disk.frame collective
Fast disk-based parallelized data manipulation framework for larger-than-RAM data
Contribute
Become a financial contributor.
Financial Contributions
Sponsor the cost of the diskframe.com URL Read more
$0.00 USD of $18 USD / year raised (0%)
Top financial contributors
Individuals
Organizations
$60 USD since Sep 2021
$30 USD since Nov 2019
disk.frame collective is all of us
Our contributors 7
Thank you for supporting disk.frame collective.
Dai ZJ
Targeted Orga...
monthly-5
$60 USD
Seolead
monthly-5
$30 USD
incognito
$12 USD
Share pros & cons of using SSD for faster analy...
Knut
one-time-8
$8 USD
Guest
Budget
Transparent and open finances.
Credit from Knut to disk.frame collective •
$158.48 USD
$158.79 USD
$0.31 USD
--.-- 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