head to head · open source

Dify vs cc-haha

Dify has 160,186 GitHub stars, 25,328 forks, 1,067 open issues and last shipped yesterday. cc-haha has 15,268 stars, 8,605 forks, 189 open issues and last shipped yesterday. Dify leads on adoption by 949% (160,186 vs 15,268 stars). Dify is written in Python under a custom or non-standard licence; cc-haha is written in TypeScript under a custom or non-standard licence. Dify has attracted 16% as many forks as stars, cc-haha 56%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (agent, ai, claude, 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 cc-haha ★ 15K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

Dify cc-haha
GitHub stars ★ 160K ★ 15K
License Custom / other Custom / other
Written in Python TypeScript
Last push 2026-11-02 2026-11-02
Forks ⑂ 25K ⑂ 8.6K
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 cc-haha if

  • You want the cc-haha feature set and don't need the biggest community
  • You prefer the Custom / other license terms
  • Your stack matches TypeScript
  • You evaluated both and cc-haha fits your workflow better

full cc-haha 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 cc-haha

Claude Code Haha 简体中文 · English Claude Code Haha is a desktop Claude Code workspace for macOS, Windows, and Linux: multi session workspaces, global search, branch / Worktree launch, diff review, built in browser preview, GUI permission approval, any model — Claude, ChatGPT, Grok, presets, or local endpoints — image generation, visual MCP & SubAgent managers, an Agent Teams workbench, dynamic Workflow orchestration, model trace, Computer Use, skill marketplace, colour themes, desktop pets, H5 remote access, IM integration, and scheduled tasks, all in one app. Desktop Preview · Install · Highlights · More Docs ·…

read the full cc-haha 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 cc-haha more popular?

Dify has 160,186 GitHub stars and cc-haha has 15,268. Dify has the larger community by that measure.

Are Dify and cc-haha free?

Neither Dify nor cc-haha declares a licence in this registry, so check each project's own repository before relying on either for a commercial use. Both are free to self-host.

What is the difference between Dify and cc-haha?

Dify is written in Python and cc-haha 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, Dify or cc-haha?

Choose Dify if you want the larger community (160,186 stars) or its Custom / other licence terms. Choose cc-haha if its feature set, stack or Custom / other licence fits better. Both are self-hostable.