scikit-image 0.15.0-foss-2018b-Python-3.6.6

Deprecated: Use of this version of scikit-image is deprecated. More information on our Applications Support and Retention Policy.

There is a newer install of scikit-image

Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.

Accessing scikit-image 0.15.0-foss-2018b-Python-3.6.6

To load the module for scikit-image 0.15.0-foss-2018b-Python-3.6.6 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load scikit-image/0.15.0-foss-2018b-Python-3.6.6

BEAR Apps Version




The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.


  • imageio 2.5.0
  • networkx 2.3
  • PyWavelets 1.0.3
  • scikit-image-0.15.0

More Information

For more information visit the scikit-image website.


This version of scikit-image has a direct dependency on: dask/0.19.4-foss-2018b-Python-3.6.6 foss/2018b matplotlib/3.1.0-foss-2018b-Python-3.6.6 Pillow/5.3.0-foss-2018b-Python-3.6.6 Python/3.6.6-foss-2018b Qhull/2015.2-GCCcore-7.3.0

Other Versions

These versions of scikit-image are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 2nd July 2019