|
gptkbp:instanceOf
|
gptkb:software
|
|
gptkbp:category
|
data analysis
data science
distributed computing
scientific computing
parallel computing
|
|
gptkbp:component
|
gptkb:Dask_Array
gptkb:Dask_Bag
gptkb:Dask_DataFrame
gptkb:Dask_Delayed
gptkb:Dask_Distributed
gptkb:Dask_Scheduler
|
|
gptkbp:condaInstallable
|
true
|
|
gptkbp:designedFor
|
distributed computing
parallel computing
|
|
gptkbp:documentation
|
https://docs.dask.org/en/stable/
|
|
gptkbp:firstReleased
|
2014
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Dask
|
|
gptkbp:latestReleaseVersion
|
2024
|
|
gptkbp:license
|
gptkb:BSD_License
|
|
gptkbp:logo
|
https://dask.org/en/latest/_images/dask_horizontal.svg
|
|
gptkbp:maintainedBy
|
gptkb:Dask_Development_Team
|
|
gptkbp:openSource
|
true
|
|
gptkbp:pipInstallable
|
true
|
|
gptkbp:platform
|
cross-platform
|
|
gptkbp:programmingLanguage
|
gptkb:Python
|
|
gptkbp:relatedTo
|
gptkb:Hadoop
gptkb:Modin
gptkb:Vaex
gptkb:Apache_Spark
right
|
|
gptkbp:repository
|
https://github.com/dask/dask
|
|
gptkbp:supports
|
gptkb:machine_learning
big data
arrays
dataframes
dynamic task scheduling
out-of-core computation
|
|
gptkbp:usedBy
|
gptkb:engineer
gptkb:researchers
data scientists
|
|
gptkbp:usedFor
|
gptkb:TensorFlow
gptkb:XGBoost
gptkb:Pandas
gptkb:Jupyter
gptkb:PyTorch
gptkb:Scikit-learn
gptkb:NumPy
|
|
gptkbp:website
|
https://dask.org/
|
|
gptkbp:bfsParent
|
gptkb:XGBoost
gptkb:Bokeh
|
|
gptkbp:bfsLayer
|
5
|