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-0.1.3.tar.gz
(61.2 kB
view details)
Built Distribution
File details
Details for the file py_replay_bg-0.1.3.tar.gz.
File metadata
- Download URL: py_replay_bg-0.1.3.tar.gz
- Upload date:
- Size: 61.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d8785528811ec9b15dc1dd98430f1a5e23f61e71af7cd9f78224430349e46f29 |
|
| MD5 | e4a9aef345ba0f0c647c0b26a01e36bc |
|
| BLAKE2b-256 | d6d5e15e6ff3042d245d0136b074573f742bce9cffcd2b689345fd3657f937bc |
File details
Details for the file py_replay_bg-0.1.3-py3-none-any.whl.
File metadata
- Download URL: py_replay_bg-0.1.3-py3-none-any.whl
- Upload date:
- Size: 70.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c3f57bf980d5131eddd34d9cec8cddf96e226e53061242d25bbc7bf126ea8c16 |
|
| MD5 | 8c46d50d6d812b4ac194c13b44b6d904 |
|
| BLAKE2b-256 | 8af3f032247c5e81d62ca91f9de824dc8aa337d87de620acd232de8cbc9ea037 |
