Our mission is to make the world's scientific code more reusable, executable and reproducible

Code Ocean is a cloud-based computational reproducibility platform that provides researchers and developers an easy way to share, discover and run code published in academic journals and conferences.
More and more of today's research includes software code, statistical analysis and algorithms that are not included in traditional publishing. But they are often essential to reproducing the research results and reusing them in a new product or research. This creates a major roadblock for researchers, one that inspired the first steps of Code Ocean as part of the 2014 Runway Startup Postdoc Program at the Jacobs Technion Cornell Institute. Today, the company employs more than 10 people and officially launched the product in February 2017.
For the first time, researchers, engineers, developers and scientists can upload code and data in 10 programming languages and link working code in a computational environment with the associated article for free. We assign a Digital Object Identifier (DOI) to the algorithm, providing correct attribution and a connection to the published research.
The platform provides open access to the published software code and data to view and download for everyone for free. But the real treat is that users can execute all published code without installing anything on their personal computer. Everything runs in the cloud on CPUs or GPUs according to the user needs. We make it easy to change parameters, modify the code, upload data, run it again, and see how the results change.
We're excited to be on this mission to make scientific code more open. We hope you'll join us!

In the Media

Software simplified

Andrew Silver, Nature, May 29, 2017
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Reanalyse(a)s: making reproducibility easier with Code Ocean widgets

Thomas Ingraham, F1000 Research blog, April 20, 2017
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Upcoming Events

Previous Events

Dataverse Community Meeting 2017
Society for Scholarly Publishing Annual Meeting
Society for Scholarly Publishing Annual Meeting
IEEE International Conference on Robotics and Automation (ICRA)
PresQT
RDA 9th Plenary Meeting
RDA 9th Plenary Meeting