This Getting Started guide explains how to install PlotlyJS and related optional pages. exporting notebooks to PDF with high-quality vector images). QtConsole, Spyder, P圜harm) and static document publishing (e.g. Thanks to deep integration with our Kaleido image export utility, PlotlyJS also provides great support for non-web contexts including desktop editors (e.g. The PlotlyJS Julia library is an interactive, open-source plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases.īuilt on top of the Plotly JavaScript library ( plotly.js), PlotlyJS enables Julia users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Julia-built web applications using Dash.jl.
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