Wearable Signal Tools · Signal processing
AntroPy
Python signal processing toolbox for physiological and wearable data
What is AntroPy?
AntroPy is a Python package for computing entropy and complexity measures of time series, such as sample entropy, permutation entropy and fractal dimensions, often used on HRV and EEG data.
AntroPy at a glance
- Signals
- Multi-signal
- Category
- Signal processing
- Domains
- complexity
- Language
- Python
- Licence
- BSD-3-Clause
- Commercial use
- yes
- Maintenance
- Commit in the last 12 months (as of Oct 21, 2026)
- Last commit
- Oct 17, 2026
Related open-source tools
Other Wearable Signal Tools that share a signal with AntroPy.
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.