Top DATA-SCIENCE GitHub Repositories & Tools (2026)

scikit-learn: machine learning in Python

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

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

An orchestration platform for the development, production, and observation of data assets.

Refine high-quality datasets and visual AI models

Apache Superset is a Data Visualization and Data Exploration Platform

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes

cuDF - GPU DataFrame Library

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

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

Machine learning with dataframes

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift

Bindings and ADO.NET Provider for DuckDB

Resumable Polymarket indexer: CLOB market metadata plus on-chain trades from Polygon, in one DuckDB file you can query with SQL

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!