head to head · open source

Dify vs DeepSeek-Reasonix

Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. DeepSeek-Reasonix has 36,045 stars, 2,500 forks, 1,908 open issues and last shipped yesterday. Dify leads on adoption by 345% (160,251 vs 36,045 stars). Dify is written in Python under a custom or non-standard licence; DeepSeek-Reasonix is written in Go under MIT. Dify has attracted 16% as many forks as stars, DeepSeek-Reasonix 7%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agent, deepseek, 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.

Dify ★ 160K DeepSeek-Reasonix ★ 36K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

Dify DeepSeek-Reasonix
GitHub stars ★ 160K ★ 36K
License Custom / other MIT
Written in Python Go
Last push 2026-11-02 2026-11-02
Forks ⑂ 25K ⑂ 2.5K
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

full Dify profile →

pick DeepSeek-Reasonix if

  • You want the DeepSeek-Reasonix feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Go
  • You evaluated both and DeepSeek-Reasonix fits your workflow better

full DeepSeek-Reasonix profile →

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…

read the full Dify overview →

About DeepSeek-Reasonix

English · 简体中文 · Guide · ACP · Extensions · Spec · Website · Discord Open source · MIT · a single Go binary A coding agent you can leave running. One local engine, four ways in — terminal, desktop app, browser, or your editor over ACP. Plan mode, permissions, a workspace sandbox and per turn checkpoints keep a long autonomous run something you can still read and undo. [!IMPORTANT] Community · 加入社区 — bilingual Discord for setup help ( help / 求助 ), workflow showcases, and feature ideas. → Features Config driven. Providers, the agent, enabled tools, and plugins are all declared in reasonix.toml . No hardcoded…

read the full DeepSeek-Reasonix 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 DeepSeek-Reasonix more popular?

Dify has 160,251 GitHub stars and DeepSeek-Reasonix has 36,045. Dify has the larger community by that measure.

Are Dify and DeepSeek-Reasonix free?

Both are open source. Dify has no licence declared in this registry, and DeepSeek-Reasonix is licensed under MIT. Both are free to self-host.

What is the difference between Dify and DeepSeek-Reasonix?

Dify is written in Python and DeepSeek-Reasonix in Go. 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 DeepSeek-Reasonix?

Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose DeepSeek-Reasonix if its feature set, stack or MIT licence fits better. Both are self-hostable.