dscripka/openWakeWord

Trend Velocity Score: 0.00
Opportunity Score: 25.00
Confidence Score: 100.00
Language: <a class="text-blue-600 dark:text-blue-400 hover:underline" href="/languages/Jupyter Notebook">Jupyter Notebook
License: Apache-2.0
First Seen: 4 months ago

Worth installing(Strong adoption and recent activity)

An open-source audio wake word (or phrase) detection framework with a focus on performance and simplicity.

Why this repo matters

Growing adoption and recent updates indicate active development and community interest.
Offers a performant, simple framework for wake word detection with pre-trained models.
Supports training new models, including a Colab notebook for ease of use.

2.8k stars+366 over 40 snapshots6/17/2026 – 9/14/2026

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