# PyPlotly.jl
**URL:** https://discourse.julialang.org/t/pyplotly-jl/76035
**Category:** Package Announcements
**Created:** [February 8, 2022, 3:50pm UTC](https://discourse.julialang.org/t/pyplotly-jl/76035 "2022-02-08T15:50:00Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@terasakisatoshi](https://discourse.julialang.org/u/terasakisatoshi)
#### Post date: [February 8, 2022, 3:50pm UTC](https://discourse.julialang.org/t/pyplotly-jl/76035/1 "2022-02-08T15:50:00Z")
Hello, everyone. I’ve created a Julia package named PyPlotly.jl which provides us Julia interface for [plotly](https://plotly.com/).
I know, there are `PlotlyJS.jl` and `Plotly.jl` (including `Plots.jl` with function call `plotly()`), but when it comes to borrowing code written in Python, especially including `import plotly.graph_objects as go` and `import plotly.express as px` I think wrapping plotly with PyCall.jl is useful.
Check out the link below:
> **[GitHub - AtelierArith/PyPlotly.jl: Pythonista friendly Julia interface for...](https://github.com/AtelierArith/PyPlotly.jl)**
>
> Pythonista friendly Julia interface for plotly. Contribute to AtelierArith/PyPlotly.jl development by creating an account on GitHub.
Here is a sample code.
I hope you like it. If someone wants to use this functionality, I would like to register this package.
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### Author:  [@terasakisatoshi](https://discourse.julialang.org/u/terasakisatoshi)
#### Post date: [February 10, 2022, 12:49pm UTC](https://discourse.julialang.org/t/pyplotly-jl/76035/2 "2022-02-10T12:49:26Z")
Good news!!! PyPlotly.jl meets Dash.jl
[https://github.com/plotly/Dash.jl/issues/50#issuecomment-1033853288](https://github.com/plotly/Dash.jl/issues/50#issuecomment-1033853288)
[https://github.com/plotly/Dash.jl/issues/50#issuecomment-1033972687](https://github.com/plotly/Dash.jl/issues/50#issuecomment-1033972687)