Benchmark: compare _.SortBy vs Sort

HTML Preparation code:

<script>https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.core.js</script>

Script Preparation code:

var arr = [
    {name: "test", age: 20},
    {name: "best", age: 30},
    {name: "blah", age: 50},
    {name: "js", age: 10},
    {name: "style", age: 29},
];

Tests:

Lodash
_.sortBy(arr, 'age');
Native
const sortBy = function(key){ return (a,b)=> (a[key]>b[key]) ? 1 : (b[key]>a[key]) ? -1 : 0; }; arr.sort(sortBy('age'));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Native

Fastest: N/A

Slowest: N/A

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

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Let's break down the benchmark and explain what is being tested.

The benchmark is comparing two approaches to sorting an array of objects in JavaScript: using Lodash's `sortBy` function versus implementing a custom sorting function from scratch.

**Lodash's `sortBy` Function**

*   **Purpose**: Lodash provides a utility function called `sortBy` that allows you to sort arrays of objects based on a specific key.
*   **Implementation**: The `sortBy` function takes two arguments: the array of objects and the key to sort by. It uses a stable sorting algorithm (usually Timsort or Merge Sort) under the hood, which means it maintains the relative order of equal elements.

**Custom Sorting Function**

*   **Purpose**: This approach implements a simple sorting function from scratch that compares two elements based on their values in the specified key.
*   **Implementation**: The custom sorting function takes two arguments: `a` and `b`, which are the two elements to compare. It returns a negative value if `a` is less than `b`, zero if they are equal, or a positive value if `a` is greater than `b`. This is known as a "strict" comparison.

**Pros and Cons**

*   **Lodash's `sortBy` Function**
    *   Pros:
        *   Faster execution times ( thanks to the optimized sorting algorithm)
        *   More concise code
        *   Less chance of errors due to its use of a stable sorting algorithm
    *   Cons:
        *   External dependency on Lodash (adds overhead for load time and potential compatibility issues)
        *   Less control over the sorting process
*   **Custom Sorting Function**
    *   Pros:
        *   No external dependencies or load times
        *   More control over the sorting process
        *   Potential for better performance due to a simpler implementation
    *   Cons:
        *   Slower execution times (due to the need for explicit comparisons)
        *   Higher chance of errors if not implemented correctly

**Other Considerations**

*   **Stability**: Both approaches are stable, meaning that equal elements will maintain their relative order.
*   **Performance**: The Lodash approach is generally faster due to its optimized sorting algorithm. However, the custom approach may outperform it in certain cases where a simple comparison is sufficient.

**Library and Special JS Feature**

There are no specific libraries or special JavaScript features used in this benchmark beyond what's standard for both approaches (i.e., array sorting).

**Alternative Approaches**

Some alternative approaches to sorting arrays of objects include:

*   Using `Array.prototype.sort()` with a custom compare function
*   Using a library like Moment.js to sort dates
*   Using a library like jQuery to sort DOM elements

However, the question is specifically asking about comparing `_.sortBy` from Lodash and native sorting functions.

In summary, this benchmark compares two approaches to sorting arrays of objects in JavaScript: using Lodash's `sortBy` function versus implementing a custom sorting function from scratch.

Related benchmarks:

compare _.SortBy vs Sort (version: 0)

lodash sortby equivalent in Javascript

Comparing performance of: Lodash vs Native

Created: 7 years ago by: Registered User

Jump to the latest result

Lodash

Native

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):