Skip to main content

A minimalist framework for agent-based modelling in Python.

Project description

PanaXea

Introduction

Welcome to PanaXea!

A minimalist framework to easily and quickly develop agent-based models in Python. PanaXea aims to provide a set of tools and utilities to rapidly achieve common tasks in agent-based model development such as schedule and environment management, agent behaviour setup, etc.

It provides:

  • Easy configuration model properties and keep track of parameter values and outputs;
  • A scheduling system that implements model progression as a set of epochs, and makes sure all agents are executed within a single epoch;
  • Classes for 2D and 3D environments, and helper methods for these;
  • Generic classes for agents and other steppables providing commonly used functionalities.

Table of Contents

  • Contributing - PanaXea welcomes contributors, see the guidelines for an overview of how to participate in the project;
  • Getting started - A quick description of how to get started designing your own models;
  • Installation - A description of how to install the project;
  • License - PanaXea is distributed under MIT license;

Getting started

See examples in ./examples for a few simple models to get you started.

The documentation is available on readthedocs.

PanaXea will work with both Python 2 and Python 3.

The core and toolkit modules do not require any additional packages to be used.

It might be useful to have Nox installed to run the end-to-end linting/testing/documenting pipeline. This will also require you to have pytest, sphinx and flake8 installed.

Running some of the examples requires NumPy and Matplotlib.

Overall, you might be more comfortable using an Anaconda distribution of Python.

Installation

As a first possibility you may clone/download the project and make sure the core module (and the toolkit module if you plan on using it) are added to your PYTHONPATH.

You may also install using pip:

pip install PanaXea

Contact

The project is maintained by Dario Panada, PhD student at The University of Manchester (UK). - dario.panada at manchester dot ac dot uk

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

PanaXea-0.9.0.dev0.tar.gz (11.7 kB view details)

Uploaded Source

Built Distribution

PanaXea-0.9.0.dev0-py2-none-any.whl (33.1 kB view details)

Uploaded Python 2

File details

Details for the file PanaXea-0.9.0.dev0.tar.gz.

File metadata

  • Download URL: PanaXea-0.9.0.dev0.tar.gz
  • Upload date:
  • Size: 11.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.16

File hashes

Hashes for PanaXea-0.9.0.dev0.tar.gz
Algorithm Hash digest
SHA256 b51d7ec31a7b92218bd4d296c7ca64257a1d59b655100e59b1e7c889627f8523
MD5 e91668cb9842ea7c777cbabb2cec3c18
BLAKE2b-256 ad4be0b1c53f56c21d8f9b0525c32cc9afb4c3356f405f1f4563aa34cb37609b

See more details on using hashes here.

File details

Details for the file PanaXea-0.9.0.dev0-py2-none-any.whl.

File metadata

  • Download URL: PanaXea-0.9.0.dev0-py2-none-any.whl
  • Upload date:
  • Size: 33.1 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.16

File hashes

Hashes for PanaXea-0.9.0.dev0-py2-none-any.whl
Algorithm Hash digest
SHA256 c1cf125b86f1880b24475018de35ad4b42675a9b8f429f201bae038889e9651e
MD5 0b16d940fcc95dfdc8766182bf6d6b19
BLAKE2b-256 51b59762d5f0ce209f0692b52166cccd7a23b6e78795d5db61d04c4167480dfb

See more details on using hashes here.

Supported by

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