head to head · open source

Dify vs graphify

Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. graphify has 141,064 stars, 13,483 forks, 1,350 open issues and last shipped yesterday. Dify leads on adoption by 14% (160,251 vs 141,064 stars). Dify is written in Python under a custom or non-standard licence; graphify is written in Python under Apache-2.0. Dify has attracted 16% as many forks as stars, graphify 10%. graphify 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 ★ 160K graphify ★ 141K category AI & Machine Learning

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Side by side

Dify graphify
GitHub stars ★ 160K ★ 141K
License Custom / other Apache-2.0
Written in Python Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 25K ⑂ 13K
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 graphify if

  • You want the graphify feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and graphify fits your workflow better

full graphify 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 graphify

Read this in other languages 🇺🇸 English 🇨🇳 简体中文 🇯🇵 日本語 🇰🇷 한국어 🇩🇪 Deutsch 🇫🇷 Français 🇪🇸 Español 🇮🇳 हिन्दी 🇧🇷 Português 🇷🇺 Русский 🇸🇦 العربية 🇮🇷 فارسی 🇮🇹 Italiano 🇵🇱 Polski 🇳🇱 Nederlands 🇹🇷 Türkçe 🇺🇦 Українська 🇻🇳 Tiếng Việt 🇮🇩 Bahasa Indonesia 🇸🇪 Svenska 🇬🇷 Ελληνικά 🇷🇴 Română 🇨🇿 Čeština 🇫🇮 Suomi 🇩🇰 Dansk 🇳🇴 Norsk 🇭🇺 Magyar 🇹🇭 ภาษาไทย 🇺🇿 Oʻzbekcha 🇹🇼 繁體中文 🇵🇭 Filipino 🇮🇱 עברית Early access to the graphify platform is open before the public v1 launch: app.graphify.com Type /graphify in your AI coding assistant and it maps your entire project (code…

read the full graphify overview →

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Frequently asked questions

Is Dify or graphify more popular?

Dify has 160,251 GitHub stars and graphify has 141,064. Dify has the larger community by that measure.

Are Dify and graphify free?

Both are open source. Dify has no licence declared in this registry, and graphify is licensed under Apache-2.0. Both are free to self-host.

What is the difference between Dify and graphify?

Dify is written in Python and graphify 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 graphify?

Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose graphify if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.