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Pandarallel

A simple and efficient tool to parallelize Pandas operations on all available CPUs

Install / Use

/learn @nalepae/Pandarallel
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Pandaral·lel

PyPI version fury.io PyPI license PyPI download month

| Without parallelization | Without Pandarallel | | :----------------------: | ----------------------------------------------------------------------------------------------------------------- | | With parallelization | With Pandarallel |

Pandaral.lel provides a simple way to parallelize your pandas operations on all your CPUs by changing only one line of code. It also displays progress bars.

⚠️ Pandaral·lel is looking for a maintainer! ⚠️

If you are interested, please contact me or open a GitHub issue.

Maintainers

Former maintainers (thanks a lot for your work!)

Installation

pip install pandarallel [--upgrade] [--user]

Quickstart

from pandarallel import pandarallel

pandarallel.initialize(progress_bar=True)

# df.apply(func)
df.parallel_apply(func)

Usage

Be sure to check out the documentation.

Examples

An example of each available pandas API is available:

View on GitHub
GitHub Stars3.8k
CategoryDevelopment
Updated16h ago
Forks211

Languages

Python

Security Score

100/100

Audited on Mar 29, 2026

No findings