Properties (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
data analysis library
|
| gptkbp:canBe |
large datasets
thousands of cores |
| gptkbp:developedBy |
Dask_developers
|
| gptkbp:hasAmenities |
Dask documentation
|
| gptkbp:hasFeature |
data locality
task graphs adaptive scaling fault_tolerance |
| gptkbp:hasOccupation |
Dask_community
|
| gptkbp:hasPersonnel |
BSD License
|
| gptkbp:hasVersion |
2023.10.0
|
| https://www.w3.org/2000/01/rdf-schema#label |
Dask
|
| gptkbp:isAvailableIn |
gptkb:PyPI
gptkb:Anaconda |
| gptkbp:isCompatibleWith |
gptkb:PyTorch
gptkb:Apache_Arrow TensorFlow XGBoost |
| gptkbp:isIntegratedWith |
gptkb:Dask-DataFrame
gptkb:Dask-ML gptkb:Dask-Array gptkb:Dask-Image gptkb:Dask-Joblib gptkb:Dask-Delayed Dask-Distributed |
| gptkbp:isKnownFor |
performance
flexibility scalability ease of use |
| gptkbp:isOptimizedFor |
data visualization
real-time analytics machine learning workflows large-scale data processing |
| gptkbp:isPartOf |
Python ecosystem
|
| gptkbp:isSupportedBy |
Python community
NumPy community Pandas community Scikit-learn community |
| gptkbp:isUsedBy |
data scientists
researchers data engineers analysts |
| gptkbp:isUsedFor |
Jupyter notebooks
Dask.distributed |
| gptkbp:provides |
dynamic task scheduling
parallel arrays parallel dataframes parallel machine learning |
| gptkbp:publishedIn |
Python
|
| gptkbp:supports |
gptkb:Pandas
Scikit-learn NumPy |
| gptkbp:usedFor |
parallel computing
|
| gptkbp:wasFoundedIn |
2016
|