Package · PyPI
PyPI · v2.0.3 · MIT
Fast inference for CrisperWhisper speech recognition models
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
pip install crisperwhisperPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
Controllable Transcription. Verbatim ( every, filler, pause, stutter, vocal sound) , or intended ( what the speaker meant to say, optimized for readability) with word-level timestamps.
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
>=0.20>=1.26>=0.12>=0.3>=0.15No published news event mentions this package or its repository yet.