pathway
by pathwaycomPython ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.
This is the project's own description from GitHub — we show it as-is rather than inventing details.
This project is listed under Data Cleaning in Data & Analytics, a category made for analysts, businesses, researchers and data-curious users.
Do I need coding knowledge? Basic Technical Setup. (Estimate based on project type: Learning/resource-style project or tagged for learners on GitHub. Always confirm from the repo's README.)
The source code is released under the MIT license. Open-source licenses like this usually allow free use, including commercial use — but always read the actual license file in the repository before relying on it. Note: the code being free does not mean hosted services, APIs or infrastructure around it are free.
Activity level: Active · Last code update: 22 Sep 2026 · Created: 14 Jun 2016 · Open issues: 6
Official links: Official Website ↗ · Releases ↗ · Documentation (README) ↗
We never publish installation steps we have not verified — the README above is the source of truth.
⭐ 10798 stars · 🍴 646 forks · 🐛 6 open issues · 💻 Language: — · 📄 License: MIT · Default branch: master
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…
Incremental engine for long horizon agents 🌟 Star if you like it!
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Refine high-quality datasets and visual AI models
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON