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Statsmodels: statistical modeling and econometrics in Python

Modin: Scale your Pandas workflows by changing a single line of code

Fast and Accurate ML in 3 Lines of Code

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

A unified framework for machine learning with time series

cuDF - GPU DataFrame Library

Deep learning library featuring a higher-level API for TensorFlow.

A python library for user-friendly forecasting and anomaly detection on time series.

Automatic extraction of relevant features from time series:

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

🧙 Build, run, and manage data pipelines for integrating and transforming data.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

An open source python library for automated feature engineering

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

The Open Source Feature Store for AI/ML

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

Business intelligence as code: build fast, interactive data visualizations in SQL and markdown

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

A system for quickly generating training data with weak supervision

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

Simple and Distributed Machine Learning