An open-source framework for building applications and agents powered by language models, with integrations for models, tools, retrieval, databases, and agent workflows.

Documentation for NumPy, the foundational Python library for numerical computing, providing multidimensional arrays, mathematical operations, and tools for scientific programming.

An open-source platform for running and managing large language models locally, making it easier to experiment with and develop applications using local AI models.

Documentation and reference material for pandas, a Python library designed for data manipulation, cleaning, analysis, and working with structured datasets.

Documentation and learning material for Polars, a high-performance DataFrame library supporting data manipulation and analysis through Python, R, and Node.js APIs.

An open-source machine learning framework for building, training, evaluating, and deploying models across applications ranging from research to production systems.

An open-source headless browser automation CLI designed to allow AI agents to navigate websites and interact with web pages programmatically.