A curated list of awesome Machine Learning frameworks, libraries and software.

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⚡ A Fast, Extensible Progress Bar for Python and CLI

Typer, build great CLIs. Easy to code. Based on Python type hints.

🦉 Data Versioning and ML Experiments

Install and Run Python Applications in Isolated Environments

Always know what to expect from your data.

Bandit is a tool designed to find common security issues in Python code.

Mimesis is a fast Python library for generating fake data in multiple languages.

A light-weight, flexible, and expressive statistical data testing library

N-D labeled arrays and datasets in Python

Synthetic data generation for tabular data

This is the development home of the workflow management system Snakemake. For general information, see

Survival analysis in Python

Single-cell analysis in Python. Scales to >100M cells.

A 21 century R console

Feature engineering and selection open-source Python library compatible with sklearn.

Inspect: A framework for large language model evaluations

Track emissions from Compute and recommend ways to reduce their impact on the environment.

Machine learning with dataframes

pytest fixture for benchmarking code

Enhanced cookiecutter template for Python libraries.

Format and convert Python docstrings and generates patches

Approximate Nearest Neighbor Search for Sparse Data in Python!

View colored, incremental diff in workspace or from stdin, side by side and auto paged.

Python package for building, comparing, annotating, manipulating and visualising trees. It provides a comprehensive API and a collection of command line tools, including utilities to work with the …

Color palettes for Python

Annotated data.

The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications.

Metrics to evaluate quality and efficacy of synthetic datasets.