A software library for scientific visualization in Python.

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

Key Features

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



FURY requires:

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


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


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


After installation, you can install test suite requirements:

pip install -r requirements/test.txt

And to launch test suite:

pytest -svv fury