Validate data in data frames, 'tibble' objects, 'Spark' 'DataFrames', and database tables. Validation pipelines can be made using easily-readable, consecutive validation steps. Upon execution of the validation plan, several reporting options are available. User-defined thresholds for failure rates allow for the determination of appropriate reporting actions. Many other workflows are available including an information management workflow, where the aim is to record, collect, and generate useful information on data tables.
| Version: | 0.12.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | base64enc (≥ 0.1-3),blastula (≥ 0.3.3),cli (≥ 3.6.0),DBI (≥ 1.1.0),digest (≥ 0.6.27),dplyr (≥ 1.1.0),dbplyr (≥2.3.0),fs (≥ 1.6.0),glue (≥ 1.6.2),gt (≥ 0.9.0),htmltools (≥ 0.5.4),knitr (≥ 1.42),rlang (≥ 1.0.3),magrittr,scales (≥ 1.2.1),testthat (≥ 3.2.0),tibble (≥3.1.8),tidyr (≥ 1.3.0),tidyselect (≥ 1.2.0),yaml (≥2.3.7) |
| Suggests: | arrow,bigrquery,data.table,duckdb,ggforce,ggplot2 (≥3.5.0),jsonlite,log4r,lubridate,RSQLite,RMySQL,RPostgres,readr,rmarkdown,sparklyr,dittodb,odbc |
| Published: | 2025-11-28 |
| DOI: | 10.32614/CRAN.package.pointblank |
| Author: | Richard Iannone [aut, cre], Mauricio Vargas [aut], June Choe [aut], Olivier Roy [ctb] |
| Maintainer: | Richard Iannone <rich at posit.co> |
| BugReports: | https://github.com/rstudio/pointblank/issues |
| License: | MIT + fileLICENSE |
| URL: | https://rstudio.github.io/pointblank/,https://github.com/rstudio/pointblank |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Databases |
| CRAN checks: | pointblank results |