# Fastest time-to-plot for Jupyter demos/tutorials (after precompilation, but from otherwise cold start)?

**URL:** <https://discourse.julialang.org/t/fastest-time-to-plot-for-jupyter-demos-tutorials-after-precompilation-but-from-otherwise-cold-start/8114>\
**Category:** New to Julia\
**Tags:** plotting, tutorials\
**Created:** [January 2, 2018, 6:18pm UTC](https://discourse.julialang.org/t/fastest-time-to-plot-for-jupyter-demos-tutorials-after-precompilation-but-from-otherwise-cold-start/8114 "2018-01-02T18:18:51Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**Author:** ![amellnik](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/amellnik/32/137_2.png) [@amellnik](https://discourse.julialang.org/u/amellnik)\
**Post date:** [January 3, 2018, 8:57pm UTC](https://discourse.julialang.org/t/fastest-time-to-plot-for-jupyter-demos-tutorials-after-precompilation-but-from-otherwise-cold-start/8114/6 "2018-01-03T20:57:00Z")

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```julia
@time begin
    using PlotlyJS
    plot(scatter(x=[1,2,3], y=[1,2,3]), Layout())
end

```

takes 6.5 sec (on my desktop) and works on JuliaBox.

Edit: Whoops – I misread the original question and thought it was using Plots.jl.

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_[View the full topic](https://discourse.julialang.org/t/fastest-time-to-plot-for-jupyter-demos-tutorials-after-precompilation-but-from-otherwise-cold-start/8114)._