Metadata-Version: 2.4
Name: jmarkov
Version: 0.3.5
Summary: A python package for Markov chain modeling
Project-URL: homepage, https://github.com/copa-uniandes/jmarkov
Project-URL: documentation, https:/https://jmarkov.readthedocs.io/en/latest/
Project-URL: source, https://github.com/copa-uniandes/jmarkov
Project-URL: download, https://pypi.org/project/jmarkov/
Project-URL: tracker, https://github.com/copa-uniandes/jmarkov/issues
Author-email: Juan F Perez <juanfernando.perez@gmail.com>, Maria-Gabriela Urango <m.urango@uniandes.edu.co>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: typing
Description-Content-Type: text/markdown

# jmarkov
jMarkov is a library to simplify the modeling of systems with Markov chains.

With jmarkov it is possible to model
- Continuous-time Markov chains (CTMCs)
- Discrete-time Markov chains (DTMCs)
- Infinite and finite Birth-Death processes (BDs)
- Queueing systems
- Markov decision processes (MDPs)
- Stochastic dynamic programs (SDPs)

To use it you can install it from pypi with the command
```bash
pip install jmarkov
```

You can find the documentation on how to use it [here](https://jmarkov.readthedocs.io/en/latest/)
