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Comment by leeoniya | Hacker News Reader

Unfortunately, I have to use Google Analytics and Google Ads at work every day, and these UIs have absolutely terrible performance :(

A small part of the problem is drawing the trend charts. So I decided to make uPlot [1] to see what was really possible.

[1] https://github.com/leeoniya/uPlot

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Honestly the title doesn't do it justice. For a plotting tool it's not an impossible task, but making a webpage this responsive is incredibly hard, so well done there.

it's an understatement for sure :)

a lot of time is spent on just DOM layout and JITing the JS, which get amortized with huge datasets. the 166k bench doesnt take any longer.

Kudos for directing folks to other projects if uPlot isn't fast enough for them. Every developer should take the time to write out appropriate and inappropriate use-cases on the readme.

Hi, I'm very interested in this. I've been using dask/plotly for a side project but it's just too slow. If you know dask, do you think you could discuss which features of dask your project has and doesn't have?

Here's a Dash app that use Dask & Datashader for fast aggregations on +40M rows: https://dash-gallery.plotly.host/dash-world-cell-towers

The source code, which can be used as a Dash + Dask boilerplate, is here: https://github.com/plotly/dash-world-cell-towers

Feel free to ask questions at community.plot.ly

I don't think that actually plots the 40M points, just aggregates them in Python and plots a small section of that data on the website?

I believe so. An optimization of Datashader is that it _doesn't_ plot all the points, but rather optimizes which points actually influence pixel values.

It plots cell towers in the middle of my residential neighborhood where i absolutely sure there aren't any

maybe they're Stingrays ;)

https://en.m.wikipedia.org/wiki/Stingray_phone_tracker

Maybe. However cellmapper.net shows few cell towers where they actually exists and this map doesn't show them.

Credibility?

https://community.opencellid.org/t/range-of-a-tower/370/2

>The range field tells you the approximate area within which the cell could be, in metres. This is effectively an estimate of how accurate the location is.

There's one marked in the middle of a corn field near me with a range of 48,000m. ?

This is awesome. I wrote some software to pull readings off my weather station and stream them to the browser. The plotting library that I use is pretty awful. Besides being slow, it's constantly hosing up the numbers on the y-axis. I want to give uPlot a shot.

Station: https://carlisleweather.com

Software: https://github.com/chrissnell/gopherwx

Hopefully the upvotes and being on the front page is enough, but if not just want to say props, this is amazing. Already had it saved in my bookmarks glad to see it pop up again :)

thanks!

The 166k benchmark is ridiculously snappy. Could you shave off a few more ms by inlining the JSON as a data block?

probably, but something about diminishing returns...:p

This is fantastic and may solve a real problem for me. Thank you so much, and thank you for the MIT license!

I like this a lot! Reminds me of dygraphs, and then I saw it in that in the acknowledgements :)

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That's rather beautiful.

This is just incredible.

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