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Project description

Author: Sylvain Faure, Bertrand Maury
License: GPL
Description: ========

CROMOSIM is a Python Library for Crowd Motion Simulation.

The aim of this open source project is to make it possible to users to run
simulations based from several models (cellular automata, microscopic
simulations or using compartments), to test new configurations, and even
to investigate the possibility to program their own model in complex
geometry: do-it yourself !

This package proposes Python implementations of the numerical methods detailed
in the book “Crowds in equations: an introduction to the microscopic modeling
of crowds” by B. Maury (ENS Ulm & Univ. Paris-Sud) and S. Faure (CNRS), World
Scientific 2018, Advanced textbooks in mathematics.

Installation (Python 3)

With Pypi

.. code::

pip install cromosim


.. code::

pip install cromosim --user

From source

You can also clone the project

.. code::

git clone

and then use the command

.. code::

python install



Keywords: Crowd Motion Simulator
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules

Project details

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Files for cromosim, version 1.0.5
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Filename, size cromosim-1.0.5-py3-none-any.whl (23.8 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size cromosim-1.0.5.tar.gz (49.2 MB) File type Source Python version None Upload date Hashes View

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