Benchmark: charting library candidate 1

HTML Preparation code:

<canvas id="myChart"></canvas>
<script src="https://cdn.jsdelivr.net/npm/chart.js@2.8.0"></script>

Tests:

12 days
new Chart(document.getElementById("myChart"), { "type": "line", "data": { "labels": ["January", "February", "March", "April", "May", "June", "July","Aug","Sept","oct","nov","dec"], "datasets": [{ "label": "Price History", "data": [65, 59, 80, 81, 56, 55, 40,65, 59, 80, 81, 56], "fill": false, "borderColor": "rgb(75, 192, 192)", "lineTension": 0 }] }, options: { scales: { yAxes: [{ ticks: { // Include a dollar sign in the ticks callback: function(value, index, values) { return '$' + value; } } }] } } });
30 days
new Chart(document.getElementById("myChart"), { "type": "line", "data": { "labels": ["1", "2", "3", "4", "5", "6", "7","8", "9", "10", "11", "12", "13", "14","15","16","17","18","19","20","21","22","23","24","25","26","27","28","29","30"], "datasets": [{ "label": "Price History", "data": [65, 59, 80, 81, 56, 55, 40,65, 59, 80, 81, 56, 55, 40, 90,65, 59, 80, 81, 56, 55, 40,65, 59, 80, 81, 56, 55, 40, 90], "fill": false, "borderColor": "rgb(75, 192, 192)", "lineTension": 0 }] }, options: { scales: { yAxes: [{ ticks: { // Include a dollar sign in the ticks callback: function(value, index, values) { return '$' + value; } } }] } } });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
12 days
30 days

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

**Benchmark Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided benchmark definition json represents a charting library candidate, Chart.js, which is used to generate line charts.

**Chart.js Library**

The Chart.js library is a popular JavaScript library for creating responsive and interactive charts. It provides a wide range of features, including line charts, bar charts, pie charts, and more.

In this benchmark, the script preparation code includes an external link to the Chart.js library (version 2.8.0). The HTML preparation code includes a `<canvas>` element with an ID of "myChart", which is used as the container for the chart.

**Benchmark Test Cases**

There are two test cases:

1. **12 days**: This test case uses 12 labels and corresponding data points to generate a line chart.
2. **30 days**: This test case uses 30 labels and corresponding data points to generate a line chart, with an additional complexity introduced by the inclusion of a dollar sign in the tick labels.

**Comparison Options**

The benchmark compares two approaches:

1. **Shorter labels**: The first test case (12 days) uses shorter labels, which may result in faster rendering and processing times.
2. **Longer labels**: The second test case (30 days) uses longer labels, which may introduce additional complexity and slow down the rendering process.

**Pros and Cons of Different Approaches**

* **Shorter labels**: Pros:
	+ Faster rendering and processing times
	+ Less memory usage
	+ Smoother chart rendering
* Cons:
	+ May not be suitable for charts with large numbers of data points
	+ Can lead to decreased accuracy in tick label placement
* **Longer labels**: Pros:
	+ Suitable for charts with large numbers of data points
	+ More accurate tick label placement
* Cons:
	+ Slower rendering and processing times
	+ Increased memory usage

**Other Considerations**

* The benchmark also compares the performance of different browsers (Chrome 87) on Mac OS X 10.15.7.
* The chart's scales are customized to include a dollar sign in the tick labels, which may affect the performance and accuracy of the chart.

**Alternative Alternatives**

If you need to optimize your charting library for performance, you may also consider the following alternatives:

1. **Other charting libraries**: Such as D3.js, Highcharts, or FusionCharts.
2. **Custom chart rendering**: Using a custom solution that takes advantage of specific hardware features (e.g., GPU acceleration).
3. **Optimized chart configurations**: Using techniques such as data compression, caching, and lazy loading to reduce the amount of data being processed.

Keep in mind that the best approach will depend on your specific use case, requirements, and performance constraints.

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.67 Safari/537.36

Browser/OS: Chrome 87 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
12 days	852.8 Ops/sec
30 days	368.7 Ops/sec

Related benchmarks:

charting library candidate 1 (version: 0)

Charting library candidate 1 benchmark - 12/30/90

Comparing performance of: 12 days vs 30 days

Created: 3 years ago by: Guest

Jump to the latest result

12 days

30 days

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):