head to head · open source
graphify vs PI-Desktop
graphify has 119,123 GitHub stars, 11,519 forks, 1,350 open issues and last shipped 3 days ago. PI-Desktop has 4,258 stars, 357 forks, 102 open issues and last shipped yesterday. graphify leads on adoption by 2,698% (119,123 vs 4,258 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 8%. PI-Desktop 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.
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Side by side
| graphify | PI-Desktop | |
|---|---|---|
| GitHub stars | ★ 119K | ★ 4.3K |
| License | Apache-2.0 | LGPL-3.0 |
| Written in | Python | TypeScript |
| Last push | 2026-09-16 | 2026-09-18 |
| Forks | ⑂ 12K | ⑂ 357 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick graphify if
- You weight community size — 119K 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
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
About graphify
graphify is an Apache 2.0 Python CLI and /graphify skill that turns a whole project — code, docs, SQL schemas, configs, PDFs, images, and video — into a queryable knowledge graph, built for developers and AI agent users in Claude Code, Cursor, Codex, and Gemini CLI who want to query a codebase instead of grepping through files.
read the full graphify overview →
About PI-Desktop
PI Desktop is a local first desktop workspace for AI coding agents, built on an Electron shell with a Rust host core and the pi Agent Harness, extensible through user installable plugins, and aimed at developers who want agents working inside their own local projects against model providers they configure themselves.
read the full PI-Desktop overview →
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Frequently asked questions
Is graphify or PI-Desktop more popular?
graphify has 119,123 GitHub stars and PI-Desktop has 4,258. 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 (119,123 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.