head to head · open source
ragflow vs open-science
ragflow has 93,460 GitHub stars, 11,215 forks, 1,525 open issues and last shipped yesterday. open-science has 5,435 stars, 551 forks, 40 open issues and last shipped yesterday. ragflow leads on adoption by 1,620% (93,460 vs 5,435 stars). ragflow is written in Go under Apache-2.0; open-science is written in TypeScript under Apache-2.0. ragflow has attracted 12% as many forks as stars, open-science 10%. open-science 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 | open-science | |
|---|---|---|
| GitHub stars | ★ 93K | ★ 5.4K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | TypeScript |
| Last push | 2026-11-04 | 2026-11-04 |
| Forks | ⑂ 11K | ⑂ 551 |
| 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 open-science if
- You want the open-science feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and open-science 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 open-science
AIPOCH Open Science AI research workbench for reproducible science — open source, local first, and model agnostic. AIPOCH Open Science is an AI research workbench for scientists and researchers, developed by AIPOCH with an open source, local first, model agnostic approach. It enables reproducible, inspectable research with scientific AI agents, Python and R execution, scientific data connectors, and cross platform support for macOS, Windows, and Linux. Create a project, describe your research goal in plain language, and let the agents read files, search the web, run code, query scientific data sources, and…
read the full open-science overview →
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Frequently asked questions
Is ragflow or open-science more popular?
ragflow has 93,460 GitHub stars and open-science has 5,435. ragflow has the larger community by that measure.
Are ragflow and open-science free?
Both are open source. ragflow is licensed under Apache-2.0 and open-science under Apache-2.0. Neither carries a licence fee.
What is the difference between ragflow and open-science?
ragflow is written in Go and open-science in TypeScript. 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 open-science?
Choose ragflow if you want the larger community (93,460 stars) or its Apache-2.0 licence terms. Choose open-science if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.