Simulation of Biological Systems
Project description
SimBio
simbio
is a Python-based library of biological systems simulation.
As a comparison with other libraries we can enumerate:
- Models are composables, so you can create bigger models using smaller ones
- Models are python classes, so it is easier to understand the inners and easy to compose into bigger models
- Posibility to do
numba
JIT compilation - Small footprint library, can be imported on a bigger application without fuzz
Installation
If you are using pip, it can be installed directly from PyPI:
pip install simbio
or the latest version from GitHub:
pip install git+https://github.com/hgrecco/simbio
Examples
On the folder src/simbio/tests/examples
,
we included some examples for the library usage.
Development
We are using pytest for testing, and pre-commit hooks to format and lint the codebase.
To easily set-up a development environment, run the following commands:
git clone https://github.com/hgrecco/simbio
cd simbio
conda env create --file environment-dev.yml
pre-commit install
which assume you have git and conda preinstalled.
Project details
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
Built Distribution
File details
Details for the file SimBio-0.2.0.tar.gz
.
File metadata
- Download URL: SimBio-0.2.0.tar.gz
- Upload date:
- Size: 35.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ac07dbd764c89c03b4ff2cf677c88f87b502a8b87955d38e34e724a4b529120e |
|
MD5 | ca231ea7921ac3f4423af6dadecfeabb |
|
BLAKE2b-256 | 7fcdada42bdb6c877f771169e853041da9c550018db740f4ee132dfff0779a0a |
File details
Details for the file SimBio-0.2.0-py3-none-any.whl
.
File metadata
- Download URL: SimBio-0.2.0-py3-none-any.whl
- Upload date:
- Size: 24.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6949ac758e3785204d81c6993e24f84e18a44f8610fa527e4bd5ec1b3899f7ff |
|
MD5 | aed04b0cf808ad10ba5d6f7b19c67f82 |
|
BLAKE2b-256 | 5a4b53116e4a05e5d28966de9f8ba316acd2eae8895089d062463b608a6bc014 |