Benchmark: tstssss - MeasureThat.net

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.min.js"></script>

Tests:

es6
var cars = [{ make: 'audi', model: 'r8', year: '2012' }, { make: 'audi', model: 'rs5', year: '2013' }, { make: 'ford', model: 'mustang', year: '2012' }, { make: 'ford', model: 'fusion', year: '2015' }, { make: 'kia', model: 'optima', year: '2012' }], result = cars.reduce(function (r, a) { r[a.make] = r[a.make] || []; r[a.make].push(a); return r; }, Object.create(null));
lodash
var a = [{ make: 'audi', model: 'r8', year: '2012' }, { make: 'audi', model: 'rs5', year: '2013' }, { make: 'ford', model: 'mustang', year: '2012' }, { make: 'ford', model: 'fusion', year: '2015' }, { make: 'kia', model: 'optima', year: '2012' }]; var b = _.groupBy(a, 'make');

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
es6
lodash

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

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Let's dive into the world of MeasureThat.net, where JavaScript microbenchmarks come to life.

**Benchmark Definition**

The provided JSON represents a benchmark definition for two test cases: `es6` and `lodash`. The "Script Preparation Code" field is empty, indicating that no custom script preparation code is required. However, the "Html Preparation Code" field includes a reference to the Lodash library (`<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.min.js"></script>`), which will be used in one of the test cases.

**Options Compared**

The benchmark compares two approaches:

1. **ES6 (ECMAScript 6)**: This approach uses vanilla JavaScript to group cars by make.
2. **Lodash**: This approach utilizes the Lodash library, specifically the `_.groupBy()` function, to achieve the same grouping result.

**Pros and Cons**

**ES6 Approach:**

Pros:

* Lightweight and self-contained, relying only on built-in JavaScript features.
* No external dependencies, making it easier to test in isolation.
* Can be more intuitive for developers familiar with vanilla JavaScript.

Cons:

* May require additional setup or manual implementation of the grouping logic.
* Performance might be affected by the overhead of parsing the code.

**Lodash Approach:**

Pros:

* Utilizes a well-maintained and widely-used library, which can provide performance benefits.
* Reduces the need for manual implementation and reduces potential errors.

Cons:

* Introduces an external dependency, which may not be desirable in some testing scenarios.
* Requires careful consideration of version compatibility and dependencies when updating or testing with different Lodash versions.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks such as array manipulation, functional programming, and more. In this benchmark, the `_.groupBy()` function is used to group the cars by make, simplifying the code and reducing the need for manual implementation.

**Special JS Feature or Syntax**

Neither test case uses any special JavaScript features or syntax that would require explanation beyond the standard ES6 and Lodash libraries.

**Other Alternatives**

If the benchmark were to explore additional options, other approaches could include:

1. **NativeScript**: Using a hybrid mobile app framework like NativeScript, which allows for native performance.
2. **V8.js**: Utilizing the V8 JavaScript engine directly in a Node.js environment for improved performance and control.
3. **Other libraries or frameworks**: Alternative utility libraries like Moment.js (for date manipulation) or React (for building complex UI components).

These alternatives would require careful consideration of their specific use cases, dependencies, and potential overhead.

In summary, the MeasureThat.net benchmark compares two approaches: using vanilla JavaScript to group cars by make (ES6) versus utilizing the Lodash library for a similar grouping result. While each approach has its pros and cons, the Lodash approach introduces an external dependency, while the ES6 approach relies on manual implementation of the grouping logic.

Related benchmarks:

tstssss (version: 0)

tstsssss

Comparing performance of: es6 vs lodash

Created: 6 years ago by: Guest

Jump to the latest result

es6

lodash

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):