pandas

Powerful data structures for data analysis, time series, and statistics

pandas Permissive 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) Active ★ 49,519 v3.0.5 released 2026-07-22

Install

pandas on PyPI

pip

pip install pandas

uv

uv add pandas

poetry

poetry add pandas

Package facts

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) (permissive)
Python support	supports the current Python release (>=3.11)
Install friction	medium — platform-specific wheel
Runtime dependencies	3 — numpy, python-dateutil, tzdata
Maintenance	actively maintained — 22 days since the last release
Last repo commit	2026-08-13
First released	2009-12-25
Popularity	one of the 100 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: pandas-3.0.5-cp311-cp311-macosx_10_9_x86_64.whl; pandas-3.0.5-cp311-cp311-macosx_11_0_arm64.whl; pandas-3.0.5-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; pandas-3.0.5-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; pandas-3.0.5-cp311-cp311-musllinux_1_2_aarch64.whl; pandas-3.0.5-cp311-cp311-musllinux_1_2_x86_64.whl; pandas-3.0.5-cp311-cp311-win_amd64.whl; pandas-3.0.5-cp311-cp311-win_arm64.whl; pandas-3.0.5-cp312-cp312-macosx_10_13_x86_64.whl; pandas-3.0.5-cp312-cp312-macosx_11_0_arm64.whl; pandas-3.0.5-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; pandas-3.0.5-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; pandas-3.0.5-cp312-cp312-musllinux_1_2_aarch64.whl; pandas-3.0.5-cp312-cp312-musllinux_1_2_x86_64.whl; pandas-3.0.5-cp312-cp312-pyemscripten_2024_0_wasm32.whl; pandas-3.0.5-cp312-cp312-win_amd64.whl; pandas-3.0.5-cp312-cp312-win_arm64.whl; pandas-3.0.5-cp313-cp313-macosx_10_13_x86_64.whl; pandas-3.0.5-cp313-cp313-macosx_11_0_arm64.whl; pandas-3.0.5-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: Science/ResearchLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: CythonProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering

About pandas

from the package's own PyPI description — quoted content, verbatim

pandas: A Powerful Python Data Analysis Toolkit


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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

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.

Medium install friction with pre-built wheels for Python 3.11–3.14 across macOS, Linux, and Windows. Three lightweight runtime dependencies (numpy, python-dateutil, tzdata) are well-maintained. Active maintenance with a release 22 days old.

BSD 3-Clause primary license is permissive and commercial-friendly. Includes bundled code under Apache 2.0, MIT, and other permissive licenses; no GPL or copyleft obligations.

Usage

pip install pandas
import pandas as pd
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
print(df.groupby('A').sum())

Requires Python ≥3.11; numpy, python-dateutil, and tzdata (Windows/Emscripten only) must be installed.

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.

Needs verification

Community adoption scale and ecosystem maturity relative to alternatives.
Performance characteristics or memory overhead for very large datasets.
Backward compatibility guarantees or deprecation policy for version 3.x upgrades from 2.x codebases.

data analysis pythondataframe manipulationtime series analysisdata cleaning and transformationcsv excel data loadinggroupby aggregationmissing data handling