Plots' backends

The Plots package interfaces many of the plotting packages we described at the beginning of this chapter. Let's list Plots' backends while highlighting their strengths and weaknesses:

• GR: It is fast and supports most of the Plots features.
• Plotly: It creates interactive plots. It is always available.
• PlotlyJS: Like Plotly, but you need to install it. Also, it offers more output formats than the Plotly backend. You can update IJulia inline plots from any cell.
• PyPlot: It uses Python, which can lead to set-up and speed issues. It is a mature library that supports most of the Plots features.
• PGFPlotsX: Its dependency on LaTeX makes it hard to install, but it produces nice publication-quality plots. It supports most of the Plots features.
• UnicodePlots: It supports only a few Plots features. It is fast and allows for plotting in the REPL. You get better-looking bar and box plots when you use UnicodePlots outside Plots.
• InspectDR...