head to head · open source

Dify vs humanizer

Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. humanizer has 63,953 stars, 5,059 forks, 13 open issues and last shipped 6 days ago. Dify leads on adoption by 151% (160,251 vs 63,953 stars). Dify is written in Python 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. The two share 2 topic tags (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 humanizer ★ 64K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

Dify humanizer
GitHub stars ★ 160K ★ 64K
License Custom / other MIT
Written in Python Python
Last push 2026-11-02 2026-10-28
Forks ⑂ 25K ⑂ 5.1K
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 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 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 humanizer

Humanizer Humanizer rewrites AI sounding text so it reads like a person wrote it, without changing what it says. Because it is just Markdown, it works with any agent that supports skills. Installation Install Humanizer with the Skills CLI: Leave off global to install Humanizer only in the current project. Add agent or agent ' ' to choose which agents receive it, then reload their skills. The skill answers to /humanizer . Claude Code 2.1.142 or newer can install the plugin instead: The plugin answers to /humanizer:humanizer . In Claude Desktop, download this repository as a ZIP and upload it as a skill. For a…

read the full humanizer 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 humanizer more popular?

Dify has 160,251 GitHub stars and humanizer has 63,953. 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 Python 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 (160,251 stars) or its Custom / other licence terms. Choose humanizer if its feature set, stack or MIT licence fits better. Both are self-hostable.