Skip to main content

Free Unified Rendering in Python

Project description


FURY
Free Unified Rendering in Python

A software library for scientific visualization in Python.

General InformationKey FeaturesInstallationHow to useCreditsContributeCiting

FURY Networks swarming simulation shaders horse
Network Visualization Swarming/flocking simulation based on simple boids rules Easy shader effect integration.
sdf Collides simulation Physics bricks
Ray Marching and Signed Distance Functions Particle collisions Interoperability with the pyBullet library.
UI Tabs Shaders dragon skybox Picking object
Custom User Interfaces Shaders and SkyBox integration Easy picking manager

General Information

Key Features

  • Custom User Interfaces
  • Physics Engines API
  • Custom Shaders
  • Interactive local and Remote rendering in Jupyter Notebooks
  • Large amount of Tutorials and Examples

Installation

Dependencies

FURY requires:

  • Numpy (>=1.7.1)
  • Vtk (>=8.1.2)
  • Scipy (>=1.2.0)
  • Pillow>=5.4.1

Releases

pip install fury or conda install -c conda-forge fury

Development

Installation from source

Step 1. Get the latest source by cloning this repo:

git clone https://github.com/fury-gl/fury.git

Step 2. Install requirements:

pip install -r requirements/default.txt

Step 3. Install fury

As a local project installation using:

pip install .

Or as an "editable" installation using:

pip install -e .

If you are developing fury you should go with editable installation.

Step 4: Enjoy!

For more information, see also installation page on fury.gl

Testing

After installation, you can install test suite requirements:

pip install -r requirements/test.txt

And to launch test suite:

pytest -svv fury

How to use

There are many ways to start using FURY:

Credits

Please, go to contributors page to see who have been involved in the development of FURY.

Contribute

We love contributions!

You've discovered a bug or something else you want to change - excellent! Create an issue!

Citing

If you are using FURY in your work then do cite this paper. By citing FURY, you are helping sustain the FURY ecosystem.

Garyfallidis, Eleftherios, Serge Koudoro, Javier Guaje, Marc-Alexandre Côté, Soham Biswas,
David Reagan, Nasim Anousheh, Filipi Silva, Geoffrey Fox, and Fury Contributors.
"FURY: advanced scientific visualization." Journal of Open Source Software 6, no. 64 (2021): 3384.
https://doi.org/10.21105/joss.03384
    @article{Garyfallidis2021,
        doi = {10.21105/joss.03384},
        url = {https://doi.org/10.21105/joss.03384},
        year = {2021},
        publisher = {The Open Journal},
        volume = {6},
        number = {64},
        pages = {3384},
        author = {Eleftherios Garyfallidis and Serge Koudoro and Javier Guaje and Marc-Alexandre Côté and Soham Biswas and David Reagan and Nasim Anousheh and Filipi Silva and Geoffrey Fox and Fury Contributors},
        title = {FURY: advanced scientific visualization},
        journal = {Journal of Open Source Software}
    }

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

fury-0.8.0.tar.gz (491.6 kB view hashes)

Uploaded Source

Built Distribution

fury-0.8.0-py3-none-any.whl (349.2 kB view hashes)

Uploaded Python 3

Supported by

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