Plotly.py 5.0 (opens in new tab)

I’m wondering. How does that work in terms of pricing and license? Do you need to pay a fee to plotly?

Whoa Mito is pretty neat! Is there a way to export what I did via the GUI into lines of code?

What is its level of support for interactive 3D plots? Is it build on top of Matplotlib?

Plotly is quite nice but I find Dash's use of HTML for layouts a bit forced. For dashboards I have been using Panel, which supports plotly plots, which keeps things closer to pure python https://panel.holoviz.org/index.html

The Devs recently added support for templates which can handle dynamic layouts (i.e drag and drop). https://panel.holoviz.org/reference/templates/React.html#tem...

Have similar experience with Plotly + Streamlit when PowerBI starts to collapse under its own weight :)

It’s also way simpler to just pull everything in and manipulate it in Pandas, if your data is not pristine from the get-go.

How does Dash compare to Streamlit?

You may want to try out perspective. It seems to be able to do what you want, I’ve been looking to try it myself.

https://perspective.finos.org/

Editable example

https://bl.ocks.org/texodus/45b868833c9f456bd39a51e606412c5d

In this case it's intentional: highlighting divergence from the global average :)

What talk are you referring to?

This is definitely out of date! As of version 4.0, released two years ago, Plotly is "offline/local by default". Check out our docs: https://plotly.com/python/is-plotly-free/#can-i-use-plotly-f...

I fell victim to this a couple of years back! Sometime later I discovered I'd inadvertently published a public dashboard that I really shouldn't have.

Personally, I find matplotlib far more intuitive. It's really easy to just get a plot from the repl in about 3 seconds. It also give you the kind of control you need to produce a publication style figure. But it is really limited if you want basic interactivity, like an informative tooltip. Plotly has much better interactivity. You basically get the tooltips and nice zooming for free. But plotly sucks when it comes to creating one off plots. The whole thing is tied to display in a browser, which I find incredibly annoying. If you aren't building a web page, and aren't using a Jupyter notebook, it's quite the pain.

It's really nice for exploring data. I find whenever I have ~5+ series on a single axis on mpl I start to struggle to differentiate colours & lines etc. I sort of addressed that by getting creative with dash styles etc, but still it's not ideal. Plotly is much more dynamic & I love the call outs etc. I do find it much less intuitive and less well documented than mpl and it's fussy about the shape of the data you give it. Maybe this new version improves on those things.

They already are! Features land in Plotly.js first before being integrated into Plotly.py :)