head to head · open source

Dify vs PawWork_ZhuaZhua

Dify has 156,215 GitHub stars, 24,668 forks, 1,067 open issues and last shipped yesterday. PawWork_ZhuaZhua has 2,768 stars, 10 forks, 0 open issues and last shipped yesterday. Dify leads on adoption by 5,544% (156,215 vs 2,768 stars). Dify is written in TypeScript under a custom or non-standard licence; PawWork_ZhuaZhua is written in JavaScript under MIT. Dify has attracted 16% as many forks as stars, PawWork_ZhuaZhua 0%. PawWork_ZhuaZhua was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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 ★ 156K PawWork_ZhuaZhua ★ 2.8K category AI & Machine Learning

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Side by side

Dify PawWork_ZhuaZhua
GitHub stars ★ 156K ★ 2.8K
License Custom / other MIT
Written in TypeScript JavaScript
Last push 2026-09-18 2026-09-18
Forks ⑂ 25K ⑂ 10
Self-hosting Yes Yes
Data ownership Your server Your server

pick Dify if

  • You weight community size — 156K stars and counting
  • You want the Custom / other license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full Dify profile →

pick PawWork_ZhuaZhua if

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

full PawWork_ZhuaZhua profile →

About Dify

Dify is an open source LLM application development platform built in TypeScript. It provides a visual interface for designing, testing, and deploying AI workflows, RAG pipelines, and agentic systems without writing extensive code. The platform lives in the generative AI development ecosystem and targets teams needing to move from prototype to production using consistent tooling across environments.

read the full Dify overview →

About PawWork_ZhuaZhua

PawWork ZhuaZhua (爪爪) is a selection first Chrome MV3 web agent for people who want to turn text selected on a live, already logged in page into an editable office file without routing anything through a hosted service.

read the full PawWork_ZhuaZhua overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

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openclaw vs dify n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail openclaw vs multica openclaw vs langgraph openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm

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Compare either of these against the rest of the AI Development Platforms field.

Dify vs langchain Dify vs ponytail Dify vs generative-ai-for-beginners Dify vs graphify Dify vs claude-mem Dify vs ragflow Dify vs PaddleOCR Dify vs Agent-Reach Dify vs headroom Dify vs Mem0 Dify vs daily_stock_analysis Dify vs LiteLLM

Frequently asked questions

Is Dify or PawWork_ZhuaZhua more popular?

Dify has 156,215 GitHub stars and PawWork_ZhuaZhua has 2,768. Dify has the larger community by that measure.

Are Dify and PawWork_ZhuaZhua free?

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

What is the difference between Dify and PawWork_ZhuaZhua?

Dify is written in TypeScript and PawWork_ZhuaZhua in JavaScript. 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 PawWork_ZhuaZhua?

Choose Dify if you want the larger community (156,215 stars) or its Custom / other licence terms. Choose PawWork_ZhuaZhua if its feature set, stack or MIT licence fits better. Both are self-hostable.