cuDF - GPU DataFrame Library

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.

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Shōgun

C++ DataFrame for statistical, financial, and ML analysis in modern C++

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

The Universal Storage Engine

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.

Epsilla is a high performance Vector Database Management System

Tree-Boosting, Gaussian Processes, and Mixed-Effects Models

Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.

oneAPI Data Analytics Library (oneDAL)

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.

LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.

A Lean Persistent Homology Library for Python

A visualisation tool for the creation and analysis of graphs

Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.