Metadata-Version: 2.1
Name: salabim
Version: 24.0.2
Summary: discrete event simulation in Python
Home-page: https://github.com/salabim/salabim
Download-URL: https://github.com/salabim/salabim
Author: Ruud van der Ham
Author-email: info@salabim.org
Keywords: statistics,math,simulation,des,discrete event simulation
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Manufacturing
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Other Audience
Classifier: Intended Audience :: Telecommunications Industry
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.6
Description-Content-Type: text/markdown

salabim
-------
Object oriented discrete event simulation and animation in Python.

Discrete event simulation (DES) can be used in a variety of logistics applications:

* production facilities
* warehousing
* (air)ports
* hospitals
* mining
* materials handling
* steel mills

, but also in other areas, like computer network analysis.

Salabim follows a well proven and very intuitive process description method (like Tomas and Must).
The package provides

* components
* queues
* resources
* stores
* states
* monitors for data collection and presentation
* 2D animation (including video production)
* 3D animation (including video production)
* tracing facilities
* advanced statistical sampling

In contrast to some other Python DES packages it is not required to use yield statements for the process control.
Salabim has very minimal requirements (without animation none). 

Salabim runs under Windows, MacOS, Linux, iOS/iPadOS (Pythonista) and can be used with "Python In Excel".

See www.salabim.org for details. 

See www.salabim.org/manual for the documentation.
