# \[ANN\] Bokeh.jl, another plotting library!

**URL:** <https://discourse.julialang.org/t/ann-bokeh-jl-another-plotting-library/81070>\
**Category:** Package Announcements\
**Tags:** plotting\
**Created:** [May 14, 2022, 6:54pm UTC](https://discourse.julialang.org/t/ann-bokeh-jl-another-plotting-library/81070 "2022-05-14T18:54:04Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![RoyiAvital](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/royiavital/32/571_2.png) [@RoyiAvital](https://discourse.julialang.org/u/RoyiAvital)\
**Post date:** [May 20, 2022, 10:14pm UTC](https://discourse.julialang.org/t/ann-bokeh-jl-another-plotting-library/81070/5 "2022-05-20T22:14:00Z")

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`Bokeh.jl` is the closest thing to MATLAB’s experience I have seen so far.  
It can handle large data set while maintaining interactivity. Still not as fast as MATLAB but I haven’t seen anything else in Julia that can do this:

```julia
using Bokeh;
Bokeh.settings!(use_browser = true);
hF = figure(tooltips = [("x", "\$x"), ("y", "\$y")]); #<! The tooltips allow hovering over data to see its values
numPts = 1_000_000;
plot!(hF, Scatter, x = randn(numPts), y = randn(numPts));
display(hF); #<! Opens in a browser

```

Well Done!

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