#data-science

Next-generation Albumentations: dual-licensed for open-source and commercial use

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.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse

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.

Realtime Web Apps and Dashboards for Python and R

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Relax! Flux is the ML library that doesn't make you tensor

Community-driven, simple, yet powerful framework for fast, cost-effective distributed Compute over Data.

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.

PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

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

Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.

Unified multimodal backend for AI data apps

Base classes for creating scikit-learn-like parametric objects, and tools for working with them.

Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

Distributed High-Performance Symbolic Regression in Julia

Redshift Python Connector. It supports Python Database API Specification v2.0.

A collaborative learning framework for empowering biomedical research

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.

Statistical Machine Intelligence & Learning Engine

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.

Datagrunt is a Python library designed to simplify the way you work with CSV, Excel, Parquet, and PDF files. It provides a streamlined approach to reading, processing, and transforming your data into various formats, making data manipulation efficient and intuitive.

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

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