{"id":20019304,"url":"https://github.com/jbris/dataframe-processor","last_synced_at":"2025-08-30T15:28:13.174Z","repository":{"id":125855030,"uuid":"469991630","full_name":"JBris/dataframe-processor","owner":"JBris","description":"A simple R library to construct Extract - Transform - Load (ETL) pipelines and merge different datasets together","archived":false,"fork":false,"pushed_at":"2022-04-20T03:14:10.000Z","size":36,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-12T16:08:14.701Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/JBris.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"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":"2022-03-15T03:29:51.000Z","updated_at":"2024-06-18T16:58:57.000Z","dependencies_parsed_at":"2023-03-09T09:45:26.184Z","dependency_job_id":null,"html_url":"https://github.com/JBris/dataframe-processor","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fdataframe-processor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fdataframe-processor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fdataframe-processor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fdataframe-processor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JBris","download_url":"https://codeload.github.com/JBris/dataframe-processor/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241453388,"owners_count":19965197,"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":[],"created_at":"2024-11-13T08:26:53.154Z","updated_at":"2025-03-02T03:26:49.609Z","avatar_url":"https://github.com/JBris.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# dataframe-processor\n\n## Table of Contents  \n\n* [Introduction](#introduction) \n* [Pipeline Script](#pipeline-script) \n* [Pipeline File](#pipeline-file) \n\n### Introduction\n\nA simple and lightweight R library to construct Extract - Transform - Load (ETL) pipelines. \n\nExecute `init.sh` to initialise the pipeline tool. Several additional options are supported. Run `init.sh -h` for help.\n\nEdit `.env` to specify your local environment variables as required. Define your pipeline using a `config.yaml` file. See [.env.example](.env.example) and [config.yaml.example](config.yaml.example) for examples of how to construct these files.\n\nFor working with relational databases, consider using the [ETL package](https://cran.rstudio.com/web/packages/etl/index.html).\n\n### Pipeline Script\n\n### Pipeline File\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjbris%2Fdataframe-processor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjbris%2Fdataframe-processor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjbris%2Fdataframe-processor/lists"}