disk.frame collective

Open source

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

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Custom contribution

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Make a custom one time or recurring contribution.

2 individuals and 1 organization have contributed

Recurring contribution

Monthly-1

Join us for $1.00 per month and help us sustain our activities!

$1 USD / month

Recurring contribution

Monthly-5

Join us for $5.00 per month and help us sustain our activities!

$5 USD / month

1 individual and 1 organization have contributed

One time contribution

One-time-8

Join us for $8.00 and help us sustain our activities!

$8 USD

Goal

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

1
Nickalus Redell

$85 USD since Sep 2019

2
Incognito

$12 USD since Dec 2019

Organizations

1
Seolead

$30 USD since Nov 2019

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
Admin
Nickalus Redell
Financial Contributor

Total contributions

$85 USD

A great and much needed addition to the R ecosystem!

Seolead
Financial Contributor

Total contributions

$30 USD

monthly-5

incognito
Financial Contributor

Total contributions

$12 USD

Share pros & cons of using SSD for faster analysis.

Budget


Transparent and open finances.

Monthly financial contribution to disk.frame collective (...

from Nickalus Redell

+$5.00USD
Completed

Monthly financial contribution to disk.frame collective (...

from Nickalus Redell

+$5.00USD
Completed

Monthly financial contribution to disk.frame collective (...

from Nickalus Redell

+$5.00USD
Completed

Today’s balance

$103.00 USD

Estimated annual budget

~ $60.60 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