dasklyr: R Interface to 'Dask'
Run 'dplyr' verbs on 'Dask' data frames from R. Connect to a
local 'Dask' client or a remote scheduler, copy R data frames onto
the cluster, read and write Parquet and CSV, and collect results as
'tibble' objects. Computation stays in Python workers through
'reticulate'; R only builds the graph. A Python installation with
the 'dask' package is required.
| Version: |
0.1.1 |
| Depends: |
R (≥ 4.1) |
| Imports: |
dplyr, rlang, tibble, tidyselect, reticulate (≥ 1.38) |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2026-10-15 |
| DOI: |
10.32614/CRAN.package.dasklyr (may not be active yet) |
| Author: |
Louis Li [aut, cre, cph] |
| Maintainer: |
Louis Li <908163862 at qq.com> |
| BugReports: |
https://github.com/hebian1994/dasklyr/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/hebian1994/dasklyr |
| NeedsCompilation: |
no |
| SystemRequirements: |
Python with the dask (dataframe, distributed),
pandas, and pyarrow packages |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
dasklyr results |
Documentation:
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