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Code Ocean

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4 reviews
  • 1 profiles
  • 3 categories
Average star rating
4.6
Serving customers since
2016

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Code Ocean Reviews

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Benjamin H.
BH
Benjamin H.
Senior Scientist at Princess Margaret Cancer Centre, University Health Network
08/01/2024
Validated Reviewer
Review source: Organic

No better way to ensure that yoru computational analysis is transparent, reproducible and reusable

Very accessible for users with deep or shallow computational expertise An efficient way to share your work with colleagues and the world Encourage best practices and ensure efficient collaboration within the team
Yair B.
YB
Yair B.
CTO at AION Labs
07/31/2024
Validated Reviewer
Review source: Organic

Code Ocean is a platform for building and growing effective computational teams

Easy to use, develop and share functional code that is web executable without any devops or software engineering requirements.
Aaron M.
AM
Aaron M.
Executive Data Scientist in the Clinical Life Sciences
07/16/2024
Validated Reviewer
Review source: Organic

reproducible, professional data science deliverables

CodeOcean provides data science teams with a centralized, managed, remote cloud workspace to not only develop and test new analyses using your favorite IDE (Posit Studio, VSCode, Jupyter), but to reliably and effortlessly deliver the outputs of those analyses to stakeholders in a way that is 100% reproducible, traceable, shareable, and reusable.

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New York, US

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What is Code Ocean?

Code Ocean is a collaborative platform designed to facilitate computational research and the sharing of scientific code and data. It provides researchers and developers with a cloud-based workspace to create, execute, and reproduce code across various programming languages within a standardized environment. The platform emphasizes reproducibility and transparency, enabling users to share their entire computational environment along with the code, ensuring that other researchers can reproduce the results accurately. Code Ocean supports a variety of programming languages and integrates with Jupyter Notebooks, R, MATLAB, and more, fostering an inclusive ecosystem for data analysis and scientific computing. Their features include version control, collaboration tools, and the ability to publish code and data with unique DOIs, supporting open science and enhancing the dissemination of research outputs.

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Year Founded
2016