disk.frame collective
Fast disk-based parallelized data manipulation framework for larger-than-RAM data
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Financial contributions
URL registration sponsor
$18 USD / year goal
$0.00 USD / year raised (0%)
Sponsor the cost of the diskframe.com URL Read more
$18 USD / year
Top financial contributors
Individuals
$70 USD since Sep 2019
$12 USD since Dec 2019
Organizations
$30 USD since Nov 2019
Budget
See how money openly circulates through disk.frame collective. All contributions and all expenses are published in our transparent public ledger. Learn who is donating, how much, where is that money going, submit expenses, get reimbursed and more!
Monthly financial contribution to disk.frame collective (...
from Nickalus Redell • 10/1/2020
Monthly financial contribution to disk.frame collective (...
from Nickalus Redell • 9/1/2020
Monthly financial contribution to disk.frame collective (...
from Nickalus Redell • 8/3/2020
Today’s balance
$90.85 USD
~ $82.75 USD
disk.frame collective is all of us
Our contributors 4
Everyone who has supported disk.frame collective. Individuals and organizations that believe in –and take ownership of– our purpose.
Dai ZJ
Nickalus Redell
Total contributions
$70 USD
A great and much needed addition to the R ecosystem!
incognito
Total contributions
$12 USD
Share pros & cons of using SSD for faster analysis.
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.
