head to head · open source

Dify vs ArcReel

Dify has 156,215 GitHub stars, 24,668 forks, 1,067 open issues and last shipped today. ArcReel has 4,976 stars, 982 forks, 97 open issues and last shipped today. Dify leads on adoption by 3,039% (156,215 vs 4,976 stars). Dify is written in TypeScript under a custom or non-standard licence; ArcReel is written in Python under AGPL-3.0. Dify has attracted 16% as many forks as stars, ArcReel 20%. ArcReel was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (agentic-workflow), 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 ArcReel ★ 5.0K category AI & Machine Learning

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Side by side

Dify ArcReel
GitHub stars ★ 156K ★ 5.0K
License Custom / other AGPL-3.0
Written in TypeScript Python
Last push 2026-09-18 2026-09-18
Forks ⑂ 25K ⑂ 982
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 ArcReel if

  • You want the ArcReel feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches Python
  • You evaluated both and ArcReel fits your workflow better

full ArcReel 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 ArcReel

ArcReel is a self hosted, AGPL 3.0 AI video production workspace that turns novels, finished scripts, or product material into character consistent short videos — characters, scenes, props, storyboards, clips and Jianying drafts — aimed at creators, small studios and technical teams willing to run their own Docker deployment.

read the full ArcReel overview →

More in AI & Machine Learning

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

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dify vs langchain dify vs ponytail dify vs graphify dify vs claude-mem dify vs ragflow langchain vs ponytail langchain vs graphify ponytail vs graphify openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai llama-cpp vs vllm ollama vs pageindex ollama vs langfuse

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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 ArcReel more popular?

Dify has 156,215 GitHub stars and ArcReel has 4,976. Dify has the larger community by that measure.

Are Dify and ArcReel free?

Both are open source. Dify has no licence declared in this registry, and ArcReel is licensed under AGPL-3.0. Both are free to self-host.

What is the difference between Dify and ArcReel?

Dify is written in TypeScript and ArcReel in Python. 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 ArcReel?

Choose Dify if you want the larger community (156,215 stars) or its Custom / other licence terms. Choose ArcReel if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.