head to head · open source
graphify vs cua
graphify has 141,064 GitHub stars, 13,483 forks, 1,350 open issues and last shipped yesterday. cua has 31,590 stars, 2,340 forks, 926 open issues and last shipped yesterday. graphify leads on adoption by 347% (141,064 vs 31,590 stars). graphify is written in Python under Apache-2.0; cua is written in Rust under MIT. graphify has attracted 10% as many forks as stars, cua 7%. cua 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 | cua | |
|---|---|---|
| GitHub stars | ★ 141K | ★ 32K |
| License | Apache-2.0 | MIT |
| Written in | Python | Rust |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 13K | ⑂ 2.3K |
| 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
pick cua if
- You want the cua feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Rust
- You evaluated both and cua fits your workflow better
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 cua
Give AI agents computers they can use. Cua provides open source desktop automation, isolated cloud desktops, local macOS VMs, and benchmarks for evaluating computer use agents. Try Cua Fleets now at run.cua.ai Choose your path Cua Fleets: Provision a Linux desktop, run a command, and save a screenshot. Cua Driver: Operate Calculator and verify its result. Lume: Create a Tahoe VM and connect over SSH. Cua Bench: Create and verify a simulated task. You bring the agent and model. Cua provides the computer and automation tools. Computer Use 2.0 describes an agent moving between code, APIs, and graphical interfaces…
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Frequently asked questions
Is graphify or cua more popular?
graphify has 141,064 GitHub stars and cua has 31,590. graphify has the larger community by that measure.
Are graphify and cua free?
Both are open source. graphify is licensed under Apache-2.0 and cua under MIT. Neither carries a licence fee.
What is the difference between graphify and cua?
graphify is written in Python and cua in Rust. 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 cua?
Choose graphify if you want the larger community (141,064 stars) or its Apache-2.0 licence terms. Choose cua if its feature set, stack or MIT licence fits better. Both are self-hostable.