pathway
by pathwaycomPython ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
In simple words: pandas-videos is a free tool, for fixing messy data so it becomes useful. It is completely free and open source — its code is public on GitHub, where 2,266 people have bookmarked it as worth using.
💡 A real-life example: A shop's messy sales spreadsheet goes into a tool like this, and comes out as one clear chart showing which product actually makes money.
RepoEasy wrote this simple explanation from the project's public data — its category, topics and description — so a beginner can understand it before downloading anything. For exact technical details, the project's own README (linked below) is the final word.
Jupyter notebook and datasets from the pandas video series
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.)
No license was detected on GitHub for this repository. The code is publicly visible, but you should not assume it is free to use commercially — contact the owner or check the repository for license terms first.
Activity level: Quiet · Last code update: 05 Mar 2024 · Created: 31 Mar 2016 · Open issues: 0
Official links: Official Website ↗ · Releases ↗ · Documentation (README) ↗
We never publish installation steps we have not verified — the README above is the source of truth.
⭐ 2266 stars · 🍴 1915 forks · 🐛 0 open issues · 💻 Language: Jupyter Notebook · 📄 License: None detected · 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
A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.