head to head · open source

Dify vs humanizer

Dify has 156,167 GitHub stars, 24,658 forks, 1,067 open issues and last shipped yesterday. humanizer has 49,532 stars, 4,011 forks, 13 open issues and last shipped 12 days ago. Dify leads on adoption by 215% (156,167 vs 49,532 stars). Dify is written in TypeScript under a custom or non-standard licence; humanizer is written in Python under MIT. Dify has attracted 16% as many forks as stars, humanizer 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.

Dify ★ 156K humanizer ★ 50K category AI & Machine Learning

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Side by side

Dify humanizer
GitHub stars ★ 156K ★ 50K
License Custom / other MIT
Written in TypeScript Python
Last push 2026-09-17 2026-09-06
Forks ⑂ 25K ⑂ 4.0K
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 humanizer if

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

full humanizer 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 humanizer

Humanizer is an MIT licensed agent skill that rewrites AI sounding text so it reads like a person wrote it without changing what it says, and it is aimed at writers, developers, and documentation teams working inside Claude Code, Codex, Cursor, or any other agent that supports skills.

read the full humanizer overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Open WebUI ★ 152K langchain ★ 147K ponytail ★ 141K

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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 humanizer more popular?

Dify has 156,167 GitHub stars and humanizer has 49,532. Dify has the larger community by that measure.

Are Dify and humanizer free?

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

What is the difference between Dify and humanizer?

Dify is written in TypeScript and humanizer 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 humanizer?

Choose Dify if you want the larger community (156,167 stars) or its Custom / other licence terms. Choose humanizer if its feature set, stack or MIT licence fits better. Both are self-hostable.