pathway
by pathwaycomPython ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
In simple words: python-nameparser is a tool made for people who build software, for fixing messy data so it becomes useful. It is completely free and open source — its code is public on GitHub, where 720 people have bookmarked it as worth using.
💡 A real-life example: A manager opens a dashboard like this every morning and sees yesterday's sales, visitors and problems at a glance.
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.
Parse human names into title, given, middle, family, suffix, nickname and maiden name. Typed, zero-dependency, CJK-aware.
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? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library — setup usually follows the README with basic coding skills. Always confirm from the repo's README.)
The source code is released under the NOASSERTION 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: Very active · Last code update: 01 Nov 2026 · Created: 02 Apr 2014 · Open issues: 44
Official links: Official Website ↗ · Releases ↗ · Documentation (README) ↗
We never publish installation steps we have not verified — the README above is the source of truth.
⭐ 720 stars · 🍴 118 forks · 🐛 44 open issues · 💻 Language: Python · 📄 License: NOASSERTION · Default branch: master
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
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