head to head · open source
graphify vs loop-engineering
graphify has 141,064 GitHub stars, 13,483 forks, 1,350 open issues and last shipped yesterday. loop-engineering has 11,683 stars, 1,575 forks, 9 open issues and last shipped yesterday. graphify leads on adoption by 1,107% (141,064 vs 11,683 stars). graphify is written in Python under Apache-2.0; loop-engineering is written in TypeScript under MIT. graphify has attracted 10% as many forks as stars, loop-engineering 13%. graphify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-agents, claude-code, codex), 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.
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Side by side
| graphify | loop-engineering | |
|---|---|---|
| GitHub stars | ★ 141K | ★ 12K |
| License | Apache-2.0 | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 13K | ⑂ 1.6K |
| 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 loop-engineering if
- You want the loop-engineering feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and loop-engineering 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 loop-engineering
Loop Engineering Stop prompting. Design the loop. Get a score. Start in 5 minutes · Quickstart · What do you want to do? · Refactor path · 中文 · Pattern picker tool defaults to claude if you omit it. Swap for grok , codex , or opencode . Week one is report only . You design a system that discovers work, hands it to agents, verifies results, and persists state — instead of typing the next prompt yourself. New here? Quickstart · Refactor a project · Thin GitHub Action loop (no STATE.md required) What do you want to do? This is a pattern library for operating agents around a codebase . It is not a “rewrite the…
read the full loop-engineering overview →
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Frequently asked questions
Is graphify or loop-engineering more popular?
graphify has 141,064 GitHub stars and loop-engineering has 11,683. graphify has the larger community by that measure.
Are graphify and loop-engineering free?
Both are open source. graphify is licensed under Apache-2.0 and loop-engineering under MIT. Neither carries a licence fee.
What is the difference between graphify and loop-engineering?
graphify is written in Python and loop-engineering 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 loop-engineering?
Choose graphify if you want the larger community (141,064 stars) or its Apache-2.0 licence terms. Choose loop-engineering if its feature set, stack or MIT licence fits better. Both are self-hostable.