Skip to main content

Software for Polymerization and Reaction Kinetics Simulations

Project description

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 DOI Python

Quick install

The easiest way to install SPaRKS is via pip:

pip3 install pysparks

We recommend setting a python virtual environment before installing the package.

python3 -m venv .venv
source .venv/bin/activate

Examples

There are jupyter notebooks in the docs/notebooks directory. More relevant examples can be found at the supporting data for the manuscript below. This can be found at this repository: DOI

How to Cite

Citeable DOI for this version of SPaRKS: DOI

If you use SPaRKS in your project, please cite

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pysparks-0.1.0.tar.gz (35.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pysparks-0.1.0-py3-none-any.whl (45.9 kB view details)

Uploaded Python 3

File details

Details for the file pysparks-0.1.0.tar.gz.

File metadata

  • Download URL: pysparks-0.1.0.tar.gz
  • Upload date:
  • Size: 35.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pysparks-0.1.0.tar.gz
Algorithm Hash digest
SHA256 fa849b92c56cfe067f6f10d4709aaea1a7ca1ac49924d721d27c3110ba48fa7b
MD5 5014826c23da36eebd7eb9650ce9f06f
BLAKE2b-256 1a851341794de6e4c919713e5239cad1e13518704a522be0f290def1d87d31d4

See more details on using hashes here.

File details

Details for the file pysparks-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: pysparks-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 45.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pysparks-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 fdb54a42172957f852abb5ed16a58f74583414920da1b9b1b316d0dc625fb26b
MD5 27acad7f9f0971d4f80c90646ce1ffe5
BLAKE2b-256 8cfe61c6ad2818f5f8f0ca4f4e9c18d942e7d3e837f8eface4c6476a59200105

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page