head to head · open source
graphify vs R2R
graphify has 141,064 GitHub stars, 13,483 forks, 1,350 open issues and last shipped yesterday. R2R has 8,055 stars, 650 forks, 126 open issues and last shipped 12 months ago. graphify leads on adoption by 1,651% (141,064 vs 8,055 stars). graphify is written in Python under Apache-2.0; R2R is written in Python under MIT. graphify has attracted 10% as many forks as stars, R2R 8%. graphify 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
| graphify | R2R | |
|---|---|---|
| GitHub stars | ★ 141K | ★ 8.1K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2025-11-07 |
| Forks | ⑂ 13K | ⑂ 650 |
| 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 R2R if
- You want the R2R feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and R2R 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 R2R
The most advanced AI retrieval system. Agentic Retrieval Augmented Generation (RAG) with a RESTful API. Docs · Report Bug · Feature Request · Discord About R2R is an advanced AI retrieval system supporting Retrieval Augmented Generation (RAG) with production ready features. Built around a RESTful API, R2R offers multimodal content ingestion, hybrid search, knowledge graphs, and comprehensive document management. R2R also includes a Deep Research API , a multi step reasoning system that fetches relevant data from your knowledgebase and/or the internet to deliver richer, context aware answers for complex queries…
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Frequently asked questions
Is graphify or R2R more popular?
graphify has 141,064 GitHub stars and R2R has 8,055. graphify has the larger community by that measure.
Are graphify and R2R free?
Both are open source. graphify is licensed under Apache-2.0 and R2R under MIT. Neither carries a licence fee.
What is the difference between graphify and R2R?
graphify is written in Python and R2R 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, graphify or R2R?
Choose graphify if you want the larger community (141,064 stars) or its Apache-2.0 licence terms. Choose R2R if its feature set, stack or MIT licence fits better. Both are self-hostable.