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 decreasing Y-O-Y commits -
...
took an estimated 126 years of effort (COCOMO model)
starting with its first commit in July, 2009
ending with its most recent commit 1 day 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
-
...
data presented on the Open Hub is available through our API
-
...
65% of companies leverage OSS to speed application development in 2016
-
...
check out hot projects on the Open Hub
30 Day SummarySep 27 2025 — Oct 27 2025
|
12 Month SummaryOct 27 2024 — Oct 27 2025
|
