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dask

Dask natively scales Python. Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love.

https://dask.org/

Available modules

The overview below shows which dask installations are available per target architecture in EESSI, ordered based on software version (new to old).

To start using dask, load one of these modules using a module load command like:

module load dask/2023.9.2-foss-2023a

(This data was automatically generated on Fri, 06 Feb 2026 at 13:12:13 UTC)

aarch64/generic aarch64/a64fx aarch64/neoverse_n1 aarch64/neoverse_v1 aarch64/nvidia/grace x86_64/generic x86_64/amd/zen2 x86_64/amd/zen3 x86_64/amd/zen4 x86_64/intel/cascadelake x86_64/intel/haswell x86_64/intel/icelake x86_64/intel/sapphirerapids x86_64/intel/skylake_avx512
dask/2023.9.2-foss-2023a x x x x x x x x x x x x x x
dask/2023.7.1-foss-2022b x x x x x x x x x x x x x x

dask/2023.9.2-foss-2023a

This is a list of extensions included in the module:

dask-2023.9.2, dask-jobqueue-0.8.2, dask-mpi-2022.4.0, distributed-2023.9.2, docrep-0.3.2, HeapDict-1.0.1, locket-1.0.0, partd-1.4.0, tblib-2.0.0, toolz-0.12.0, zict-3.0.0

dask/2023.7.1-foss-2022b

This is a list of extensions included in the module:

dask-2023.7.1, dask-jobqueue-0.8.2, dask-mpi-2022.4.0, distributed-2023.7.1, docrep-0.3.2, HeapDict-1.0.1, locket-1.0.0, partd-1.4.0, tblib-2.0.0, toolz-0.12.0, versioneer-0.29, zict-3.0.0