Home Automation
2 open source tools compared. Sorted by stars. Scroll down for our analysis.
| Tool | Stars | Velocity | Score |
|---|---|---|---|
 Home Assistant Open source home automation | 87.0k | +70/wk | 86 |
| 641 | +1/wk | 55 |
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Our Analysis
Home Assistant connects and automates everything in your home: lights, thermostats, cameras, locks, media players, and 2,000+ other device types. Home Assistant ties everything together. Lights, thermostats, cameras, sensors, locks, media players, whatever. One dashboard, one automation engine, running locally on your hardware. Home Assistant integrates with 2,000+ devices and services. It runs on a Raspberry Pi, a NAS, or any Docker host. Everything stays local by default; your data doesn't leave your network unless you choose to send it. The automation engine lets you build rules like "turn off all lights when everyone leaves" without writing code. The largest open source home automation project by a wide margin. Free to self-host. Home Assistant Cloud (Nabu Casa) costs $6.50/mo and adds remote access, voice assistants, and automatic SSL without port forwarding. Anyone interested in smart home automation should try this. The learning curve is real but the community is massive and helpful. The catch: initial setup can take a full weekend. YAML configuration, while being replaced by UI workflows, still shows up in advanced scenarios. And some integrations break after updates; the pace of development is fast, which is both a strength and a source of frustration.
Turns a Raspberry Pi into a voice assistant powered by ChatGPT. Plug in a microphone and speaker, run the install script, and you've got a smart speaker that uses OpenAI's API instead of Alexa or Google Home. Say something, it sends it to GPT, speaks the response back. The setup is a Docker container on a Raspberry Pi (3B+ or 4 recommended). It handles wake word detection, speech-to-text, GPT completion, and text-to-speech in a pipeline. Supports Home Assistant integration so you can control smart home devices by voice. Completely free software. Your cost is hardware (a Pi you probably already have) and OpenAI API usage. At casual home use (maybe 20-30 queries a day), expect $1-3/mo in API costs. The catch: this is a hobby project. It works, but don't expect Alexa-level reliability or polish. Wake word detection isn't perfect. Latency is noticeable; you're making a round trip to OpenAI's API for every query. There's no offline fallback. And if OpenAI changes their API or pricing, you're dependent on the maintainer updating. For a more robust self-hosted voice assistant, Home Assistant's own voice pipeline is more mature.