SciPy-bundle 2022.05-foss-2022a

There is a newer version of SciPy-bundle

Bundle of Python packages for scientific software

Accessing SciPy-bundle 2022.05-foss-2022a

To load the module for SciPy-bundle 2022.05-foss-2022a please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load bear-apps/2022a
module load SciPy-bundle/2022.05-foss-2022a

BEAR Apps Version




The listed architectures consist of two part: OS-CPU.

  • BlueBEAR: The OS used on BlueBEAR 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.
  • BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.


  • beniget 0.4.1
  • Bottleneck 1.3.4
  • deap 1.3.1
  • gast 0.5.3
  • mpi4py 3.1.3
  • mpmath 1.2.1
  • numexpr 2.8.1
  • numpy 1.22.3
  • pandas 1.4.2
  • ply 3.11
  • pythran 0.11.0
  • scipy 1.8.1

More Information

For more information visit the SciPy-bundle website.


This version of SciPy-bundle has a direct dependency on: foss/2022a pybind11/2.9.2-GCCcore-11.3.0 Python/3.10.4-GCCcore-11.3.0

Required By

This version of SciPy-bundle is a direct dependent of: AlphaFold/2.3.1-foss-2022a-CUDA-11.7.0 AlphaFold/2.3.1-foss-2022a Arrow/8.0.0-foss-2022a-CUDA-11.7.0 Arrow/8.0.0-foss-2022a Biopython/1.79-foss-2022a bokeh/2.4.3-foss-2022a cell2location/0.1.3-foss-2022a cell2location/0.1.3-foss-2022a-CUDA-11.7.0 cma/3.3.0-foss-2022a dask/2022.12.0-foss-2022a dask/2022.10.0-foss-2022a GDAL/3.5.0-foss-2022a h5py/3.7.0-foss-2022a imageio/2.22.2-foss-2022a jax/0.3.23-foss-2022a jax/0.4.4-foss-2022a jax/0.3.14-foss-2022a-CUDA-11.7.0 jax/0.4.4-foss-2022a-CUDA-11.7.0 matplotlib/3.5.2-foss-2022a MNE-Python/1.3.1-foss-2022a mne-rsa/0.8-foss-2022a napari/0.4.17-foss-2022a networkx/2.8.4-foss-2022a NiBabel/4.0.2-foss-2022a NLTK/3.8-foss-2022a numba/0.56.4-foss-2022a ont-remora/2.0.0-foss-2022a ont-remora/2.0.0-foss-2022a-CUDA-11.7.0 OpenCV/4.6.0-foss-2022a-CUDA-11.7.0-contrib OpenCV/4.6.0-foss-2022a-contrib OpenMM/7.7.0-foss-2022a ParaView/5.10.1-foss-2022a-mpi pdal-python/3.2.3-foss-2022a polars/0.17.12-foss-2022a ptwt/0.1.4.post2-foss-2022a ptwt/0.1.4.post2-foss-2022a-CUDA-11.7.0 pyseer/1.3.11-foss-2022a PyTables/3.8.0-foss-2022a python-parasail/1.3.3-foss-2022a PyTorch/2.0.1-foss-2022a-CUDA-11.7.0 PyTorch/1.12.1-foss-2022a-CUDA-11.7.0 PyTorch/1.12.1-foss-2022a pyvista/0.36.1-foss-2022a RootPainter/ scanpy/1.9.1-foss-2022a scikit-learn/1.1.2-foss-2022a scikit-misc/0.1.4-foss-2022a scvi-tools/0.20.1-foss-2022a scvi-tools/0.20.1-foss-2022a-CUDA-11.7.0 SHAP/0.41.0-foss-2022a statsmodels/0.13.1-foss-2022a sympy/1.11.1-foss-2022a tensorboardX/2.5.1-foss-2022a Transformers/4.24.0-foss-2022a-CUDA-11.7.0 Transformers/4.24.0-foss-2022a umap-learn/0.5.3-foss-2022a VTK/9.2.2-foss-2022a windspharm/1.7.0-foss-2022a xarray/2022.9.0-foss-2022a

Other Versions

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

Last modified on 12th January 2023