boids

Animation of flying birds

https://github.com/dgvisnadi/boids

Science Score: 18.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Animation of flying birds

Basic Info
  • Host: GitHub
  • Owner: dgvisnadi
  • License: mit
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 5.66 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 9 years ago · Last pushed over 7 years ago
Metadata Files
Readme License Citation

README.md

:bird: Boids

Boids is a package that lets you simulate the flying behavior of these birds.

Optionally, you can save the animation as a .mp4 or .gif file.

Getting Started

The following instructions will guide you how to install the package on your local machine.

Installing

pip install git+https://github.com/dgvisnadi/boids.git

Usuage

The command boids --help will show you how to use the function:

``` usage: boids [-h] [--number BOIDS] [--speed SPEED] [--out TYPE]

Simulate boids flying behavior

optional arguments: -h, --help show this help message and exit --number NUMBER Number of boids --speed SPEED slow or fast --out OUT If TRUE, .gif file of animation will be saved ```

Example: boids --number 50 --speed slow --out gif

For any distribution, please have a look at CITATION.md and LICENSE

Owner

  • Name: Dimitri Visnadi
  • Login: dgvisnadi
  • Kind: user
  • Location: Europe

MSc @ UCL in Data Science and Machine Learning

Citation (CITATION.md)

# :mortar_board: Citation

If you wish to refer to this package, please cite the URL
* https://github.com/dgvisnadi/boids.git

Part of the material are taken from UCL's course MPHYG001
* https://github.com/UCL/rsd-engineeringcourse

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Dependencies

setup.py pypi
  • argparse *
  • matplotlib *
  • pyyaml *
  • seaborn *