ViolaWake vs Snowboy
Quick answer: what is the best Snowboy replacement?
Use ViolaWake for new Snowboy-style projects that need custom wake words, local inference, Python, ONNX, and an Apache 2.0 SDK. Snowboy remains useful historical context, but KITT.AI announced that official products and APIs would shut down by December 31, 2020.
Summary table
| Category | ViolaWake | Snowboy |
|---|---|---|
| Maintenance state | Active product and SDK | Official products and APIs shut down after 2020 announcement |
| SDK license | Apache 2.0 SDK and training code | Apache 2.0 for source, libraries, resource files, and bundled snowboy.umdl; other hotword models have separate licenses |
| Model format | ONNX wake head plus OpenWakeWord backbone | Snowboy .pmdl/.umdl files |
| Training workflow | Browser Console and CLI | Legacy Hotword-as-a-Service API path |
| Runtime network | No runtime API key or phone-home | README says Snowboy did not use Internet or stream voice to cloud |
| Best fit today | New custom wake word projects | Maintaining legacy devices that already work |
Comparison checked as of 2026-05-08. Competitor claims are linked in Verified claims.
Why Snowboy still appears in search
Snowboy solved a real developer problem: local hotword detection for Raspberry Pi, Python, and small-device projects. Old tutorials still rank because Snowboy was simple, practical, and available when local voice ML was harder to assemble.
That history creates a risk for new projects. The Snowboy README says KITT.AI planned to shut down Snowboy, NLU, and Chatflow by December 31, 2020, take down official websites and APIs, and leave GitHub repositories open with community support only. Treat Snowboy as a migration source, not a fresh dependency choice.
What this means for new projects
If you are starting a device, kiosk, assistant, robot, or home automation project, use maintained wake-word tooling. You need reproducible training, current Python support, clear packaging, evaluation metrics, and a path to fix false alarms after deployment.
ViolaWake is built for that path. It trains ONNX wake heads, uses an OpenWakeWord embedding backbone, and exposes a Python SDK. The hosted Console captures samples and trains models; the local detector does not require runtime cloud inference.
License and model compatibility
Snowboy's license surface is specific. The LICENSE file says it governs the source code, libraries, resource files, and bundled snowboy/resources/snowboy.umdl model. Other hotword models have their own licenses. If you inherited a custom .pmdl or .umdl, verify distribution rights before shipping it again.
ViolaWake does not convert Snowboy model files. Migration means retraining. The valuable assets are the wake phrase, known false-trigger phrases, sample collection process, and deployment audio. Reuse that knowledge, then produce a new ONNX model.
Migration guide from Snowboy to ViolaWake
- Identify the wake phrase and deployment hardware.
- Collect fresh positive samples as 16 kHz mono WAV or FLAC.
- Add negative audio: normal speech, music, device noise, room noise, and similar-sounding phrases.
- Train with the ViolaWake Console or CLI.
- Evaluate EER, FAR, FRR, recall, and streaming false alarms per hour.
- Tune the threshold on the target device.
- Replace Snowboy runtime calls with ViolaWake WakeDetector calls.
Raspberry Pi considerations
Snowboy's README says it ran on Raspberry Pi and consumed less than 10% CPU on a single-core 700 MHz ARMv6 Pi. ViolaWake takes the modern route: ONNX runtime inference with a 102 KB wake head and shared OpenWakeWord backbone.
Test the new model on the exact Pi, microphone, enclosure, and room you plan to ship. Run idle listening near fans, speakers, keyboards, televisions, and HVAC noise. Then test wake attempts from normal speaking distance and count misses.
Accuracy and false alarms
Do not migrate by matching a Snowboy sensitivity number to a ViolaWake threshold. The scales are different. Use behavior instead: long idle audio for false triggers, real wake attempts for misses, and separate thresholds for noisy and quiet deployments if needed.
ViolaWake provides EER, FAR, FRR, ROC AUC, d-prime, and streaming false-alarm checks. Those metrics are more useful than a single tutorial recording.
Common migration traps
Avoid these mistakes:
- Do not assume the old Snowboy training API is available.
- Do not ship a model that heard one speaker in one room.
- Do not evaluate only on silence.
- Do not skip similar phrases.
- Do not carry forward a legacy model file without checking its license.
When to keep Snowboy
Keep Snowboy only when an old offline device already works, has no update plan, and has acceptable support risk. Migrate when you need new model training, modern Python packaging, source transparency, repeatable evaluation, or a maintained SDK.
Verified claims
- KITT.AI announced on March 18, 2020 that Snowboy and other products would shut down by December 31, 2020, with repositories remaining open for community support. Source: Snowboy GitHub README. Verified 2026-05-08.
- Snowboy README says Snowboy did not use Internet or stream voice to the cloud. Source: Snowboy GitHub README. Verified 2026-05-08.
- Snowboy README says it ran on Raspberry Pi and consumed less than 10% CPU on the weakest Pi, described as single-core 700 MHz ARMv6. Source: Snowboy GitHub README. Verified 2026-05-08.
- Snowboy README lists Python2/Python3 wrappers and says Windows was not supported. Source: Snowboy GitHub README. Verified 2026-05-08.
- Snowboy LICENSE says it covers source code, libraries, resource files, and snowboy/resources/snowboy.umdl; other hotword models have their own licenses. Source: Snowboy LICENSE. Verified 2026-05-08.
FAQ
Is Snowboy still maintained?
No. The Snowboy README says KITT.AI planned to shut down official products and APIs by December 31, 2020, leaving GitHub repositories open with community support.
Can ViolaWake replace Snowboy on Raspberry Pi?
Yes for Python and ONNX-based wake word projects. Snowboy model files are not directly compatible, but the migration path is to collect samples and train a new ViolaWake ONNX model.
Keep exploring
Comparison information accurate as of 2026-05-08. Picovoice and Porcupine are trademarks of Picovoice Inc.; OpenWakeWord is a project of David Scripka; Snowboy was a trademark of Kitt.AI (acquired by Baidu, deprecated 2020). All trademarks belong to their respective owners and are used here for nominative comparison only. ViolaWake is not affiliated with, endorsed by, or sponsored by these projects or companies. Report inaccuracies to [email protected].