Cool!! I wonder how the performance compares to Highcharts?
Show HN: Plotting 3 years of hourly data in 150ms
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Re: Show HN: Plotting 3 years of hourly data in 150ms
#12Unfortunately, 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
Re: Show HN: Plotting 3 years of hourly data in 150ms
#13Just want to ask, because I love talking about render performance: have you tried doing this using offfscreen canvas? That should allow you to move a lot of things to a worker, so you avoid blocking the rendering with js? It probably won’t speed up the total time to finished render, but I assume it will lock the page for a shorter period of time?
Re: Show HN: Plotting 3 years of hourly data in 150ms
#14Re: Show HN: Plotting 3 years of hourly data in 150ms
#15Very fast indeed! How do I zoom out?
Re: Show HN: Plotting 3 years of hourly data in 150ms
#16Re: Show HN: Plotting 3 years of hourly data in 150ms
#17Unfortunately, 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
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?
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
Re: Show HN: Plotting 3 years of hourly data in 150ms
#18Re: Show HN: Plotting 3 years of hourly data in 150ms
#19This is really cool! Another great library for working with large time-series datasets is Bokeh ( https://docs.bokeh.org/en/latest/index.html ).