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curriculr  

Data-Driven CVs with 'Quarto' and 'Typst'
View on CRAN: Click here


Download and install curriculr package within the R console
Install from CRAN:
install.packages("curriculr")

Install from Github:
library("remotes")
install_github("cran/curriculr")

Install by package version:
library("remotes")
install_version("curriculr", "0.3.0")



Attach the package and use:
library("curriculr")
Maintained by
Erwin Lares
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-13
Latest Update: 2026-05-13
Description:
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>.
How to cite:
Erwin Lares (2026). curriculr: Data-Driven CVs with 'Quarto' and 'Typst'. R package version 0.3.0, https://cran.r-project.org/web/packages/curriculr. Accessed 26 Jun. 2026.
Previous versions and publish date:
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