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FSLeyes, the FSL image viewer

Project description

FSLeyes is the FSL image viewer.


These instructions pertain to manual installation of FSLeyes into a Python environment. Standalone versions of FSLeyes can be downloaded from

FSLeyes is a wxPython application. If you are on Linux, you will need to install wxPython first - head to and find the directory that matches your OS. Then run this command (change the URL accordingly):

pip install --only-binary wxpython -f wxpython

Once wxPython has been installed, you can install FSLeyes like so:

pip install fsleyes

To install FSLeyes with all of the optional dependencies (for additional functionality):

pip install fsleyes[extras]

As an alternate to using pip, FSLeyes is also available on conda-forge:

conda install -c conda-forge fsleyes


All of the core dependencies of FSLeyes are listed in requirements.txt.

Some extra dependencies, which provide additional functionality, are listed in requirements-extras.txt and requirements-notebook.txt.

Dependencies for running tests and building the documentation are listed in requirements-dev.txt.

Being an OpenGL application, FSLeyes can only be used on computers with graphics hardware (or a software GL renderer) that supports one of the following versions:

  • OpenGL 1.4, with the following extensions:
    • ARB_vertex_program
    • ARB_fragment_program
    • EXT_framebuffer_object
    • GL_ARB_texture_non_power_of_two
  • OpenGL 2.1, with the following extensions:
    • EXT_framebuffer_object
    • ARB_instanced_arrays
    • ARB_draw_instanced

FSLeyes also requires the presence of GLUT, or FreeGLUT.


The FSLeyes user and API documentation is written in ReStructuredText, and can be built using sphinx:

pip install -r requirements-dev.txt
python userdoc
python apidoc

The documentation will be generated and saved in userdoc/html/ and apidoc/html/.


Some of the FSLeyes icons are derived from the Freeline icon set, by Enes Dal, available at, and released under the Creative Commons (Attribution 3.0 Unported) license.

The volumetric spline interpolation routine uses code from:

Daniel Ruijters and Philippe Thévenaz, GPU Prefilter for Accurate Cubic B-Spline Interpolation, The Computer Journal, vol. 55, no. 1, pp. 15-20, January 2012.

The GLSL parser is based on code by Nicolas P . Rougier, available at, and released under the BSD license.

DICOM to NIFTI conversion is performed with Chris Rorden’s dcm2niix (

The brain_colours colour maps were produced and provided by Cyril Pernet (

Project details

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Files for fsleyes, version 0.32.0
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Filename, size fsleyes-0.32.0-py2.py3-none-any.whl (44.3 MB) File type Wheel Python version py2.py3 Upload date Hashes View hashes
Filename, size fsleyes-0.32.0.tar.gz (52.5 MB) File type Source Python version None Upload date Hashes View hashes

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