---
id: agate
version: "1.14.2"
license: MIT
license_treatment: permissive
maintenance: active
---

# agate — A data analysis library that is optimized for humans instead of machines.

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install agate
uv add agate
poetry add agate

## Description

.. image:: https://github.com/wireservice/agate/workflows/CI/badge.svg
    :target: https://github.com/wireservice/agate/actions
    :alt: Build status

.. image:: https://codecov.io/github/wireservice/agate/graph/badge.svg
    :target: https://codecov.io/github/wireservice/agate
    :alt: Coverage status

.. image:: https://img.shields.io/pypi/dm/agate.svg
    :target: https://pypi.python.org/pypi/agate
    :alt: PyPI downloads

.. image:: https://img.shields.io/pypi/v/agate.svg
    :target: https://pypi.python.org/pypi/agate
    :alt: Version

.. image:: https://img.shields.io/pypi/l/agate.svg
    :target: https://pypi.python.org/pypi/agate
    :alt: License

.. image:: https://img.shields.io/pypi/pyversions/agate.svg
    :target: https://pypi.python.org/pypi/agate
    :alt: Support Python versions

agate is a Python data analysis library that is optimized for humans instead of machines. It is an alternative to numpy and pandas that solves real-world problems with readable code.

agate was previously known as journalism.

Important links:

* Documentation:    https://agate.rtfd.org
* Repository:       https://github.com/wireservice/agate
* Issues:...

## AI interpretation — verify before relying

agate is a Python data analysis library designed for readable, human-friendly code that works with tabular data. It provides an alternative to numpy and pandas for solving real-world data problems with a focus on clarity over machine optimization.

Verdict: agate is a production-stable, actively maintained data analysis library with low install friction and permissive MIT licensing. Its focus on readable code and real-world problem-solving makes it a solid choice for developers prioritizing clarity in tabular data work, though the fact sheet does not detail its performance characteristics or feature completeness relative to alternatives.

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