containr - Containerize Your 'R' Project

Provides tools for containerizing 'R' projects. Reads an 'renv' lock file, generates a ready-to-use 'Dockerfile', builds the container image, and pushes it to a registry. Generated 'COPY' instructions preserve the local directory structure inside the container. Cross-platform builds are supported via 'Docker' buildx for targeting 'linux/amd64' from ARM hosts. Designed to help researchers build portable, reproducible workflows that can be reliably shared, archived, and rerun across systems. See R Core Team (2025) <https://www.R-project.org/>, Ushey et al. (2025) <https://CRAN.R-project.org/package=renv>, and Docker Inc. (2025) <https://www.docker.com/>.

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5.78 score 4 stars 9 scripts 544 downloads

submitr - Scaffold and Submit Computational Jobs to CHTC Schedulers

Provides scaffolding tools to help researchers prepare and submit computational jobs to high-throughput computing (HTC) schedulers. Generates the files required to run containerized R analyses on 'HTCondor', including submit files and executable scripts, and wraps the system commands needed to stage files, submit jobs, monitor status, and retrieve results from a CHTC submit node. A session-level job manifest tracks metadata across the workflow so that result files can be downloaded automatically without constructing file lists by hand. Provides 'htc_start()' for session management and 'htc_config()' for connection details and SSH connection reuse guidance. Works naturally alongside 'containr' for container image management and 'toolero' for dataset splitting and project scaffolding.

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4.95 score 1 stars 30 scripts 47 downloads

toolero - A Toolkit for Research Workflows

Provides utility functions to help researchers implement best practices for their coding projects. Includes tools for reading and cleaning data files, initializing R projects with a standard folder structure, creating 'Quarto' documents from reproducible templates with optional sample data and custom styling, detecting the execution context across interactive, 'Quarto', and script-based workflows, splitting data frames into group-level output files, and rendering syntactic tree diagrams as standalone PNG images via 'Typst'.

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quarto

4.95 score 1 stars 9 scripts 489 downloads

submitr - Scaffold and Submit Computational Jobs to HTC Schedulers

Provides scaffolding tools to help researchers prepare and submit computational jobs to high-throughput computing (HTC) schedulers. Generates the files required to run containerized R analyses on 'HTCondor', including submit files and executable scripts, and wraps the system commands needed to stage files, submit jobs, monitor status, and retrieve results from a CHTC submit node. Provides 'htc_config()' for managing connection details and SSH connection reuse guidance. Works naturally alongside 'containr' for container image management and 'toolero' for dataset splitting and project scaffolding.

Last updated

3.18 score 30 scripts

curriculr - Data-Driven CVs with 'Quarto' and 'Typst'

Provides tools for producing data-driven curriculum vitae documents from structured data stored in an Excel workbook. The core workflow reads CV content from a workbook, converts it into 'Typst' layout blocks, and renders a polished PDF via the 'Quarto' publishing system. Includes functions for reading and cleaning CV data, building 'Typst' section headings and entries, rendering CV sections from data frames, and scaffolding new CV projects with a standard folder structure and template workbook. Designed to separate content from layout: CV data lives in the spreadsheet, rendering configuration lives in 'Quarto', and transformation logic lives in small, reusable R functions. See the 'Typst' typesetting system at <https://typst.app> and the 'Quarto' publishing system at <https://quarto.org>. Inspired by the 'vitae' package <https://CRAN.R-project.org/package=vitae> and the 'Awesome CV' LaTeX template <https://github.com/posquit0/Awesome-CV>.

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quarto

3.18 score 1 stars 5 scripts

curriculr - Data-Driven CVs with 'Quarto' and 'Typst'

Provides tools for producing data-driven curriculum vitae documents from structured data stored in an Excel workbook. The core workflow reads CV content from a workbook, converts it into 'Typst' layout blocks, and renders a polished PDF via the 'Quarto' publishing system. Includes functions for reading and cleaning CV data, building 'Typst' section headings and entries, rendering CV sections from data frames, and scaffolding new CV projects with a standard folder structure and template workbook. Designed to separate content from layout: CV data lives in the spreadsheet, rendering configuration lives in 'Quarto', and transformation logic lives in small, reusable R functions. See the 'Typst' typesetting system at <https://typst.app> and the 'Quarto' publishing system at <https://quarto.org>. Inspired by the 'vitae' package <https://CRAN.R-project.org/package=vitae> and the 'Awesome CV' LaTeX template <https://github.com/posquit0/Awesome-CV>.

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quarto

2.70 score 5 scripts