Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Data processing for and with foundation models! π π π½ β‘οΈ β‘οΈπΈ πΉ π·
A light-weight, flexible, and expressive statistical data testing library
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
Python Stream Processing
Scalable data pre processing and curation toolkit for LLMs
Optimized Agentic and LLM Bulk Processing Over Your Data
Python Streaming DataFrames for Kafka
Tangle is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.