title: Selecting a graphing library in Julia for speed and customizability
body: <p>I found a vast number of libraries for plotting in Julia that includes the following:</p>
  
  <p><code>Winston</code>: 2D plotting for julia looks like it requires <code>Cairo</code> and <code>Color</code>. Examples look like it supports line plots, histograms, scatterplot, and regression. </p>
  
  <p><code>Gadfly</code>: Looks to support <code>Dataframes</code> and uses the <code>Color</code> library. Graphs has a fairly clean look to them. Supports boxplot, line plots, bar plots, histograms, scatter plots, regression, densities, and contours. Runs on vector graphics library <code>Compose.jl</code></p>
  
  <p><code>Pyplot</code>: A wrapper for Matplotlib in python</p>
  
  <p><code>Gaston</code>: Basically a wrapper for GNUplot</p>
  
  <p>Which graphing library is preferred for speed? Are one of the plots using a wrapper faster than the julia based ones?</p>
  
  <p>I use <code>Matplotlib</code> so I am aware it is not the fastest, but has a lots of features. It seems like <code>Gadfly</code> would be the prefer julia based plotting library due to its ability to plot different graphs, is it customizable as <code>matplotlib</code> in terms of being able to control line thickness, point shapes, create dotted lines?</p>