ReplayBG is a digital twin-based methodology to assess new strategies for type 1 diabetes management.
Project description
PyReplayBG
The official Python porting of the ReplayBG software: https://github.com/gcappon/replay-bg/.
ReplayBG is a digital twin-based methodology to assess new strategies for type 1 diabetes management.
Reference
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
py_replay_bg-0.0.5.tar.gz
(48.3 kB
view details)
Built Distribution
File details
Details for the file py_replay_bg-0.0.5.tar.gz.
File metadata
- Download URL: py_replay_bg-0.0.5.tar.gz
- Upload date:
- Size: 48.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9297b9c6cdd12a178d31ecccc702f427553672851e68efb08af94b146a4dfcd9 |
|
| MD5 | 2b8c710d373b5eecc4ac952af03945e1 |
|
| BLAKE2b-256 | bb67995d1e36dd4197845b2b569fcbfd9194b17a5da8a1f8b963447b662b0bf1 |
File details
Details for the file py_replay_bg-0.0.5-py3-none-any.whl.
File metadata
- Download URL: py_replay_bg-0.0.5-py3-none-any.whl
- Upload date:
- Size: 51.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0aee68fbfcf7f5f277d9cb4a791fb27e50ced577d678459e2f5030cc0ecae39b |
|
| MD5 | 6af0409e3841abc37a342f762de10f10 |
|
| BLAKE2b-256 | 61256bc9cbf993581addec5657c908dad19bf47a8f6a4e8aaefc383b04b76684 |
