TickTackJS

Timer & timing function analysis library for JavaScript

Overview

TickTackJS is a timer & timing function analysis library for JavaScript.

TickTackJS allows to perform tests on timers and timing functions to get the monotonicity, granularity (cluster-based analysis) and cost of call. It also provides several kinds of plots of gathered results (in a Flot-compatible JSON format).

Features

Data gathering

• Logging
• Benchmarking

Data preprocessing

• Diffs
• Cluster detection

Stats

• Maximum
• Minimum
• Mean
• Median
• Q1
• Q3
• Standard deviation
• Standard Error of Mean
• Histogram

Plots

• Raw data plot.
• Diff data plot.
• Raw data histogram plot.
• Diff data histogram plot.

How to use it

How to use it

Include TickTackJS and Flot + jQuery:

<script language="javascript" type="text/javascript" src="js/jquery.min.js"></script>
<script language="javascript" type="text/javascript" src="js/jquery.flot.min.js"></script>
<script language="javascript" type="text/javascript" src="js/ticktack.js"></script>

Create a TickTackJS Dataset:

var test = new TickTack.Test('Test Date');

Benchmark a timing function:

test.benchmark(function () { return +new Date; }, 1000);

Analyze data:

test.analyze();

Get monotonicity, granularity and cost of the timing function call:

console.log(test.getMonotonicity(), test.getGranularity(), test.getCost());

Generate a plot (it will be placed in a div with id='plot1'):

var plot1 = test.test.getDataPlot(test.dataset, 1)
$.plot($('#plot1'), plot1.values, plot1.options);

Acknowledgements

Plots are created using Flot, a pure Javascript plotting library for jQuery, by Ole Laursen http://code.google.com/p/flot/.