data-processing

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

Incremental engine for long horizon agents 🌟 Star if you like it!

A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

Unified querying, transformation, and modification of JSON, TOML, YAML, XML, INI, HCL, KDL and CSV.

Easy Data Preparation with latest LLMs-based Operators and Pipelines.

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.

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

A lightweight data processing framework built on DuckDB and 3FS.

A light-weight, flexible, and expressive statistical data testing library

Kubernetes-native platform to run massively parallel data/streaming jobs

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

Concurrent and multi-stage data ingestion and data processing with Elixir

Large-scale pretraining for dialogue

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Python Stream Processing

Scalable data pre processing and curation toolkit for LLMs

Extract Transform Load for Python 3.5+

Data and tools for generating and inspecting OLMo pre-training data.