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Python implementation of the Loop algorithm

Project description


A set of Python tools for building closed-loop insulin delivery apps (Python port of LoopKit)

Sample Prediction Figure from PyLoopKit

Link to Tidepool Loop repository version used for algorithm

Link of Tidepool LoopKit repository version used for algorithm

To use this project

Please review the documentation for usage instructions, input data requirements, and other important details.

To recreate the Virtual Environment

  1. This environment was developed with Anaconda. You'll need to install Miniconda or Anaconda for your platform.
  2. In a terminal, navigate to the directory where the environment.yml is located (likely the PyLoopKit folder).
  3. Run conda env create; this will download all of the package dependencies and install them in a virtual environment named py-loop. PLEASE NOTE: this may take up to 30 minutes to complete.

To use the Virtual Environment

In Bash run source activate py-loop, or in the Anaconda Prompt run conda activate py-loop to start the environment.

Run deactivate to stop the environment.

Project details

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Source Distribution

pyloopkit-test-0.0.15.tar.gz (63.7 kB view hashes)

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