Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (19.1%) to scientific vocabulary
Keywords
Repository
The official PySCeS project source code repository.
Basic Info
- Host: GitHub
- Owner: PySCeS
- License: other
- Language: Python
- Default Branch: main
- Homepage: https://pysces.github.io
- Size: 10.5 MB
Statistics
- Stars: 39
- Watchers: 3
- Forks: 11
- Open Issues: 7
- Releases: 15
Topics
Metadata Files
README.md
PySCeS - Python Simulator for Cellular Systems
PySCeS is a flexible, user-friendly tool for the analysis of cellular systems. For more information please see https://pysces.github.io/
Table of contents
- Introduction
- Installation
- Getting help
- Citing PySCeS
- Contributing
- Licence
- Authors and acknowledgments
Introduction
Computer modelling has become an integral tool in the analysis and understanding of the reaction networks that underlie cellular processes. PySCeS, first released in 2003, is extremely flexible, user-extensible, open source, software actively used and developed by a community of researchers and developers.
Features
- Simulate your time courses with solvers like LSODA and CVODE.
- Efficiently determine steady states using a selection of non-linear, root-finding algorithms (e.g. HYBRD, NLEQ2).
- Use Metabolic Control Analysis (MCA) to investigate control and regulation of cellular systems (elasticities, flux- and concentration-control and response coefficients).
- Auto-generate the stoichiometric matrix and perform structural analysis, determine nullspaces and reduced stoichiometric and MCA matrices.
- Investigate systems which exhibit multiple (stable and unstable) steady-state solutions using a PITCON-based bifurcation analysis module.
- Define models with a human-readable Model Description Language.
- Use the full power of Python available to test, build and share your modelling experiments.
- User-friendly methods for generating and 1-, 2- and n-dimensional parameter scans.
- Distributed parameter scanning with the ParScanner module within the ipyparallel framework.
- Visualise results of simulations with flexible Matplotlib and Gnuplot interfaces.
- PySCeS supports open community standards for model exchange (SBML) and archiving (SEDML, OMEX).
Installation
PySCeS releases are available on PyPI, Anaconda.org and Github
PySCeS binaries are available for Python 3.9+ on Windows, Linux and OSX and can be installed using
PyPI
bash
pip install pysces
Anaconda.org
bash
conda install -c conda-forge -c pysces pysces
Building from source
PySCeS requires a Python 3 development environment as well as C++ and FORTRAN compilers to build. For more information please see the INSTALL instructions.
Getting help
We currently encourage users to ask questions and request support using a GitHub issue.
General information on PySCeS can be found on the website and extensive documentation on installing, configuring and using PySCeS is available on pyscesdocs.readthedocs.io.
Citing PySCeS
Publication
Brett G. Olivier, Johann M. Rohwer and Jan-Hendrik S. Hofmeyr, Modelling cellular systems with PySCeS, Bioinformatics, Volume 21, Issue 4, 15 February 2005, Pages 560–561, https://doi.org/10.1093/bioinformatics/bti046
Published code releases
PySCeS releases are archived on Zenodo.
Contributing
Primary development is on GitHub, feel free to fork and submit pull requests! Want to
add new code to PySCeS, go
Licence
PySCeS is distributed as Open Source software under a BSD style licence, please see LICENCE.txt for details. The licences of software that is bundled with, or used by, PySCeS are available in ADDITIONAL_LICENCES.md.
Authors and acknowledgments
PySCeS main authors are Brett Olivier and Johann Rohwer and in particular, PySCeS founding father Jannie Hofmeyr.
