A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.
Data Science GitHub Repositories (2026) · Open Source Tools
Discover the best Data Science open source repositories on GitHub. Explore trending tools, live star counts, source code, and developer projects updated daily.
scikit-learn: machine learning in Python
Streamlit — A faster way to build and share data apps.
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.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Statsmodels: statistical modeling and econometrics in Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
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.
An orchestration platform for the development, production, and observation of data assets.
Deep Learning for humans
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Refine high-quality datasets and visual AI models
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..
Bindings and ADO.NET Provider for DuckDB