We have hosted the application interactiveviz jl in order to run this application in our online workstations with Wine or directly.


Quick description about interactiveviz jl:

Julia already has a rich set of plotting tools in the form of the Plots and Makie ecosystems, and various backends for these. So why another plotting package? InteractiveViz is not a replacement for Plots or Makie, but rather a graphics pipeline system developed on top of Makie. It has a few objectives. To provide a simple API to visualize large or possibly infinite datasets (tens of millions of data points) easily. To enable interactivity, and be responsive even with large amounts of data. To render perceptually accurate summaries at large scale, allowing drill down to individual data points. To allow generation of data points on demand through a graphics pipeline, requiring computation only at a level of detail appropriate for display at the viewing resolution. Additional data points can be generated on demand when zooming or panning. This package was partly inspired by the excellent Datashader package available in the Python ecosystem.

Features:
  • Interactive visualization tools for Julia
  • You can zoom and pan to see details
  • New types of data sources may be defined by the user
  • Documentation available
  • Examples available
  • Install InteractiveViz.jl with one of the Makie backends that support interactivity


Programming Language: Julia.
Categories:
Data Visualization

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