Open source. Open possibilities.

FiftyOne is an open-source tool for building high-quality datasets and computer vision models. It enables users to visualize, label, evaluate, and curate visual AI data.

OpenRefine is a Java-based open-source power tool designed for cleaning, transforming, and reconciling messy data through a web browser interface.

An introductory Python training course focused on numerical computing and data visualization for business analysts and traders.

Great Expectations (GX Core) is an open-source Python library for data quality, providing a framework for creating unit tests for data to ensure consistency and reliability.

VectorBT is an open-source Python backtesting library that vectorizes strategy research: it packs thousands of parameter combinations into NumPy arrays and accelerates them with Numba and an optional Rust engine, plus portfolio analytics and interactive Plotly visualization.

Keras 3 is a multi-backend deep learning framework that allows users to build and train models using JAX, TensorFlow, PyTorch, or OpenVINO.

scikit-learn is a comprehensive Python module for machine learning, built on top of SciPy and distributed under the 3-Clause BSD license.

A data research and analysis platform that enables users to import custom datasets for visualization and analysis.

Gradio is an open-source Python library for quickly building and sharing web applications for machine learning models, APIs, or any Python function without requiring web development experience.

Evidence is an open-source, code-based alternative to drag-and-drop BI tools: build fast, interactive reports with SQL and markdown, then publish or self-host the generated static site.

Step-by-step 30-day Python programming challenge covering fundamentals through web scraping, pandas, MongoDB, and APIs, with hands-on exercises and translations in multiple languages.

XGo is a programming language that reads like plain English, integrating C/C++, Go, Python, and JavaScript/TypeScript. It simplifies Go syntax, supports classfiles for domain-specific friendliness, and includes frameworks for web, games, and DevOps.

Apache Superset is a modern, enterprise-ready business intelligence web application used for data exploration and visualization.

tsfresh is a Python package for automatic time-series feature extraction and selection, combining statistics, signal processing, and hypothesis testing to generate hundreds of relevant features for machine learning.

IPython is a powerful interactive command shell for computing in multiple programming languages, primarily Python, offering enhanced introspection and shell integration.

DVC is a command-line tool and VS Code extension for versioning data and ML models, building reproducible pipelines, and tracking experiments locally with Git.

A collection of machine learning and deep learning code examples and tutorials accompanying online courses. Covers topics from linear regression to reinforcement learning, NLP, computer vision, and generative AI.

pandas is a powerful Python library providing fast, flexible, and expressive data structures designed for working with relational or labeled data.

Dagster is a cloud-native data pipeline orchestrator designed for the development, production, and observation of data assets throughout their entire lifecycle.

Microsoft's free 12-week, 26-lesson curriculum for learning classic machine learning with Scikit-learn. Includes quizzes, hands-on projects, assignments, Python and R lessons, and multi-language translations.