head to head · open source
Dify vs ralph-claude-code
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. ralph-claude-code has 9,721 stars, 729 forks, 37 open issues and last shipped 3 days ago. Dify leads on adoption by 1,549% (160,251 vs 9,721 stars). Dify is written in Python under a custom or non-standard licence; ralph-claude-code is written in Shell under MIT. Dify has attracted 16% as many forks as stars, ralph-claude-code 7%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), 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.
← all 20902 open source comparisons
Side by side
| Dify | ralph-claude-code | |
|---|---|---|
| GitHub stars | ★ 160K | ★ 9.7K |
| License | Custom / other | MIT |
| Written in | Python | Shell |
| Last push | 2026-11-02 | 2026-10-31 |
| Forks | ⑂ 25K | ⑂ 729 |
| 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 ralph-claude-code if
- You want the ralph-claude-code feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Shell
- You evaluated both and ralph-claude-code 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 ralph-claude-code
Ralph for Claude Code Autonomous AI development loop with intelligent exit detection and rate limiting Ralph is an implementation of the Geoffrey Huntley's technique for Claude Code that enables continuous autonomous development cycles he named after Ralph Wiggum. It enables continuous autonomous development cycles where Claude Code iteratively improves your project until completion, with built in safeguards to prevent infinite loops and API overuse. Install once, use everywhere Ralph becomes a global command available in any directory. Project Status Version : v0.11.5 Active Development Core Features : Working…
read the full ralph-claude-code overview →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is Dify or ralph-claude-code more popular?
Dify has 160,251 GitHub stars and ralph-claude-code has 9,721. Dify has the larger community by that measure.
Are Dify and ralph-claude-code free?
Both are open source. Dify has no licence declared in this registry, and ralph-claude-code is licensed under MIT. Both are free to self-host.
What is the difference between Dify and ralph-claude-code?
Dify is written in Python and ralph-claude-code in Shell. 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 ralph-claude-code?
Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose ralph-claude-code if its feature set, stack or MIT licence fits better. Both are self-hostable.