head to head · open source
frigate vs yandex_smart_home
frigate has 37,160 GitHub stars, 3,782 forks, 95 open issues and last shipped yesterday. yandex_smart_home has 1,092 stars, 141 forks, 11 open issues and last shipped 2 months ago. frigate leads on adoption by 3,303% (37,160 vs 1,092 stars). frigate is written in Python under MIT; yandex_smart_home is written in Python under MIT. frigate has attracted 10% as many forks as stars, yandex_smart_home 13%. frigate was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (home-assistant), 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 | yandex_smart_home | |
|---|---|---|
| GitHub stars | ★ 37K | ★ 1.1K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-09-02 |
| Forks | ⑂ 3.8K | ⑂ 141 |
| 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 yandex_smart_home if
- You want the yandex_smart_home feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and yandex_smart_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 yandex_smart_home
Компонент Yandex Smart Home для Home Assistant Компонент позволяет добавить устройства из Home Assistant в платформу умного дома Яндекса и управлять ими с любого устройства с Алисой: Умные колонки и Телевизоры (Яндекс Станция и другие) Мобильное приложение Дом с Алисой А так же в умный дом от VK и управлять ими с любого устройство с Марусей (с версии 1.0.0): Колонки VK Капсула Мобильное приложение Маруся Веб приложение Умный дом с Марусей Компонент работает на Home Assistant версии 2025.12 или новее. Ссылки Документация 1.1.x Документация 1.0.x Документация 0.6.x Чат в Телеграме
read the full yandex_smart_home overview →
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Frequently asked questions
Is frigate or yandex_smart_home more popular?
frigate has 37,160 GitHub stars and yandex_smart_home has 1,092. frigate has the larger community by that measure.
Are frigate and yandex_smart_home free?
Both are open source. frigate is licensed under MIT and yandex_smart_home under MIT. Neither carries a licence fee.
What is the difference between frigate and yandex_smart_home?
frigate is written in Python and yandex_smart_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 yandex_smart_home?
Choose frigate if you want the larger community (37,160 stars) or its MIT licence terms. Choose yandex_smart_home if its feature set, stack or MIT licence fits better. Both are self-hostable.