This is a tool to plot the results of go benchmarks. It assumes that each sub-benchmark is named as var_name=var_value.
The input is the output of a go benchmark.
benchplot -bench ${bench} -x ${x_var} ${FILE}
Where ${FILE} is the path to a file containing the output of a go benchmark (if empty or "-" stdin is used), ${bench} is the name of the benchmark to plot, and ${x_var} is the name of the variable to use for the x-axis of the plot.
Full flag set:
-bench string
The name of the benchmark to plot
-filter-by value
Expressions to filter results by. Form: 'var_name==var_value'. Available comparison operations: ["==" "!=" "<" ">" "<=" ">="]
-group-by value
The variables to group results by (an input to the benchmark)
-h Show this help message and exit
-height float
The height of the output figure (default 500)
-left-legend
Display legend on left edge of plot (default is on right edge)
-o string
The output file name with extension (if empty will be set to ${bench}.png)
-plots value
The plots to generate (options = ["scatter" "avg_line"]). If empty will default to ["scatter" "avg_line"] for numeric data
-top-legend
Display legend on top edge of plot (default is on bottom edge)
-width float
The width of the output figure (default 500)
-x string
The name of the x-axis variable (an input to the benchmark)
-y string
The name of the y-axis variable (default "time")
Plotting the results of BenchmarkGroupResults (in benchmark_test.go of benchparse repo):
go test ./benchmark -run ! -bench BenchmarkGroupResults -count 3 -race | benchplot -bench BenchmarkGroupResults -group-by group_by_count -x num_results
Right now the main focus is bringing the feature set to parity with my initial implementation of this tool which used Python and matplotlib. This includes supporting bar charts (which would be the default if the provided ${x_var} had non-numeric data) and filtering of data.