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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 and optional YAML configuration, recording the resolved structure in a project configuration file that downstream tools can read, recording the outputs an analysis produces and the commit that produced them, 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, applying analysis functions to each group with optional parallel execution, and rendering syntactic tree diagrams as standalone PNG images via 'Typst'.

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6.01 score 2 stars 20 scripts 291 downloads

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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5.68 score 4 stars 10 scripts 410 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 submission state file stored alongside the project configuration tracks each submission across the workflow, so that input files can be uploaded and result files downloaded automatically, without constructing file lists by hand and without losing the job when the R session ends. 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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5.34 score 1 stars 31 scripts 336 downloads

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

5.32 score 6 stars 10 scripts 325 downloads