semvec/pypi-packages huggingface dataset:
pysparks 0.1.1
Software for Polymerization and Reaction Kinetics Simulations
License: MIT
Requires Python: >=3.10

# SPARKS - Software for Polymerization and Reaction Kinetics Simulations

**SPaRKS** is a highly-modular framework for deterministic and stochastic simulations of polymerization and general reaction kinetics. It provides a unified interface to define and compare models and simulators, and parameter estimation. Written in Python.

[![PyPI](https://badge.fury.io/py/pysparks.svg)](https://badge.fury.io/py/pysparks)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17172057.svg)](https://doi.org/10.5281/zenodo.17172057)
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## Quick install
The easiest way to install **SPaRKS** is via pip:

```shell
pip3 install pysparks
```

We recommend setting a python virtual environment **before** installing the package.
```shell
python3 -m venv .venv
source .venv/bin/activate
```

## Examples

There are jupyter notebooks in the [docs/notebooks](docs/notebooks/) directory. More relevant examples can be found at the supporting data for the manuscript below. This can be found at [this repository](https://github.com/devoncallan/ReversibleCopolymerizations): [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17172075.svg)](https://doi.org/10.5281/zenodo.17172075)

## How to Cite

**Citeable DOI for this version of SPaRKS:** [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17172057.svg)](https://doi.org/10.5281/zenodo.17172057)

If you use SPaRKS in your project, please cite
* Callan, D. H., and Bates, C. M. Efficient Deterministic Modeling of Reversile Copolymerizations, *Macromolecules*, **2025**, [doi:10.1021/acs.macromol.5c01421](https://doi.org/10.1021/acs.macromol.5c01421)
digraphx 0.2
Network Optimization Python Code
License: MIT

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# 🔀 digraphx

> Directed Graph X in Python

A longer description of your project goes here...

## Dependencies

- [luk036/mywheel](https://github.com/luk036/mywheel)
- networkx

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