Data access & tools · Analysis toolkit
RapidHRV
Python wearable data analysis toolkit
What is RapidHRV?
RapidHRV is a Python package for preprocessing, analyzing and visualizing cardiac data. It extracts heart rate and heart rate variability from a sampled signal and returns results as a pandas DataFrame. It is described in Kirk et al., PeerJ 2022 (doi 10.7717/peerj.13147).
RapidHRV at a glance
- Type
- Analysis toolkit
- Devices supported
- Device-agnostic: works on sampled cardiac signal arrays.
- Open source
- Yes
- Signals
- Category
- Signal processing
- Domains
- HRV, RR/IBI series
- Language
- Python
- Licence
- MIT
- Commercial use
- yes
- Maintenance
- Last commit 1 to 3 years ago (as of Oct 21, 2026)
- Last commit
- Sep 4, 2025
- Repository
- Not archived
Code & repos
Where these facts come from
Checked on Nov 9, 2026 against the project’s own pages:
Related open-source tools
Other Wearable Signal Tools that share a signal with RapidHRV.
Questions about RapidHRV
What is RapidHRV used for?
RapidHRV is a Python package for preprocessing, analyzing and visualizing cardiac data. It extracts heart rate and heart rate variability from a sampled signal and returns results as a pandas DataFrame. It is described in Kirk et al., PeerJ 2022 (doi 10.7717/peerj.13147). ChatPPG lists it as a analysis toolkit.
Which devices does RapidHRV support?
Device-agnostic: works on sampled cardiac signal arrays.
Is RapidHRV open source?
Yes. Licence: MIT.
Is RapidHRV still maintained?
Its repository's last commit was on Sep 4, 2025 (checked Nov 9, 2026).
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.