“data-science”

Unified framework for scaling AI and Python applications

Pandas-ai: Conversational data analysis using LLMs and RAG

Code for Machine Learning for Trading, 3rd edition

Automating high-value generic R&D processes with AI

Evidently is an open-source ML and LLM observability framework.

Data processing for and with foundation models

One AI Platform From Pipelines to Agents

Apache Hamilton helps define testable, modular, self-documenting dataflows.

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Unified multimodal backend for AI data apps