← All projects

Data science tools

Tools for analysing data and making predictions from tables of numbers, used by data scientists and analysts.

25 projects, highest rated first.

Data science tools

scikit-learn

A widely used Python toolkit for teaching computers to spot patterns and make predictions from data.

Widely used
by scikit-learn4.5
Data science tools

XGBoost

A fast, widely used tool for making predictions from tables of data.

Research-backed
by Distributed (Deep) Machine Learning Community3.5
Data science tools

SHAP

Explains why an AI model made a particular prediction by showing how much each input pushed the result.

Widely used
by shap3.5
Data science tools

CatBoost

A machine learning library for making predictions and rankings from table-style data.

Research-backedNew this week
by CatBoost3.5
Data science tools

Cube Core

Defines a company's business numbers once, so reports, apps and AI agents all use the same figures.

New this week
by Cube3.5
Data science tools

LightGBM

A fast machine-learning tool for making predictions from tables of data, popular in data competitions.

by lightgbm-org3.5
Data science tools

marimo

A Python notebook for data work that keeps results up to date automatically and has AI help built in.

by marimo3.5
Data science tools

Chat2DB

A free desktop app for working with databases, with an AI helper that writes and explains database queries.

by OtterMind3.0
Data science tools

Vowpal Wabbit

A fast machine learning system that can learn from huge amounts of data without loading it all at once.

New this week
by Vowpal Wabbit3.0
Data science tools

Kedro

A Python toolbox that helps data teams build tidy, repeatable data and machine-learning pipelines.

New this week
by Kedro3.0
Data science tools

mlpack

A fast C++ machine learning library, also usable from Python, R, Julia, Go and the command line.

New this week
by mlpack3.0
Data science tools

PyOD

A Python toolkit for spotting unusual data points, such as possible fraud or faulty readings.

Research-backedNew this week
by Yue Zhao2.5
Data science tools

NVIDIA cuML

Speeds up common machine-learning tasks by running them on NVIDIA graphics cards.

Research-backedNew this week
by NVIDIA Corporation2.5
Data science tools

R&D-Agent

An AI agent that automates data science and machine-learning research: forming ideas, coding and testing them.

Research-backed
by Microsoft2.5
Data science tools

H2O

An open-source platform for building machine-learning models on large amounts of data.

New this week
by H2O.ai2.5
Data science tools

mlxtend

A Python library of handy extra tools for everyday machine-learning and data science work.

New this week
by Sebastian Raschka2.5
Data science tools

PyCaret

A self-hosted platform for building prediction models from your data with point-and-click screens.

New this week
by PyCaret2.5
Data science tools

AutoGluon

Builds accurate prediction models from your spreadsheet-style or time-based data with just a few lines of code.

Research-backedNew this week
by autogluon2.5
Data science tools

SMILE

A broad machine learning toolkit for Java, Scala and Kotlin programs.

New this week
by Haifeng Li2.5
Data science tools

DoWhy

A Python library for working out cause and effect in data, not just patterns.

New this week
by PyWhy2.0
Data science tools

imbalanced-learn

A Python library that helps machine learning models cope when one kind of example is much rarer than others.

Widely usedNew this week
by scikit-learn-contrib2.0
Data science tools

Orange

A visual app for exploring data and building machine-learning models by connecting blocks, without coding.

New this week
by Bioinformatics Laboratory2.0
Data science tools

JimuReport

A reporting and dashboard tool where you can describe the report you want and AI builds it.

New this week
by JEECG官方开源2.0
Data science tools

Featuretools

Automatically creates useful data columns for machine-learning models from linked tables.

New this week
by alteryx2.0
Data science tools

AI Data Science Team

AI agents that help with common data science work, plus an app for building visual data pipelines.

New this week
by Business Science1.0