{"id":13857983,"url":"https://github.com/nanxstats/liftr","last_synced_at":"2025-04-05T01:07:18.004Z","repository":{"id":138434065,"uuid":"38942845","full_name":"nanxstats/liftr","owner":"nanxstats","description":"🐳 Containerize R Markdown documents for continuous reproducibility","archived":false,"fork":false,"pushed_at":"2024-03-11T22:23:06.000Z","size":5199,"stargazers_count":171,"open_issues_count":14,"forks_count":20,"subscribers_count":13,"default_branch":"master","last_synced_at":"2025-03-29T00:08:15.011Z","etag":null,"topics":["containerization","docker","dynamic-documents","knitr","liftr","reproducible-research","reproducible-science","rmarkdown","statistical-computing"],"latest_commit_sha":null,"homepage":"https://nanx.me/liftr/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/nanxstats.png","metadata":{"files":{"readme":"README.md","changelog":"NEWS.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2015-07-11T22:42:09.000Z","updated_at":"2025-03-22T08:14:24.000Z","dependencies_parsed_at":"2024-02-09T01:58:03.646Z","dependency_job_id":"3862df68-bd3d-435e-b6b4-f88601ef273b","html_url":"https://github.com/nanxstats/liftr","commit_stats":null,"previous_names":[],"tags_count":10,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nanxstats%2Fliftr","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nanxstats%2Fliftr/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nanxstats%2Fliftr/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nanxstats%2Fliftr/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nanxstats","download_url":"https://codeload.github.com/nanxstats/liftr/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247271530,"owners_count":20911587,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["containerization","docker","dynamic-documents","knitr","liftr","reproducible-research","reproducible-science","rmarkdown","statistical-computing"],"created_at":"2024-08-05T03:01:53.102Z","updated_at":"2025-04-05T01:07:17.976Z","avatar_url":"https://github.com/nanxstats.png","language":"R","funding_links":[],"categories":["R"],"sub_categories":[],"readme":"# liftr \u003cimg src=\"man/figures/logo.png\" align=\"right\" width=\"120\" /\u003e\n\n\u003c!-- badges: start --\u003e\n[![R-CMD-check](https://github.com/nanxstats/liftr/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/nanxstats/liftr/actions/workflows/R-CMD-check.yaml)\n[![CRAN Version](https://www.r-pkg.org/badges/version/liftr)](https://cran.r-project.org/package=liftr)\n[![Downloads from the RStudio CRAN mirror](https://cranlogs.r-pkg.org/badges/liftr)](https://cran.r-project.org/package=liftr)\n\u003c!-- badges: end --\u003e\n\nliftr aims to solve the problem of _persistent reproducible reporting_.\nTo achieve this goal, it extends the [R Markdown](https://rmarkdown.rstudio.com)\nmetadata format, and uses Docker to containerize and render R Markdown documents.\n\n## Paper\n\nTo cite this work and the related software, please use\n\nNüst D, Eddelbuettel D, Bennett D et al. (2020). [The Rockerverse: Packages and Applications for Containerisation with R](https://doi.org/10.32614/RJ-2020-007). _The R Journal_ 12 (1), 437-461.\n\n## Installation\n\nInstall liftr from CRAN:\n\n```r\ninstall.packages(\"liftr\")\n```\n\nOr try the development version on GitHub:\n\n```r\nremotes::install_github(\"nanxstats/liftr\")\n```\n\n[Browse the vignettes](https://nanx.me/liftr/articles/) or the [demo video](https://vimeo.com/212815497) for a quick-start.\n\n## Workflow\n\n\u003cimg src=\"man/figures/liftr-workflow.png\" width=\"100%\" alt=\"Containerize R Markdown Documents with liftr\"\u003e\n\n## Events\n\n| Time            | Event                   | Location                         |\n|:----------------|:------------------------|:---------------------------------|\n| July 30, 2018 | [JSM 2018](https://ww2.amstat.org/meetings/JSM/2018/onlineprogram/AbstractDetails.cfm?abstractid=329348) ([talk](https://nanx.me/talks/jsm2018-liftr-nanxiao.pdf)) | Vancouver, Canada |\n| July 27, 2017 | [BioC 2017](https://bioconductor.org/help/course-materials/2017/BioC2017/) ([poster](https://nanx.me/posters/dockflow-poster-bioc2017.pdf) for [dockflow.org](https://dockflow.org/)) | Dana-Farber Cancer Institute, Boston, MA |\n| May 20, 2017 | [The 10th China-R Conference](https://china-r.org) ([talk](https://nanx.me/talks/chinar2017-liftr-nanxiao.pdf)) | Tsinghua University, Beijng, China |\n| April 18, 2017 | DockerCon 2017 ([talk](https://nanx.me/talks/dockercon2017-liftr-nanxiao.pdf)) | Austin Convention Center, Austin, TX |\n| December 3, 2015 | [CRI Bioinformatics Workshop](https://learn.cri.uchicago.edu/2015-cri-bioinformatics-workshop/) ([talk](https://nanx.me/talks/cri2015-reproducible-research-nanxiao.pdf)) | The University of Chicago, Chicago, IL |\n| July 21, 2015 | [BioC 2015](https://bioconductor.org/help/course-materials/2015/BioC2015/) ([workshop](https://www.bioconductor.org/help/course-materials/2015/BioC2015/bioc2015-workshop-nanxiao.pdf)) | Fred Hutchinson Cancer Research Center, Seattle, WA |\n\n## Contribute\n\nTo contribute to this project, please take a look at the\n[Contributing Guidelines](https://liftr.me/CONTRIBUTING.html) first.\nPlease note that the liftr project is released with a\n[Contributor Code of Conduct](https://liftr.me/CODE_OF_CONDUCT.html).\nBy contributing to this project, you agree to abide by its terms.\n\n## License\n\nliftr is free and open source software, licensed under GPL-3.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnanxstats%2Fliftr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnanxstats%2Fliftr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnanxstats%2Fliftr/lists"}