head to head · open source

Dify vs chonkie

Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. chonkie has 4,818 stars, 368 forks, 48 open issues and last shipped 3 days ago. Dify leads on adoption by 3,226% (160,251 vs 4,818 stars). Dify is written in Python under a custom or non-standard licence; chonkie is written in Python under MIT. Dify has attracted 16% as many forks as stars, chonkie 8%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), 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 chonkie ★ 4.8K category AI & Machine Learning

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Side by side

Dify chonkie
GitHub stars ★ 160K ★ 4.8K
License Custom / other MIT
Written in Python Python
Last push 2026-11-02 2026-10-31
Forks ⑂ 25K ⑂ 368
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 chonkie if

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

full chonkie 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 chonkie

🦛 Chonkie ✨ The lightweight ingestion library for fast, efficient and robust RAG pipelines Installation • Usage • Chunkers • Integrations • Benchmarks Tired of making your gazillionth chunker? Sick of the overhead of large libraries? Want to chunk your texts quickly and efficiently? Chonkie the mighty hippo is here to help! 🚀 Feature rich : All the CHONKs you'd ever need 🔄 End to end : Fetch, CHONK, refine, embed and ship straight to your vector DB! ✨ Easy to use : Install, Import, CHONK ⚡ Fast : CHONK at the speed of light! zooooom 🪶 Light weight : No bloat, just CHONK 🔌 32+ integrations : Works with your…

read the full chonkie overview →

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Frequently asked questions

Is Dify or chonkie more popular?

Dify has 160,251 GitHub stars and chonkie has 4,818. Dify has the larger community by that measure.

Are Dify and chonkie free?

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

What is the difference between Dify and chonkie?

Dify is written in Python and chonkie 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 chonkie?

Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose chonkie if its feature set, stack or MIT licence fits better. Both are self-hostable.