Redash VS plotly

Regarding the subqueries: try https://tablum.io or https://redash.io, they materialize queried data so you can do a subquery multiple times.

Take a look at Apache Superset, Metabase and Redash.

Maybe Redash? The exploration part is really nice (ignore the dashboards part) https://github.com/getredash/redash

From that list, I recommended starting with Redash.

Redash is open source - https://redash.io/

Also Redash which I find to be more powerful: https://redash.io/

This is cool!

I've had a lot of success with http://redash.io, which is a similar (though much more complex) project. SQL backend +visualizations can be really powerful and surprisingly flexible for building dashboards that aren't quite ad-hoc, but don't deserve their own standalone app and you just need to tie some input fields into SQL parameters.

re:dash (acquired by Databricks but still BSD-licensed open source)

Not exactly for "input data" but using already existing in (almost any) database and create realtime charts: Redash

Thinking these days how we probably started to value more building blocks of our existence. As it started to feel more integrated into our existence as follows - health, water, food and often mentioned Covid that limited our ability to travel for some regions. To have overall knowledge of how does it goes worldwide there is well known Google Trends online tool to work with. But there is something special for those who are in love with python. Beautiful graphing library Plotly licensed under the MIT license.

Super easy to use compared to matplotlib. The plotly gallery website has examples for all the use cases I've ever needed: https://plotly.com/python/

3) When you are ready to make some cool graphs and figures, check out Plotly, it's a free graphing library with lots of worked examples.

I don't know about a discussion, but i know a lot of people are moving to plotly [1] or seaborn [2] as they are prettier and more intuitive.

1: https://plotly.com/python/

I started using (and really liked) plotly when I started running into issues with matotlib. It's interactive plots in jupyter notebooks were really useful for exploratory analysis and their examples were pretty straight forward.

I don't use C++ for graphing and instead utilize this nifty python library: https://plotly.com/python/. I realize you are likely asking for a C++ library, but figured I'd pass it along anyway. The C++ applications I work on generate a lot of data that is meant to be consumed only when there is a problem or a sanity check is desired. Python, along with this library, allows me to quickly create custom visualizations that I can tailor to the problem at hand.

Here are the docs: https://plotly.com/python/

I don't have any experience with Folium. I've done similar projects with Plotly. See https://plotly.com/python/ or https://plotly.com/javascript/ for more on that.

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I’ve switched away to Plotly a while ago. It matured a lot in the past year or two. It’s extremely easy to use and I’ve been holding presentations with it routinely. It’s worth a try.

https://plotly.com/python/

I haven’t used matplotlib since! (over 2 years)