Dask
productParallel Computing Library
Overview
Developed byMatthew Rocklin
Maintained byAnaconda Inc
Founded2015
LicenseBSD-3-Clause
Open source✓ Open Source
Use caseParallel computing for Python analytics
Technical
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Knowledge graph stats
Claims21
Avg confidence95%
Avg freshness99%
Last updatedUpdated 5 days ago
WikidataQ30318627
Trust distribution
100% unverified
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Dask

product

Parallel computing library for analytics that scales NumPy, Pandas, and Scikit-learn to multi-core machines.

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pricing model

ValueTrustConfidenceFreshnessSources
Free and open sourceUnverifiedHighFresh1
FreeUnverifiedHighFresh1

requires

ValueTrustConfidenceFreshnessSources
PythonUnverifiedHighFresh1

license type

ValueTrustConfidenceFreshnessSources
BSD-3-ClauseUnverifiedHighFresh1
BSD 3-Clause LicenseUnverifiedHighFresh1

open source

ValueTrustConfidenceFreshnessSources
trueUnverifiedHighFresh1

integrates with

ValueTrustConfidenceFreshnessSources
PandasUnverifiedHighFresh1
NumPyUnverifiedHighFresh1
Scikit-learnUnverifiedHighFresh1

api compatible with

ValueTrustConfidenceFreshnessSources
NumPy APIUnverifiedHighFresh1
Pandas APIUnverifiedHighFresh1
PandasUnverifiedHighFresh1
NumPyUnverifiedHighFresh1

primary use case

ValueTrustConfidenceFreshnessSources
Parallel computing for Python analyticsUnverifiedHighFresh1
Parallel computing and out-of-core computationUnverifiedHighFresh1

developed by

ValueTrustConfidenceFreshnessSources
Matthew RocklinUnverifiedHighFresh1

founded year

ValueTrustConfidenceFreshnessSources
2015UnverifiedHighFresh1
2014UnverifiedModerateFresh1

maintained by

ValueTrustConfidenceFreshnessSources
Anaconda IncUnverifiedHighFresh1
Dask Development TeamUnverifiedHighFresh1

alternative to

ValueTrustConfidenceFreshnessSources
Apache SparkUnverifiedModerateFresh1

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Claim count: 21Last updated: 4/5/2026Edit history