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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 |
| Reference manual: | dasklyr.html , dasklyr.pdf |
| Package source: | dasklyr_0.1.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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These binaries (installable software) and packages are in development.
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