Comments (5)
what do you think of this, does it sound more or less realistic to you?
Well, yes it seems realistic, just abstract right now. Remember to keep it clear and simple, and build on the efforts of others.
By the way, there are a couple of projects that may be constellated around, or somewhat related to, this idea:
easy declarative way to render charts from input parameters without having to code anything.
- Altair - Declarative statistical visualization library for Python
- extends from: Vega Lite - A high-level grammar for visual analysis, built on top of Vega.
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This tools looks interesting and I need a closer look to try to understand how we could benefit from it.
Remember to keep it clear and simple
Yes KISS is good. But simple is hard...
What I want to build is not another general purpose data visualization tool. I'm looking for a flexible an easy way to embed charts in other modules or templates to compose some custom data visualization views.
For general data visualization I am more on a strategy of transferring the data to external databases - see the django-dex project (the doc might be a bit outdated as this is a highly experimental and moving fast weird project)
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Django-dex looks interesting. I have experimented briefly with InfluxDB, in a Node-Red flow.
Maintaining simplicity and clarity/focus is certainly difficult 😅
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I moved your main comment to the issue description text. Feel free to modify.
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The models based constructor has been implemented in the server side rendering branch #16
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Related Issues (20)
- Use Altair to encode data to the Vega Lite format HOT 2
- Development roadmap and directions HOT 11
- Composable dashboards HOT 16
- Completely remove amcharts from repository if no longer in use HOT 2
- Add docstrings to all class and function definitions
- Remove empty files HOT 3
- Improve project test coverage
- Charts regeneration on data change HOT 17
- Create documentation and host it at Read the docs HOT 2
- Eliminate ChartsView HOT 1
- Move ChartController's non-django methods to a lower level python module HOT 1
- Display tabular data in dashboards HOT 2
- Support for Holoviews / Bokeh rendering engine
- Dashboards views HOT 1
- Example Jupyter notebooks HOT 3
- About the API surface HOT 2
- Support for Chartjs
- Ability to draw charts HOT 2
- Online demo
- Improvements in version 0.5 HOT 3
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