disk.frame collective

Open source

Fast disk-based parallelized data manipulation framework for larger-than-RAM data

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Seolead

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Nickalus Redell

$90 USD since Sep 2019

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disk.frame collective is all of us

Our contributors 6

Thank you for supporting disk.frame collective.

Dai ZJ

Admin

Nickalus Redell

monthly-5

$90 USD

A great and much needed addition to the R ecosy...

Seolead

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$30 USD

incognito

$12 USD

Share pros & cons of using SSD for faster analy...

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monthly-5

$10 USD

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Today’s balance

$114.57 USD

Total raised

$114.57 USD

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--.-- USD

Estimated annual budget

$35.02 USD

About


R's data.frame/data.table/tibble are great ecosystems for data manipulation. However, they all require the data to be loaded into RAM which limits the size of data that R can effectively manage. This is where disk.frame comes in! It's a native R package for manipulating larger-than-RAM data.

Our team

Dai ZJ

Admin