Wearable Signal Tools · Signal processing
TSFEL
Python signal processing toolbox for physiological and wearable data (activity recognition)
What is TSFEL?
TSFEL is a Python library for time series feature extraction with more than 60 statistical, temporal, spectral and fractal features, widely used on sensor and biosignal data.
TSFEL at a glance
- Signals
- Multi-signal
- Category
- Signal processing
- Domains
- features, activity recognition
- Language
- Python
- Licence
- BSD-3-Clause
- Commercial use
- yes
- Maintenance
- Commit in the last 12 months (as of Oct 21, 2026)
- Last commit
- Sep 15, 2026
Related open-source tools
Other Wearable Signal Tools that share a signal with TSFEL.
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.