Skip to main content

digital health measurement

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

openwillis-3.0.0.tar.gz (2.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

openwillis-3.0.0-py3-none-any.whl (2.4 kB view details)

Uploaded Python 3

File details

Details for the file openwillis-3.0.0.tar.gz.

File metadata

  • Download URL: openwillis-3.0.0.tar.gz
  • Upload date:
  • Size: 2.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.12

File hashes

Hashes for openwillis-3.0.0.tar.gz
Algorithm Hash digest
SHA256 2fff0881a087a9efbe3e1961ce5dcdd2de7d8b7f71f76719e2ec40073582d17a
MD5 48228ab03b7df8622db1bf81d070a46e
BLAKE2b-256 f6023948600dc3c1a53b26a9b2d52caa940fc74d83acb1d9b0aae38d7722c01c

See more details on using hashes here.

File details

Details for the file openwillis-3.0.0-py3-none-any.whl.

File metadata

  • Download URL: openwillis-3.0.0-py3-none-any.whl
  • Upload date:
  • Size: 2.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.12

File hashes

Hashes for openwillis-3.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 fb826de7149991cf1a2eed33a460266a61ffc751f8cd098f2fef652c6ab675f0
MD5 fc7628ff3bb16422ef4a507936cdcfa6
BLAKE2b-256 1f9aefb0809c621bd2b945b909abf0fa8be31487238b124fe76fc6ecedbb8749

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page