scikit-image 0.19.1-foss-2021b

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

There is a newer version 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 0.19.1-foss-2021b

To load the module for scikit-image 0.19.1-foss-2021b please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load scikit-image/0.19.1-foss-2021b

BEAR Apps Version



  • imread 0.7.4
  • pooch 1.5.2
  • PyWavelets 1.2.0
  • scikit-image-0.19.1
  • tifffile 2021.11.2

More Information

For more information visit the scikit-image website.


This version of scikit-image has a direct dependency on: dask/2022.1.0-foss-2021b foss/2021b imageio/2.13.5-foss-2021b matplotlib/3.4.3-foss-2021b networkx/2.6.3-foss-2021b Pillow/8.3.2-GCCcore-11.2.0 Python/3.9.6-GCCcore-11.2.0

Required By

This version of scikit-image is a direct dependent of: aicsimageio/4.9.4-foss-2021b BEAR-Python-MSc-Bioinformatics/2021b-foss-2021b cuCIM/23.2.0-foss-2021b-CUDA-11.4.1 DeepCell/0.11.1-foss-2021b-CUDA-11.4.1 SSAM/1.0.2-foss-2021b

Other Versions

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

Last modified on 28th February 2023