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(version: 1)
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Comparing performance of:
Lodash vs Js
Created:
7 years ago
by:
Registered User
Jump to the latest result
HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>
Script Preparation code:
var data = [1,2,3,4,5];
Tests:
Lodash
_.head(data);
Js
const [head, ...tail] = data;
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
Lodash
Js
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark data and explain what's being tested, compared, and the pros/cons of each approach. **Benchmark Definition JSON** The benchmark definition is a JSON object that contains information about the benchmark to be run. The key fields are: * `Name`: A unique name for the benchmark. * `Description`: A brief description of the benchmark (not used in this case). * `Script Preparation Code` and `Html Preparation Code`: These codes are executed before running each test case, respectively. In this case, the script preparation code is a simple JavaScript array creation: `var data = [1,2,3,4,5];`. This creates an array of 5 elements that will be used in subsequent test cases. The HTML preparation code includes a reference to the Lodash library (version 4.17.4) which will be loaded during benchmark execution. **Individual Test Cases** There are two individual test cases: 1. `_.head(data);` - This line of code uses the Lodash utility function `head()` to extract the first element from the created array. 2. `const [head, ...tail] = data;` - This is a modern JavaScript syntax (introduced in ECMAScript 2019) that uses destructuring to extract the head and tail elements of the array. **Benchmark Results** The latest benchmark result includes two test cases with their respective execution counts per second: * `TestName: "Js"` - The first test case, which uses modern JavaScript syntax, has an execution count of approximately 2.51 million per second. * `TestName: "Lodash"` - The second test case, which uses the Lodash library, has an execution count of approximately 1.31 million per second. **Comparison and Analysis** The two test cases compare the performance of modern JavaScript syntax versus using a library like Lodash for array manipulation. Pros of modern JavaScript syntax: * Faster execution times: Modern JavaScript syntax is often optimized by engines like V8 (used by Chrome) to provide better performance. * Reduced overhead: Without loading an external library, modern JavaScript syntax eliminates the need for additional overhead like network requests or initialization time. Cons of modern JavaScript syntax: * Less readable code: The destructuring syntax can make the code harder to read and understand, especially for developers not familiar with it. * Limited platform support: This syntax is only available in ECMAScript 2019+ browsers and engines. Pros of using Lodash: * Well-maintained library: Lodash is a widely-used and well-tested library that provides a set of utility functions. * Wider platform support: Lodash works across multiple platforms, including older browsers and Node.js versions. Cons of using Lodash: * Additional overhead: Loading the library introduces additional overhead due to network requests or initialization time. * Steeper learning curve: Developers need to learn about the Lodash API and how to use it effectively. **Other Alternatives** If you prefer not to use modern JavaScript syntax, alternative approaches include: 1. Using built-in array methods (e.g., `slice()`, `substring()`): These can be slower than modern syntax but are still supported by most browsers. 2. Loading a different library or implementation: Depending on the specific requirements, other libraries like Immutable.js or Array.prototype.reduce() might be suitable alternatives. However, for most cases, using modern JavaScript syntax is likely to provide better performance and readability.
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