
-
...
nearly 1 in 3 companies have no process for identifying, tracking, or remediating known open source vulnerabilities
-
...
compare projects before you chose one to use
30 Day SummaryMay 18 2026 — Jun 17 2026
|
12 Month SummaryJun 17 2025 — Jun 17 2026
|
