Introducing R-Brain: A New Data Science Platform

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Introducing R-Brain: A New Data Science Platform R-Brain is a next generation platform for data science built on top of Jupyterlab with Docker. It was recently unveiled at JupyterCon in late August. Don’t let the name fool you. R-Brain currently supports R, Python, Structured Query Language (SQL), and more. It has integrated intellisense, debugging, packaging, and […]

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RIDE server – a Multi-User and Scalable Data Science IDE Server

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Moving to a server-based infrastructure necessitates choosing a platform that is capable of fully utilizing all the benefits of the container technologies and software development solutions. This whitepaper illustrates how RIDE Server meets all key attributes required for a server-based IDE. Powered by Jupyter and Eclipse Che, RIDE Server delivers a unique, smart development platform […]

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Visual debugging with RIDE

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Visual debugging with RIDE On R-Blogger there was an interesting article that compares debugging support for R in RStudio and Eclipse StatET [1]. I liked that article very much, but it misses the new RIDE environment, which I am going to add to the comparison in this article. RIDE is a Jupyter-based development environment for […]

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