Code Monkey home page Code Monkey logo

seeds's Introduction

SEEDS - Stochastic Ecological and Evolutionary Dynamics System

Created by:Brian Connelly <[email protected]> and Luis Zaman <[email protected]>
Website:https://github.com/briandconnelly/seeds

Expanded Documentation

The primary source for documentation is the SEEDS Wiki. Here, detailed installation instructions, how-to guides, code templates, and example experiments are provided.

Installing SEEDS

SEEDS requires Python version 2.7 or greater. As of version 1.0.9, SEEDS also supports Python 3. Additionally, SEEDS requires the NetworkX package.

Installation is done using the standard Python Distribution Utilities and can be as straightforward as running "python setup.py install". For further instructions on this process, please see the SEEDS Wiki or the official Distutils documentation at http://docs.python.org/install/index.html.

Running SEEDS

Out of the box, SEEDS includes simple experiments in the examples directory. These experiments can be run once SEEDS has been installed on your system. See the README.txt file in a specific directory to learn about the experiment, how to configure it, and how to perform it.

Expanding SEEDS

SEEDS is designed as a plugin-based framework. This means that you can create and use your own cell types, topologies, and actions and use these immediately without modifying the base SEEDS framework.

To create experiments that model behaviors of interest to you, a Cell type will need to be created. Additionally, sample Cell types can be found in the examples directory, and a template can be found in the templates directory.

For further information about plugins, please see the SEEDS Wiki.

Reporting Bugs and Feature Requests

SEEDS is under constant development. To see which features and changes are planned or to report bugs, visit http://github.com/briandconnelly/seeds/issues.

License

SEEDS is released under the Apache License, Version 2.0. For more information, see the files LICENSE.txt and NOTICE.txt.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.