A fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.

Comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more.

A Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration.

The next-gen open-source Python application builder.

A pandas extension to detect, analyze and clean errors in datasets with different types of data (numerical, categorical, text, datetimes...).

An end-to-end machine learning platform.

A comprehensive library for creating static, animated, and interactive visualizations in Python.

A Python package for unsupervised / rule-based time series anomaly detection.

An open-source app framework for Machine Learning and Data Science teams. Create beautiful web apps in minutes.

An optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.

Plotly's Python graphing library makes interactive, publication-quality graphs.

A Python library which aims to make machine learning interpretable and understandable by everyone.

An open source machine learning framework that accelerates the path from research prototyping to production deployment.

Hugging Face is a large open-source community that quickly became an enticing hub for pre-trained deep learning models, mainly aimed at NLP.

A flexible open-source Python library for parallel computing.

A standard API for reinforcement learning.

A gradient boosting framework that uses tree based learning algorithms.

An open-source Python framework for creating reproducible, maintainable and modular data-science code.

An open-source library for reinforcement learning (RL), offering support for production-level, highly distributed RL workloads.

A Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

A Python package that generates fake data for you.

A forecasting procedure implemented in R and Python. It is fast and provides completely automated forecasts that can be tuned by hand.

A modern, fast (high-performance), web framework for building APIs with Python.

Machine learning in Python.