We would also like to acknowledge everyone who has contributed to PySCeS and would like to thank the following (in alphabetical order):
- Evert Bosdriesz
- James Dominy
- Jannie Hofmeyr
- Morgan Hough
- Jonathan Karr
- Ruchir Khandelwal
- Charl Moller
- Danie Palm
- Herbert Sauro
- Lafras Uys
This information can also be found in CONTRIBUTORS.md In addition we would like to acknowledge financial support from the following funding organisations:
- The South African National Bioinformatics Network (2003-2008)
- The South African National Research Foundation (2000-2004)
© Brett G. Olivier & Johann M. Rohwer, February 2024
Owner
- Name: PySCeS: The Python Simulator for Cellular Systems, provides a variety of tools for the analysis of cellular systems
- Login: PySCeS
- Kind: organization
- Location: Amsterdam, The Netherlands and Stellenbosch, South Africa
- Website: http://pysces.sourceforge.net/
- Repositories: 6
- Profile: https://github.com/PySCeS
The Python Simulator for Cellular Systems
Citation (CITATION.cff)
# YAML 1.2
---
cff-version: "1.2.0"
message: "If you use this software, please cite it using the information provided in this metadata."
authors:
-
given-names: Brett
family-names: Olivier
affiliation: "Vrije Universiteit Amsterdam"
orcid: "https://orcid.org/0000-0002-5293-5321"
-
given-names: Johann
family-names: Rohwer
affiliation: "Stellenbosch University"
orcid: "https://orcid.org/0000-0001-6288-8904"
title: "The Python Simulator for Cellular Systems: PySCeS"
version: "1.2.3"
repository-code: "https://github.com/PySCeS/pysces/tree/1.2.3"
date-released: 2025-05-07
doi: "10.5281/zenodo.2600905"
license: "BSD-3-Clause"
url: https://pysces.github.io
abstract: "Computer modelling has become an integral tool in the analysis and understanding
of the reaction networks that underlie cellular processes. PySCeS, first released in 2003,
is extremely flexible, user-extendable, open source, software actively used and developed
by a community of researchers and developers."
...
GitHub Events
Total
- Create event: 2
- Issues event: 1
- Release event: 1
- Watch event: 4
- Delete event: 2
- Issue comment event: 6
- Push event: 75
- Pull request review event: 1
- Pull request event: 6
- Fork event: 1
Last Year
- Create event: 2
- Issues event: 1
- Release event: 1
- Watch event: 4
- Delete event: 2
- Issue comment event: 6
- Push event: 75
- Pull request review event: 1
- Pull request event: 6
- Fork event: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 64
- Total pull requests: 40
- Average time to close issues: 10 months
- Average time to close pull requests: 18 days
- Total issue authors: 11
- Total pull request authors: 6
- Average comments per issue: 3.81
- Average comments per pull request: 2.83
- Merged pull requests: 34
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 6
- Average time to close issues: N/A
- Average time to close pull requests: about 3 hours
- Issue authors: 1
- Pull request authors: 3
- Average comments per issue: 0.0
- Average comments per pull request: 2.33
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- bgoli (20)
- jonrkarr (13)
- jmrohwer (13)
- yurivict (8)
- exe0cdc (3)
- olledejong (2)
- StephanM87 (1)
- elofgren (1)
- matthiaskoenig (1)
- ortega2247 (1)
- mhucka (1)
Pull Request Authors
- jmrohwer (23)
- bgoli (11)
- lowkeyrossi (2)
- Greenie0701 (2)
- c-barry (1)
- katrinleinweber (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 889 last-month
- Total dependent packages: 2
- Total dependent repositories: 8
- Total versions: 27
- Total maintainers: 2
pypi.org: pysces
The Python Simulator for Cellular Systems - simulation and analysis tools for modelling biological systems
- Documentation: https://pysces.readthedocs.io/
- License: BSD 3-Clause
-
Latest release: 1.2.3
published 10 months ago
Rankings
Dependencies
- assimulo >=3.2
- biopython *
- ipython *
- jupyter *
- matplotlib *
- nose *
- numpy >=1.19.1
- pip *
- pyparsing *
- pytest *
- python =3.8
- python-libsbml >=5.18.0
- scipy >=1.5.2
- setuptools *
- sympy *
- wheel *
- matplotlib *
- nose *
- numpy *
- scipy *
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- actions/upload-artifact v3 composite
- s-weigand/setup-conda v1 composite
- actions/checkout v3 composite
- actions/download-artifact v3 composite
- actions/setup-python v3 composite
- actions/upload-artifact v3 composite
- pypa/cibuildwheel v2.9.0 composite
- pypa/gh-action-pypi-publish release/v1 composite