StochPy release 2.5

StochPy release 2.5

We are pleased to announce the release of StochPy 2.5. StochPy is a versatile stochastic modelling package which is designed for stochastic simulation of molecular control networks. Many thanks to the community contributions (see below) which have made this release possible and include:

• updated setup and build configuration compatible with newer versions of setuptools
• updated codebase to support Python versions 3.9 - 3.12+
• updated numpy compatibility

Author information

Timo R. Maarleveld, Brett G. Olivier, and Frank J. Bruggeman
Centrum Wiskunde en Informatica, Amsterdam, Netherlands
Vrije Universiteit University, Amsterdam, Netherlands

If you use StochPy please cite this publication:

StochPy: A Comprehensive, User-Friendly Tool for Simulating Stochastic Biological Processes
http://dx.doi.org/10.1371/journal.pone.0079345

Major code contributors to the StochPy codebase

• Brett G. Olivier (@bgoli)
• Catharina Meyer

Community contributions for release 2.5

• Modernization by @V-DeVito in #9
• Removed unused code, removed print statements. by @zesloth in #10

New Contributors release 2.5

• @V-DeVito made their first contribution in #9

Full Changelog: v2.4.0...v2.5.0

Licence

Copyright (c) 2011-2025, Timo R. Maarleveld, Brett G. Olivier, and Frank J. Bruggeman
Vrije Universiteit Amsterdam. All rights reserved.

StochPy is open source software distributed under the BSD 3-Clause License see LICENSE file for more details.

StochPy version 2.4 refresh release

StochPy release 2.4

We are pleased to announce the first GitHub release of StochPy, now updated to be Python 3.7+ compatible. StochPy is a versatile stochastic modelling package which is designed for stochastic simulation of molecular control networks.

Many thanks to the community contributions made by @zesloth, @enricozb and @developerfab.

Author information

Timo R. Maarleveld, Brett G. Olivier, and Frank J. Bruggeman
Centrum Wiskunde en Informatica, Amsterdam, Netherlands
Vrije Universiteit University, Amsterdam, Netherlands

Major code contributors to the StochPy codebase

• Brett G. Olivier (@bgoli)
• Catharina Meyer

If you use StochPy please cite this publication:

StochPy: A Comprehensive, User-Friendly Tool for Simulating Stochastic Biological Processes
http://dx.doi.org/10.1371/journal.pone.0079345

Licence

Copyright (c) 2011-2021, Timo R. Maarleveld, Brett G. Olivier, and Frank J. Bruggeman
Vrije Universiteit Amsterdam. All rights reserved.
StochPy is open source software distributed under the BSD 3-Clause License see LICENSE file for more details.