Packages

Our packages are carefully vetted, staff- and community-contributed R software tools that in particular lower barriers to working with local and remote scientific data sources. Browse use cases and read our blog to learn how to use specific packages or contribute to their improvement.

Curious about contributing your package? See our Software Peer Review page for details. We welcome volunteers to review packages submitted to our open peer review process.

Below are some highlighted categories of packages. If you are not too sure where to look, use the page with all packages. In any case, all packages pages have a search bar. If a tool for your need seems missing, feel free to post on our forum.

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Computing Infrastructure

Workflow Tools for Your Code and Data

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Data Access

Get Data from the Web

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Data Extraction

Convert and Munge Data

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Data Publication

Document and Release Your Data

Visualize Data

Work with Databases From R

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Geospatial

Access, Manipulate, Convert Geospatial Data

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HTTP tools

Interact with Web Resources

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Image & Audio Processing

Use Image & Audio Data

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Literature

Access Scientific Literature Databases, Analyze Scientific Papers (and Text in General)

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Security

Secure Your Data and Workflow

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Statistics

Statistical algorithms and statistics-specific workflows

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Taxonomy

Handle and Transform Taxonomic Information

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Our Software Review Process

rOpenSci's Software Peer Review is a mechanism to validate high-quality packages, improve best practices and skills in the research software community, and build collaborations and community via a transparent, constructive and open review process utilising GitHub's open source infrastructure. Through it we have assembled a suite of hundreds of tools to support open science, and a community of package authors, reviewers, and maintainers to sustain them.

Find out more