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OpenWillis is a python library for digital health measurement.

It was developed by Brooklyn Health to establish standardized methods in digital phenotyping and make them open and accessible to the scientific community.

It is freely available for non-commercial use (see license).

  1. Release notes
  2. Getting started
  3. List of functions
  4. Research guidelines
  5. Contribution guidelines

Please use the following reference when reporting work that has used OpenWillis: Worthington, M., Efstathiadis, G., Yadav, V., & Abbas, A. (2024). 172. OpenWillis: An Open-Source Python Library for Digital Health Measurement. Biological Psychiatry, 95(10), S169-S170.

Please report any issues using the Issues tab.

If you’d like to contribute to OpenWillis or have general questions, please get in touch.