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pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

View on GitHub Official site
Data Utilities BSD-3-Clause Easy setup 49,286 stars

Overview

Description

pandas is the must-have toolkit for anyone who works with data in Python. It lets you clean, transform, merge, and analyze datasets from spreadsheets, databases, and flat files — fast and without boilerplate code. The bottom line: if you need to make sense of tabular data, pandas saves you hours of manual work.

Technical scorecard

License

BSD-3-Clause

Commercial use

Yes

OpenAI-compatible API

No

REST API

No

Fine-tuning support

No

Quantization support

No

Docker available

No

GUI / no-code available

No

Telemetry

Unknown

Offline after setup

No

Data & Privacy

Does it send data online?

This listing is not marked offline after setup.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

Unknown

Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

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Setup & Installation

Easy

A developer can usually get this running with standard docs.

# Start with the official project repository
# https://github.com/pandas-dev/pandas

Hardware Requirements

Hardware tagsNot specified
LanguagesPython

Works Well With