head to head · open source
frigate vs gpt-home
frigate has 37,160 GitHub stars, 3,782 forks, 95 open issues and last shipped yesterday. gpt-home has 652 stars, 68 forks, 0 open issues and last shipped 2 months ago. frigate leads on adoption by 5,599% (37,160 vs 652 stars). frigate is written in Python under MIT; gpt-home is written in Python under GPL-3.0. frigate has attracted 10% as many forks as stars, gpt-home 10%. frigate was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai, home-assistant, home-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
| frigate | gpt-home | |
|---|---|---|
| GitHub stars | ★ 37K | ★ 652 |
| License | MIT | GPL-3.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-09-13 |
| Forks | ⑂ 3.8K | ⑂ 68 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick frigate if
- You weight community size — 37K stars and counting
- You want the MIT license terms
- Your stack matches Python
- 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 frigate
Frigate NVR™ Realtime Object Detection for IP Cameras \[English\] 简体中文 A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors. Tight integration with Home Assistant via a custom component Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary Leverages multiprocessing…
read the full frigate overview →
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 frigate or gpt-home more popular?
frigate has 37,160 GitHub stars and gpt-home has 652. frigate has the larger community by that measure.
Are frigate and gpt-home free?
Both are open source. frigate is licensed under MIT and gpt-home under GPL-3.0. Neither carries a licence fee.
What is the difference between frigate and gpt-home?
frigate is written in Python 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, frigate or gpt-home?
Choose frigate if you want the larger community (37,160 stars) or its MIT licence terms. Choose gpt-home if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.