head to head · open source
ragflow vs humanizer
ragflow has 93,460 GitHub stars, 11,215 forks, 1,525 open issues and last shipped yesterday. humanizer has 64,488 stars, 5,085 forks, 13 open issues and last shipped 8 days ago. ragflow leads on adoption by 45% (93,460 vs 64,488 stars). ragflow is written in Go under Apache-2.0; humanizer is written in Python under MIT. ragflow has attracted 12% as many forks as stars, humanizer 8%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| ragflow | humanizer | |
|---|---|---|
| GitHub stars | ★ 93K | ★ 64K |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-11-04 | 2026-10-28 |
| Forks | ⑂ 11K | ⑂ 5.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ragflow if
- You weight community size — 93K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick humanizer if
- You want the humanizer feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and humanizer fits your workflow better
About ragflow
Cloud Documentation Roadmap Discord 📕 Table of Contents 💡 What is RAGFlow? 🎮 Get Started 🔥 Latest Updates 🌟 Key Features 🔎 System Architecture 🎬 Self Hosting 🔧 Configurations 🔧 Build a Docker Image 🔨 Launch Service from Source for Development 📚 Documentation 📜 Roadmap 🏄 Community 🙌 Contributing 💡 What is RAGFlow? RAGFlow is a leading open source Retrieval Augmented Generation (RAG) engine that fuses cutting edge RAG with Agent capabilities to create a superior context layer for LLMs. It offers a streamlined RAG workflow adaptable to enterprises of any scale. Powered by a converged context engine…
read the full ragflow overview →
About humanizer
Humanizer Humanizer rewrites AI sounding text so it reads like a person wrote it, without changing what it says. Because it is just Markdown, it works with any agent that supports skills. Installation Install Humanizer with the Skills CLI: Leave off global to install Humanizer only in the current project. Add agent or agent ' ' to choose which agents receive it, then reload their skills. The skill answers to /humanizer . Claude Code 2.1.142 or newer can install the plugin instead: The plugin answers to /humanizer:humanizer . In Claude Desktop, download this repository as a ZIP and upload it as a skill. For a…
read the full humanizer overview →
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Frequently asked questions
Is ragflow or humanizer more popular?
ragflow has 93,460 GitHub stars and humanizer has 64,488. ragflow has the larger community by that measure.
Are ragflow and humanizer free?
Both are open source. ragflow is licensed under Apache-2.0 and humanizer under MIT. Neither carries a licence fee.
What is the difference between ragflow and humanizer?
ragflow is written in Go and humanizer in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, ragflow or humanizer?
Choose ragflow if you want the larger community (93,460 stars) or its Apache-2.0 licence terms. Choose humanizer if its feature set, stack or MIT licence fits better. Both are self-hostable.