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Upstream software project

python-dask

Display dask graphs using graphviz

About python-dask

Display dask graphs using graphviz

This project links 8 native package records across 1 recorded operating-system release. Compare the retained versions and architectures below, then open the package for your own release.

These are catalog observations, not a guarantee of installation, compatibility, or upstream support.

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Project pictures and package coverage

openSUSE Leap 15.6: 8 package records. Catalog coverage diagram, not an application screenshot.python-dask: recorded package coverageopenSUSE Leap 15.68 records
OpenFactory diagram of linked package records. It is not an application screenshot.

Project identity

Project
python-dask
Publisher
Not authoritatively mapped
Native package records
8
Operating systems
opensuse-leap-15-6
License expression
BSD-3-Clause
Metadata completeness
100/100 (not a software quality rating)
Homepage
Visit upstream site
Source repository
Not reported

Source-reported description

The fullest retained description is shown with its source. Distribution packaging descriptions may include downstream details.

A minimal task scheduling abstraction and parallel arrays. * dask is a specification to describe task dependency graphs. * dask.array is a drop-in NumPy replacement (for a subset of NumPy) that encodes blocked algorithms in dask dependency graphs. * dask.async is a shared-memory asynchronous scheduler that efficiently executes dask dependency graphs on multiple cores. This package contains the dask DataFrame class. A Dask DataFrame is a large parallel dataframe composed of many smaller Pandas dataframes, split along the index. These pandas dataframes may live on disk for larger-than-memory computing on a single machine, or on many different machines in a cluster.

Description source

Packages by operating system

Compare recorded versions, then open a package for dependency, file, checksum, and repository evidence. Version strings are distribution-specific, not a ranking of newer software.

openSUSE Leap 15.6

  1. python3-dask

    openSUSE Leap 15.6 / Development/Languages/Python / source python-dask

    1.1.1-bp156.3.3

    Minimal task scheduling abstraction

    noarchleap-15.6
  2. python3-dask-all

    openSUSE Leap 15.6 / Development/Languages/Python / source python-dask

    1.1.1-bp156.3.3

    All dask components

    noarchleap-15.6
  3. python3-dask-array

    openSUSE Leap 15.6 / Development/Languages/Python / source python-dask

    1.1.1-bp156.3.3

    Numpy-like array data structure for dask

    noarchleap-15.6
  4. python3-dask-bag

    openSUSE Leap 15.6 / Development/Languages/Python / source python-dask

    1.1.1-bp156.3.3

    Data structure generic python objects in dask

    noarchleap-15.6
  5. python3-dask-dataframe

    openSUSE Leap 15.6 / Development/Languages/Python / source python-dask

    1.1.1-bp156.3.3

    Pandas-like DataFrame data structure for dask

    noarchleap-15.6
  6. python3-dask-distributed

    openSUSE Leap 15.6 / Development/Languages/Python / source python-dask

    1.1.1-bp156.3.3

    Interface with the distributed task scheduler in dask

    noarchleap-15.6
  7. python3-dask-dot

    openSUSE Leap 15.6 / Development/Languages/Python / source python-dask

    1.1.1-bp156.3.3

    Display dask graphs using graphviz

    noarchleap-15.6
  8. python3-dask-multiprocessing

    openSUSE Leap 15.6 / Development/Languages/Python / source python-dask

    1.1.1-bp156.3.3

    Display dask graphs using graphviz

    noarchleap-15.6

Project resources and further reading

Mapping provenance

Only source-backed identity signals create public cross-OS links. A reviewer can later approve or dispute an inferred relationship without rewriting native package history.

No field-level source record is published yet.