Data Science

Koalas implements the pandas DataFrame API on Apache Spark and is deprecated; for Apache Spark 3.2 and above, use PySpark directly.

GLM.jl provides generalized linear models in Julia, with documentation and examples for the package.

Ray provides an AI compute engine with a distributed runtime and libraries for machine learning workloads.

EcommerceTools is a Python data science toolkit for ecommerce, marketing science, and technical SEO analysis and modelling, created by Matt Clarke.

AutoGluon provides tools for automated machine learning and model development.

Learnbin Lab brings together STEM learning resources, tools, scientific datasets and research visuals for students and professionals.

The Featuretools Python library supports automated feature engineering and is published as open source.

Data Scientists offers learning material on core concepts for data analysts, scientists, engineers, and other data practitioners.

OSSU Data Science provides a free study path based on an undergraduate data science curriculum.

jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.

DVC tracks data versions and machine learning experiments for collaborative development.

Epsilla provides a vector database that uses parallel graph computing for search workloads.

For machine learning pipelines, Upgini searches and enriches data with features from public and commercial sources.

FlexML offers an easy to use and flexible automated machine learning library for Python.

Virgilio organizes data science e-learning resources in a structured project overview.

Optimus supports agile data preparation workflows across Pandas, Dask, cuDF, Vaex, and PySpark.

University of Virginia School of Data Science advances data science and AI through interdisciplinary research, education, and collaboration.

Weights & Biases supports model training, fine tuning, and management from experimentation through production.

ZenML provides a platform for machine learning pipelines and AI agents.

An AI-first alternative to Jupyter, Deepnote supports Python, R, and SQL, with local IDE use, cloud collaboration, and data apps.

A Julia package for probability distributions and associated functions.

Apache Hamilton helps teams build modular, testable dataflows with lineage and metadata.

The MLJ project provides machine learning tools and a framework for Julia.

Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.