head to head · open source
Dify vs gepa
Dify has 160,626 GitHub stars, 25,417 forks, 1,067 open issues and last shipped yesterday. gepa has 7,329 stars, 611 forks, 154 open issues and last shipped yesterday. Dify leads on adoption by 2,092% (160,626 vs 7,329 stars). Dify is written in Python under a custom or non-standard licence; gepa is written in Jupyter Notebook under MIT. Dify has attracted 16% as many forks as stars, gepa 8%. Dify 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
| Dify | gepa | |
|---|---|---|
| GitHub stars | ★ 161K | ★ 7.3K |
| License | Custom / other | MIT |
| Written in | Python | Jupyter Notebook |
| Last push | 2026-11-07 | 2026-11-07 |
| Forks | ⑂ 25K | ⑂ 611 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 161K 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 gepa if
- You want the gepa feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Jupyter Notebook
- You evaluated both and gepa 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 gepa
Optimize any text parameter — prompts, code, agent architectures, configurations — using LLM based reflection and Pareto efficient evolutionary search. Website     Quick Start     Paper     Blog     Discord What is GEPA? GEPA (Genetic Pareto) is a framework for optimizing any system with textual parameters against any evaluation metric. Unlike RL or gradient based methods that collapse execution traces into a single scalar reward, GEPA uses LLMs to read full execution traces — error messages, profiling data, reasoning logs — to diagnose why a candidate failed and propose…
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Frequently asked questions
Is Dify or gepa more popular?
Dify has 160,626 GitHub stars and gepa has 7,329. Dify has the larger community by that measure.
Are Dify and gepa free?
Both are open source. Dify has no licence declared in this registry, and gepa is licensed under MIT. Both are free to self-host.
What is the difference between Dify and gepa?
Dify is written in Python and gepa in Jupyter Notebook. 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 gepa?
Choose Dify if you want the larger community (160,626 stars) or its Custom / other licence terms. Choose gepa if its feature set, stack or MIT licence fits better. Both are self-hostable.