head to head · open source
n8n vs gpt-home
n8n has 205,086 GitHub stars, 60,753 forks, 1,143 open issues and last shipped today. gpt-home has 649 stars, 68 forks, 0 open issues and last shipped 5 days ago. n8n leads on adoption by 31,500% (205,086 vs 649 stars). n8n is written in TypeScript under a custom or non-standard licence; gpt-home is written in Python under GPL-3.0. n8n has attracted 30% as many forks as stars, gpt-home 10%. n8n was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, automation), 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
| n8n | gpt-home | |
|---|---|---|
| GitHub stars | ★ 205K | ★ 649 |
| License | Custom / other | GPL-3.0 |
| Written in | TypeScript | Python |
| Last push | 2026-09-18 | 2026-09-13 |
| Forks | ⑂ 61K | ⑂ 68 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick n8n if
- You weight community size — 205K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick gpt-home if
- You want the gpt-home feature set and don't need the biggest community
- You prefer the GPL-3.0 license terms
- Your stack matches Python
- You evaluated both and gpt-home fits your workflow better
About n8n
n8n is a visual workflow automation platform built in TypeScript that combines a drag and drop editor with custom code execution. It lives in the integration and automation ecosystem, positioned as an open alternative to proprietary services like Zapier. Users design multi step workflows—called “n8n flows”—that connect apps, services, and custom logic to automate repetitive tasks.
About gpt-home
🏠 GPT Home 🤖💬 ChatGPT at home! Basically a better Google Nest Hub or Amazon Alexa home assistant. Built on the Raspberry P iusing LiteLLM and LangGraph. This guide will explain how to build your own. It's pretty straight forward. You can also use this as a reference for building other projects on the Raspberry Pi. Theoretically, the app should run on any linux system thanks to docker, but I can only vouch for the versions listed in the compatibility table. You should be able use any plug and play USB/3.5mm speaker or microphone as long as it's supported by ALSA or PortAudio. 📦 Integrations ✅ OpenAI ✅ Spotify …
read the full gpt-home overview →
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Frequently asked questions
Is n8n or gpt-home more popular?
n8n has 205,086 GitHub stars and gpt-home has 649. n8n has the larger community by that measure.
Are n8n and gpt-home free?
Both are open source. n8n has no licence declared in this registry, and gpt-home is licensed under GPL-3.0. Both are free to self-host.
What is the difference between n8n and gpt-home?
n8n is written in TypeScript and gpt-home 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, n8n or gpt-home?
Choose n8n if you want the larger community (205,086 stars) or its Custom / other licence terms. Choose gpt-home if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.