Benefits of Sycamore Data Science Workbench

Created by Grace Thompson, Modified on Mon, 16 Mar at 8:28 PM by Grace Thompson

  1. Scalable & extensible computing & storage with programming from browsers or Windows/Linux
  2. Flexible for languages (R, Python, Julia) & dev tools (Jupyter, RStudio, SAS Studio, and others)
  3. Customizable app launcher UI, and readiness to integrate with a variety of data sources
  4. Analysis and Data Science-specific workflows with model, tool, & analysis operations monitoring
  5. 100% reproducibility of analyses over time using automated containerization

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