head to head · open source
Dify vs ruby_llm
Dify has 160,186 GitHub stars, 25,328 forks, 1,067 open issues and last shipped yesterday. ruby_llm has 4,490 stars, 529 forks, 7 open issues and last shipped yesterday. Dify leads on adoption by 3,468% (160,186 vs 4,490 stars). Dify is written in Python under a custom or non-standard licence; ruby_llm is written in Ruby under MIT. Dify has attracted 16% as many forks as stars, ruby_llm 12%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agentic-ai, ai, llm), 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
| Dify | ruby_llm | |
|---|---|---|
| GitHub stars | ★ 160K | ★ 4.5K |
| License | Custom / other | MIT |
| Written in | Python | Ruby |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 529 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 160K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick ruby_llm if
- You want the ruby_llm feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Ruby
- You evaluated both and ruby_llm fits your workflow better
About Dify
Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…
About ruby_llm
Build AI features the Ruby way RubyLLM is the Ruby native AI framework. Work with models, tools, and agents through one consistent API, in plain Ruby or Rails. Website · Getting Started · What's New in 2.0 Battle tested at Fully private work AI [!NOTE] Using RubyLLM? Share your story! Takes 5 minutes. 17 providers. One Ruby API. Build with the models you want. Move between hosted and local providers without rewriting your application, or connect an OpenAI compatible endpoint. Browse models and pricing · Connect a provider Start with one line. Add files, tools, and agents These examples use 2.0.0 . Follow Getting…
read the full ruby_llm overview →
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Frequently asked questions
Is Dify or ruby_llm more popular?
Dify has 160,186 GitHub stars and ruby_llm has 4,490. Dify has the larger community by that measure.
Are Dify and ruby_llm free?
Both are open source. Dify has no licence declared in this registry, and ruby_llm is licensed under MIT. Both are free to self-host.
What is the difference between Dify and ruby_llm?
Dify is written in Python and ruby_llm in Ruby. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Dify or ruby_llm?
Choose Dify if you want the larger community (160,186 stars) or its Custom / other licence terms. Choose ruby_llm if its feature set, stack or MIT licence fits better. Both are self-hostable.