Wearable Signal Tools · Signal processing
FLIRT
Python signal processing toolbox for EDA signals (stress, HRV)
What is FLIRT?
FLIRT is a Python toolkit for processing wearable data, with feature extraction for heart rate variability, electrodermal activity and accelerometer signals, for example from Empatica devices.
FLIRT at a glance
- Signals
- Category
- Signal processing · also preprocessing
- Domains
- stress, HRV
- Language
- Python
- Licence
- MIT
- Commercial use
- yes
- Maintenance
- Last commit 1 to 3 years ago (as of Oct 21, 2026)
- Last commit
- Nov 6, 2023
Related open-source tools
Other Wearable Signal Tools that share a signal with FLIRT.
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.