head to head · open source

graphify vs PI-Desktop

graphify has 141,064 GitHub stars, 13,483 forks, 1,350 open issues and last shipped yesterday. PI-Desktop has 7,609 stars, 744 forks, 102 open issues and last shipped yesterday. graphify leads on adoption by 1,754% (141,064 vs 7,609 stars). graphify is written in Python under Apache-2.0; PI-Desktop is written in TypeScript under LGPL-3.0. graphify has attracted 10% as many forks as stars, PI-Desktop 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.

graphify ★ 141K PI-Desktop ★ 7.6K category AI & Machine Learning

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Side by side

graphify PI-Desktop
GitHub stars ★ 141K ★ 7.6K
License Apache-2.0 LGPL-3.0
Written in Python TypeScript
Last push 2026-11-02 2026-11-02
Forks ⑂ 13K ⑂ 744
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 141K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full graphify profile →

pick PI-Desktop if

  • You want the PI-Desktop feature set and don't need the biggest community
  • You prefer the LGPL-3.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and PI-Desktop fits your workflow better

full PI-Desktop profile →

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 →

About PI-Desktop

PI Desktop The desktop workspace for AI coding agents. Bring your own model. Open any local project. Let agents work — while you stay in control. Local first · Model agnostic · Extensible · macOS / Windows / Linux Download · Documentation · Screenshots · Build a Plugin · 简体中文 No PI Desktop account. No mandatory relay. No editor lock in. Projects and sessions stay on your machine. Model requests go directly to the provider or endpoint you configure. [!IMPORTANT] PI Desktop is in Early Preview. It is already usable for real coding workflows, while APIs, extension interfaces, and some desktop behaviors are still…

read the full PI-Desktop overview →

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Frequently asked questions

Is graphify or PI-Desktop more popular?

graphify has 141,064 GitHub stars and PI-Desktop has 7,609. graphify has the larger community by that measure.

Are graphify and PI-Desktop free?

Both are open source. graphify is licensed under Apache-2.0 and PI-Desktop under LGPL-3.0. Neither carries a licence fee.

What is the difference between graphify and PI-Desktop?

graphify is written in Python and PI-Desktop in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, graphify or PI-Desktop?

Choose graphify if you want the larger community (141,064 stars) or its Apache-2.0 licence terms. Choose PI-Desktop if its feature set, stack or LGPL-3.0 licence fits better. Both are self-hostable.