We help develop R packages for the sciences via community driven learning, review and maintenance of contributed software in the R ecosystem
Use our carefully vetted, staff- and community-contributed R software tools that lower barriers to working with local and remote scientific data sources. Combine our tools with the rich ecosystem of R packages.
View all packagesWorkflow Tools for Your Code and Data
View all packagesGet Data from the Web
View all packagesConvert and Munge Data
View all packagesDocument and Release Your Data
View all packagesVisualize Data
View all packagesWork with Databases From R
View all packagesAccess, Manipulate, Convert Geospatial Data
View all packagesInteract with Web Resources
View all packagesUse Image & Audio Data
View all packagesAccess Scientific Literature Databases, Analyze Scientific Papers (and Text in General)
View all packagesSecure Your Data and Workflow
View all packagesStatistical algorithms and statistics-specific workflows
View all packagesHandle and Transform Taxonomic Information
View all packagesOur suite of packages is comprised of contributions from staff engineers and the wider R community via a transparent, constructive and open review process utilising GitHub's open source infrastructure.
Find out moreWe combine academic peer reviews with production software code reviews to create a transparent, collaborative & more efficient review process
View open reviewsBased on best practices of software development and standards of R, its applications and user base.
View DocumentationOur diverse community of academics, data scientists and developers provide a platform for shared learning, collaboration and reproducible science
Review for rOpenSciWe welcome you to join us and help improve tools and practices available to researchers while receiving greater visibility to your contributions. You can contribute with your packages, resources or post questions so our members will help you along your process.
Meet the teamHappy rOpenSci users can be found at