head to head · open source
frigate vs ha_washdata
frigate has 36,856 GitHub stars, 3,741 forks, 95 open issues and last shipped 2 days ago. ha_washdata has 1,383 stars, 45 forks, 9 open issues and last shipped 2 days ago. frigate leads on adoption by 2,565% (36,856 vs 1,383 stars). frigate is written in Python under MIT; ha_washdata is written in Python under AGPL-3.0. frigate has attracted 10% as many forks as stars, ha_washdata 3%. ha_washdata 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 | ha_washdata | |
|---|---|---|
| GitHub stars | ★ 37K | ★ 1.4K |
| License | MIT | AGPL-3.0 |
| Written in | Python | Python |
| Last push | 2026-10-23 | 2026-10-23 |
| Forks | ⑂ 3.7K | ⑂ 45 |
| 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 ha_washdata if
- You want the ha_washdata feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Python
- You evaluated both and ha_washdata 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 ha_washdata
WashData A Home Assistant integration that watches an appliance through its smart plug. It detects each cycle, recognises which program ran from the power curve, and tells you how long is left. Works with washing machines, dryers, washer dryers, dishwashers, air fryers, bread makers and pumps. Two catch all types cover the rest: Other (Advanced) (full program matching) and Threshold Device (on/off detection only). [!CAUTION] Electrical safety. A plug on a washer, dryer or dishwasher carries the full heating load for hours. It must be rated in watts at your mains voltage for the appliance's peak power, often over…
read the full ha_washdata overview →
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Frequently asked questions
Is frigate or ha_washdata more popular?
frigate has 36,856 GitHub stars and ha_washdata has 1,383. frigate has the larger community by that measure.
Are frigate and ha_washdata free?
Both are open source. frigate is licensed under MIT and ha_washdata under AGPL-3.0. Neither carries a licence fee.
What is the difference between frigate and ha_washdata?
frigate is written in Python and ha_washdata 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 ha_washdata?
Choose frigate if you want the larger community (36,856 stars) or its MIT licence terms. Choose ha_washdata if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.