On Mon, 2020-04-13 at 13:59 -0700, 'MH' via Django users wrote:
> d to create some kind of dashboard for myself. So I googled some
> applications of django for analytical dashboards and they proposed
> things like highcharts. From what I read I got the impression that I
> would use external sources and as if I would transmit data to other
> sites (e.g. 
> https://www.highcharts.com/blog/tutorials/create-a-dashboard-using-highcharts-and-django/
> ). But perhaps I misunderstood that.
> 

Plotly is one good alternative. There however are many Python based
visualisation libraries tuned for use with Jupyter, it shouldn't be to
difficult to use them with django. Plotly can defiantly be used as a
all local library (but don't confuse it with dash ), although it does
or did have online alternates.

If you are conformable doing more at the frontend there are quite a few
js visualisation tools (often based on d3), restricting myself to just
the open source ones, I can find/know about  nvd3js, dygraphs,
chart.js, n3-charts, c3  and more.

There are many alternatives and it can definitely be done a) open
source, and b) without uploading the data to a third party.


-- 
Roger Gammans <rgamm...@gammascience.co.uk>

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