Wearable Signal Tools · Signal processing
pyPPG
Python toolbox for PPG fiducials, features and signal quality
What is pyPPG?
pyPPG is an open-source Python toolbox for photoplethysmography analysis. It detects fiducial points on the PPG and its derivatives (systolic and diastolic peaks, dicrotic notch, APG a–e waves), extracts per-beat morphological biomarkers and computes a signal-quality index. It is published in Physiological Measurement (2024) and installable from PyPI.
Commercial use: no. Licence: GPL-3.0. Shown as recorded for this project; read the licence before any commercial use.
pyPPG at a glance
- Signals
- Category
- Signal processing · also signal quality
- Language
- Python (GitHub's language detector reports MATLAB for the repo)
- Licence
- GPL-3.0
- Commercial use
- no
- Maintenance
- Last commit 1 to 3 years ago (as of Oct 21, 2026)
- Last commit
- Apr 28, 2025
Is pyPPG in the ChatPPG research hub?
Yes. These research pages cover the same project:
Related open-source tools
Other Wearable Signal Tools that share a signal with pyPPG.
Summary, licence and commercial-use fields are shown as recorded for this project. Maintenance is computed from the last commit date. Check the project’s own repository for its current licence and status.