Basic use in Python: Filling histograms from Numpy arrays and Pandas dataframes, composite histograms, plotting them with Matplotlib, many histograms at once, storing and retrieving them.
Advanced use in Python: Filling histograms from Spark dataframes, making and configuring many histograms at once from a dataframe.
Basic use in Scala: Histogrammar without any custom front-ends (for plotting) or back-ends (for aggregation). Focuses on the basics of making aggregations, what makes Histogrammar different, and ASCII-art plots.
HistogrammarWatch (hgwatch): stream aggregated data as JSON by appending to a file, a UNIX pipe, or through a socket or remote ssh connection to send interactive plots through any interface you can read as text.