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home-assistant/core

Home Assistant core: a local-first automation platform with a modular integration model

Home Assistant runs home automation locally, connecting devices and services while keeping control and data on the user's system.

92,292 stars39,308 forksPythonApache-2.0

At a glance

What is it?
Home Assistant core is a Python-based, Apache-2.0 licensed home automation platform that runs locally on a Raspberry Pi or a local server. Its modular integration architecture is the main reason to adopt it, but the breadth of that architecture carries real maintenance weight.
Who is it for?
Adopt Home Assistant if you want local control of your home automation and are willing to invest time in a large, modular system. Do not adopt it if you need a plug-and-play appliance with a small setup surface.
Can I use it commercially?
Yes. Apache-2.0 is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
Is it still maintained?
Yes. The repository received new commits within the last day.
What is it written in?
Mainly Python, according to GitHub's language statistics.

Answers come from the project's GitHub data, last synced on November 13, 2026, and from our analysis. They are not legal advice.

From daily snapshots

Star history

  • home-assistant/core92,292 ★ · +2,763
Star history
Repository2026-07-282026-11-13
home-assistant/core89.5k92.3k

2,763 Stars in the last 108 days, measured from the daily GitHub snapshot. Compare with other projects

Editorial analysis

The problem it solves: local control and privacy in home automation

Home Assistant solves a specific problem: most commercial home automation systems send your device data through cloud services. The README states that the project puts local control and privacy first. That means the software runs on hardware you own, such as a Raspberry Pi or a local server, and keeps both control logic and data on your system. The target user is the tinkerer or DIY enthusiast, not someone who wants a zero-configuration appliance. The project is part of the Open Home Foundation, which reinforces the local-first mission. For an engineer evaluating this, the core value is architectural: you get a platform where device support is added through modular components, not by forking the whole system.

How the modular architecture works

The system is built around a modular approach. The README says this design exists so that support for other devices or actions can be implemented easily. The README links to a section on architecture. The trade-off is that the core is a platform, not a finished product. You need to understand the component model before you can extend it. The README points to a dedicated section for creating your own components, which implies that writing a new integration is a supported, documented path.

Getting it running: installation and first steps

The README does not include installation commands, but it points to the official installation instructions at home-assistant.io/getting-started. The demo at demo.home-assistant.io gives you a live instance to explore without installing anything. For a real deployment, the README says Home Assistant is perfect to run on a Raspberry Pi or a local server. The core repository itself is Python, so a developer can run it from source, but the README does not provide the exact commands. The presence of a demo suggests you can evaluate the interface before committing to an install. That is useful because the configuration surface is large, and seeing it in action helps you decide if the platform fits.

A genuine limitation: the scope of what you must learn

The modular approach has a cost. Because Home Assistant supports many devices and services, the integration catalog is huge, and the configuration options are correspondingly broad. The README shows a screenshot of featured integrations, but it does not list the total count. A new user must learn the core concepts: entities, states, events, and automations. The documentation is extensive, but that breadth is a barrier. For a simple use case, like turning on a light with a motion sensor, a commercial hub may be simpler. Home Assistant is the wrong tool if you want a minimal setup with no interest in the underlying architecture. The project is also under active development, with beta releases on a monthly cycle. That means the platform changes regularly, and a custom integration you write may need updates to stay compatible.

The alternative: a cloud-based hub or a dedicated controller

The main alternative is a commercial home automation hub, such as a proprietary smart home bridge that relies on cloud services. That approach is simpler to set up: you pair devices through a vendor app, and the vendor hosts the control logic. The difference in approach is fundamental. A commercial hub trades local control for convenience, and your data flows through the vendor's servers. Home Assistant keeps everything local, but you take on the responsibility of maintaining the system yourself. If you value privacy and control, Home Assistant is the stronger choice. If you value speed of setup over data ownership, a cloud hub wins.

Maintenance and upgrade cost

The release history shows a fast cadence: beta releases for version 2026.11.0 arrived on 2026-10-29, 2026-10-30 and 2026-11-02. That indicates a monthly release train, which is common for large open source projects. The cost for you is that upgrades are frequent, and each one may change behavior or configuration schemas. The license is Apache-2.0, which permits commercial use, modification, and distribution, with the condition that you preserve the license notice. That is a permissive license, so you can build on Home Assistant without releasing your own changes. But the core is a moving target, so plan for regular upgrade work and for reading release notes.

Who should adopt it and what to verify first

Home Assistant is for people who want local control and are comfortable with a learning curve. Engineers and tinkerers fit the profile. It is not for someone who wants a set-and-forget appliance. Before adopting, verify that the specific devices you own are supported. The integrations list, linked from the README, is the place to check. Also review the architecture documentation to understand how components are structured, because that determines how much effort a custom integration will take. The demo is a low-cost way to test the interface. The project is healthy, with active development and a clear license, but the monthly release cycle means you should budget time for maintenance. If you accept that trade-off, Home Assistant gives you a platform where your data stays on your hardware.

Editorial conclusion

Adopt Home Assistant if you want local control of your home automation and are willing to invest time in a large, modular system. Do not adopt it if you need a plug-and-play appliance with a small setup surface. Before committing, verify that the integrations you need exist in the official integrations list, and check the architecture documentation to understand how components are structured. The project is actively developed with a monthly release cycle, so plan for regular upgrades and for the possibility that a custom component you write may need changes as the core evolves.

Frequently asked questions

what is home assistant core

It is the Python application itself. pyproject.toml names the distribution homeassistant and describes it as an open-source home automation platform running on Python 3, and the README says it puts local control and privacy first and is suitable for a Raspberry Pi or a local server.

how to install home assistant core

The repository gives no install command. The README sends you to home-assistant.io for installation instructions, and the only installation recipe in the tree is the Dockerfile, which is marked as partly generated by hassfest and takes its base image from a build argument.

Is Home Assistant Core still supported?

Recent releases are the betas 2026.11.0b1, 2026.11.0b2 and 2026.11.0b3, published on 2026-10-29, 2026-10-30 and 2026-11-02, and the last push was on 2026-11-02. The repository is not archived and carries a Development Status :: 5 - Production/Stable classifier.

Is it better to run Home Assistant on Docker or a VM?

The repository ships a Dockerfile, so a container image is a route the project maintains itself, and a second file named Dockerfile.dev sits beside it. The README does not compare running methods, and its only statement about hardware is that the platform is suitable for a Raspberry Pi or a local server.

Is it better to update Home Assistant core or operating system first?

The repository does not document an update order. What it does record is a coupling: the Dockerfile sets S6_SERVICES_GRACETIME to 240000 under a comment instructing you to synchronise it with async_stop in homeassistant/core.py, so a shutdown change in the Python code and a number in the image recipe have to move together.

Official sources

  1. Official documentation
  2. Official README
  3. Project repository
  4. Release notes
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