Lance provides an open lakehouse format for multimodal AI, with vector indexing and data versioning.
Data Science
Websites and tools tagged “data science”.
Cleanlab provides a Python library for data quality and machine learning with messy real world data and labels.
Data School publishes lessons and articles for people building data science careers, including coverage of machine learning topics.
An open-source initiative, Virgilio guides learners through data science resources and skill development.
StrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
The Zasper project describes an IDE for working with Jupyter notebooks.
TPOT uses genetic programming to optimize machine learning pipelines in Python.
PyCaret provides a low code AutoML platform for Python, with a scikit-learn native engine and React control plane.
DeepAnalyze uses an agentic language model for autonomous data science and report generation.
Deep-ML provides hands-on exercises in machine learning and data science fundamentals.
The ChefBoost Python framework supports decision trees such as ID3, C4.5, CART, CHAID, regression trees, and ensemble methods.
Data Science Weekly Newsletter: A free weekly newsletter featuring curated news, articles and jobs related to Data Science.
H2O-3 is an open-source distributed machine learning platform with tools including deep learning, gradient boosting, and random forests.
ipychart brings Chart.js plotting capabilities to Python and notebook workflows.
The Datumbox framework is written in Java for developing machine learning and statistical applications.
PyToune provides a simplified framework and utilities for working with PyTorch.
MLRun provides an open-source MLOps platform for managing machine learning applications, pipelines, and CI/CD delivery.
FLAML provides a fast Python library for automated machine learning and tuning.
tsfresh automatically extracts relevant features from time series data.
This project profiles data quality and supports exploratory analysis of Pandas and Spark DataFrames.
Access full-text academic articles: J-STAGE is an online platform for Japanese academic journals.
Kedro helps create reproducible, maintainable, and modular data science and data engineering pipelines.
Sourcetable combines spreadsheets and data analysis tools for creating financial models and working with datasets.
Microsoft’s Data Science for Beginners is a ten-week curriculum with 20 lessons for learning data science.






















