DSP S is an on-demand, commercially-licensed containerized multi-user collaborative data science platform. It is shipped with prebuilt images based on popular Jupyter notebooks and JupyterLab IDE.

• Empower data science teams by providing selection of popular IDEs and frameworks such as Jupyter notebooks, JupyterLab, Zeppelin, RStudio or Theia.
  
  
• Boost productivity by sharing workspaces and publishing notebooks or markdowns through permalink or an embeddable iFrame.
  
  
• Develop and package applications in any framework such as Bokeh, Flask or Shiny.
  
  
• Save on cloud costs by upscale or downscale resources with mouse clicks.
  
  
• Provide multi-level cost and security control by transparently monitoring usage and containers through powerful admin panel.
  
  
• Significantly reduce integration and DevOps costs by a secure and configurable development environment ready to implement in minutes
  
  
• Automate the pipeline by creating jobs with advanced scheduling features.