Transforming science through open data and software

We build software with a community of users and developers, and educate scientists about transparent research practices.

Interact & Share

Use our packages to acquire your data from both your own and from various data sources, analyze it, add your narrative and generate a final document in any of widely used formats such as Word, Markdown, PDF or LaTeX. Combine our tools with the rich ecosystem of R packages.

Access a Vast Trove of Scientific Data
Interactive Data Analysis and DataViz
Share Documents and Your Data

Documentation

Dive into detailed tutorials for our packages and explore use cases

d Tutorials

Quickly get up to speed with easy to follow tutorials on our packages

Browse tutorials
e Use Cases

Get inspired by real examples of how our packages can be used

Browse use cases
f Video Tutorials

Learn by watching a video tutorial

Browse our videos

Join our community

We 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.

Get Started

Upcoming Events

Event Date Location Attendees Description
Reproducible workflows at scale with drake 2019/09/24 Community call (teleconference) 🌐 All are welcome Ambitious workflows in R, such as machine learning analyses, can be difficult to manage. A single round of computation can take several hours to complete, and routine updates to the code and data tend to invalidate hard-earned results. You can enhance the maintainability, hygiene, speed, scale, and reproducibility of such projects with the drake R package. drake resolves the dependency structure of your analysis pipeline, skips tasks that are already up to date, executes the rest with optional distributed computing, and organizes the output so you rarely have to think about data files. This talk demonstrates how to create and maintain a realistic machine learning project using drake-powered automation.
LatinR 2019 2019/09/25 - 2019/09/27 Santiago, CL 🇨🇱   Maëlle Salmon Maëlle Salmon will give a remote presentation (in Spanish!) on our open software peer review system.
rOpenSci Ozunconf19 2019/12/11 - 2019/12/13 Sydney, AU 🇦🇺   Steph Stammel ,   Karthik Ram 4th annual rOpenSci Ozunconf


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Made with support from the Helmsley Trust