head to head · open source
graphify vs ragflow
graphify has 140,647 GitHub stars, 13,441 forks, 1,350 open issues and last shipped 2 days ago. ragflow has 93,319 stars, 11,202 forks, 1,525 open issues and last shipped yesterday. graphify leads on adoption by 51% (140,647 vs 93,319 stars). graphify is written in Python under Apache-2.0; ragflow is written in Go under Apache-2.0. graphify has attracted 10% as many forks as stars, ragflow 12%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), so they are genuine substitutes rather than adjacent tools.
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
| graphify | ragflow | |
|---|---|---|
| GitHub stars | ★ 141K | ★ 93K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Go |
| Last push | 2026-11-01 | 2026-11-02 |
| Forks | ⑂ 13K | ⑂ 11K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick graphify if
- You weight community size — 141K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick ragflow if
- You want the ragflow feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go
- You evaluated both and ragflow fits your workflow better
About graphify
Read this in other languages 🇺🇸 English 🇨🇳 简体中文 🇯🇵 日本語 🇰🇷 한국어 🇩🇪 Deutsch 🇫🇷 Français 🇪🇸 Español 🇮🇳 हिन्दी 🇧🇷 Português 🇷🇺 Русский 🇸🇦 العربية 🇮🇷 فارسی 🇮🇹 Italiano 🇵🇱 Polski 🇳🇱 Nederlands 🇹🇷 Türkçe 🇺🇦 Українська 🇻🇳 Tiếng Việt 🇮🇩 Bahasa Indonesia 🇸🇪 Svenska 🇬🇷 Ελληνικά 🇷🇴 Română 🇨🇿 Čeština 🇫🇮 Suomi 🇩🇰 Dansk 🇳🇴 Norsk 🇭🇺 Magyar 🇹🇭 ภาษาไทย 🇺🇿 Oʻzbekcha 🇹🇼 繁體中文 🇵🇭 Filipino 🇮🇱 עברית Early access to the graphify platform is open before the public v1 launch: app.graphify.com Type /graphify in your AI coding assistant and it maps your entire project (code…
read the full graphify overview →
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 →
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Frequently asked questions
Is graphify or ragflow more popular?
graphify has 140,647 GitHub stars and ragflow has 93,319. graphify has the larger community by that measure.
Are graphify and ragflow free?
Both are open source. graphify is licensed under Apache-2.0 and ragflow under Apache-2.0. Neither carries a licence fee.
What is the difference between graphify and ragflow?
graphify is written in Python and ragflow in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, graphify or ragflow?
Choose graphify if you want the larger community (140,647 stars) or its Apache-2.0 licence terms. Choose ragflow if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.