---
id: pandas
version: "3.0.5"
license: BSD 3-Clause License Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team All rights reserved. Copyright (c) 2011-2026, Open source contributors.… (full text in the JSON record)
license_treatment: permissive
maintenance: active
---

# pandas — Powerful data structures for data analysis, time series, and statistics

License: permissive · Maintenance: active · Popularity: top 100 on PyPI

## Install

pip install pandas
uv add pandas
poetry add pandas

## Description

<picture align="center">
  <source media="(prefers-color-scheme: dark)" srcset="https://pandas.pydata.org/static/img/pandas_white.svg">
  <img alt="Pandas Logo" src="https://pandas.pydata.org/static/img/pandas.svg">
</picture>

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# pandas: A Powerful Python Data Analysis Toolkit

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| --- | --- |
| Testing | [![CI - Test](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml) [![Coverage](https://codecov.io/github/pandas-dev/pandas/coverage.svg?branch=main)](https://codecov.io/gh/pandas-dev/pandas) |
| Package | [![PyPI Latest Release](https://img.shields.io/pypi/v/pandas.svg)](https://pypi.org/project/pandas/) [![PyPI Downloads](https://img.shields.io/pypi/dm/pandas.svg?label=PyPI%20downloads)](https://pypi.org/project/pandas/) [![Conda Latest Release](https://anaconda.org/conda-forge/pandas/badges/version.svg)](https://anaconda.org/conda-forge/pandas) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/pandas.svg?label=Conda%20downloads)](https://anaconda.org/conda-forge/pandas) |
| Meta | [![Powered by...

## AI interpretation — verify before relying

pandas provides fast, flexible data structures (Series and DataFrames) for loading, cleaning, transforming, and analyzing labeled or relational data, with built-in support for missing values, grouping, merging, reshaping, and time-series operations.

Verdict: pandas 3.0.5 is production-stable and actively maintained with no known vulnerabilities and permissive licensing. Medium install friction is offset by its ubiquity and strong maintenance signal. Suitable for data-science workflows.

[View on SkillFed](https://skillfed.io/packages/pandas) · [View on PyPI](https://pypi.org/project/pandas/)