crew

In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) doi:10.5281/zenodo.7912722 is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) doi:10.32614/RJ-2021-048, 'rrq' by FitzJohn and Ashton (2023) https://github.com/mrc-ide/rrq, 'clustermq' by Schubert (2019) doi:10.1093/bioinformatics/btz284, and 'batchtools' by Lang, Bischel, and Surmann (2017) doi:10.21105/joss.00135.

Last 30 days

This package has been downloaded 2,677 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 36 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 26,747 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was Feb 05, 2025 with 205 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.