Marcus Christie created AIRAVATA-3007:
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Summary: [GSoC] General plotting capabilities of experiment outputs
Key: AIRAVATA-3007
URL: https://issues.apache.org/jira/browse/AIRAVATA-3007
Project: Airavata
Issue Type: New Feature
Components: Django Portal
Reporter: Marcus Christie
Add general plotting capabilities of computational experiment outputs to the
Airavata Django Portal [1]. Portal admins that register an application should
be able to specify what kind of visualizations should be provided to users for
each file using a declarative configuration. Code should not be required for
simple charts, but for more complex use cases it should be possible to provide
Python code needed to support it.
As an example, let's say there is an application that generates a CSV file with
time series data. The admin user who is registering the application knows what
sort of plotting is desired, which columns of data are needed from the CSV
file, etc. The admin user should be able to provide some JSON configuration
that describe how to generate the plot. The Django Portal can then use this
JSON configuration to process the CSV file and provide the data and
configuration to a frontend UI component (implemented in Vue.js) that will then
render the desired chart. The charting technology should allow some
interactive features so that users can explore the data easily.
Some charting libraries that look particularly interesting:
* https://plot.ly/javascript/
* http://echarts.apache.org/
[1] https://github.com/apache/airavata-django-portal
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