Task Queue for Parallel Computing Based on PostgreSQL R package taskqueue version 0.2.0 Implements a task queue system for asynchronous parallel computing using 'PostgreSQL' <https://www.postgresql.org/> as a backend. Designed for embarrassingly parallel problems where tasks do not communicate with each other. Dynamically distributes tasks to workers, handles uneven load balancing, and allows new workers to join at any time. Particularly useful for running large numbers of independent tasks on high-performance computing (HPC) clusters with 'SLURM' <https://slurm.schedmd.com/> job schedulers. Software Depends: R (>= 4.1.0) Imports: settings, stats, stringr, RPostgres, ggplot2, whisker, rlang, shiny, DBI, ssh Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Bangyou Zheng <bangyou.zheng@csiro.au> Comprehensive R Archive Network (CRAN) Bangyou Zheng [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=taskqueue/LICENSE) 2025-12-03 application/tgz https://CRAN.R-project.org/package=taskqueue doi:10.32614/CRAN.package.taskqueue