Python toolkit for parsing and analyzing multi-sensor OpenEarable recordings.
pip install open-earable-pythonFor local development:
git clone https://github.com/OpenEarable/open-earable-python.git
cd open-earable-python
python -m venv .venv
source .venv/bin/activate
pip install -e .from open_earable_python import SensorDataset
dataset = SensorDataset("recording.oe")
# Combined time-indexed DataFrame of all parsed sensors
df = dataset.get_dataframe()
# Per-sensor views
imu_df = dataset.imu.df
ppg_red = dataset.ppg["ppg.red"]
audio_df = dataset.get_audio_dataframe()MIT. See LICENSE.