Benchmark: _.pickBy vs native

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var obj = Array(1000)
  .fill()
  .reduce((acc, curr, i) => {
    acc[i] = i;
    return acc;
  }, {});
var predicate = v => v % 2 === 0;

Tests:

_.pickBy
_.pickBy(obj, predicate);
native
Object.entries(obj).reduce((acc, [k, v]) => { if (predicate(v)) acc[k] = v; return acc; }, {});
soy
Object.fromEntries(Object.entries(obj).filter(([k, v]) => predicate(v)));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.pickBy
native
soy

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

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

**Benchmark Overview**

The benchmark measures the performance of three approaches to filter an object: `_.pickBy` from Lodash, the native JavaScript approach using `Object.entries`, and another alternative called "soy".

**Script Preparation Code**

The script preparation code creates a large array of 1000 objects with unique indices. Each object has a value that can be either even or odd.

```javascript
var obj = Array(1000)
  .fill()
  .reduce((acc, curr, i) => {
    acc[i] = i;
    return acc;
  }, {});

var predicate = v => v % 2 === 0;
```

The `predicate` function is used to filter the objects based on whether their value is even.

**Html Preparation Code**

The HTML preparation code includes a reference to Lodash, which is required for the `.pickBy` approach.

```html
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
```

**Individual Test Cases**

There are three test cases:

1. `_.pickBy`: This test case uses Lodash's `pickBy` function to filter the object based on the predicate.
2. `native`: This test case uses the native JavaScript approach using `Object.entries` and `filter`.
3. `soy`: This test case uses another alternative approach called "soy", which is not a widely known or maintained library.

**What's being compared?**

The benchmark compares the performance of three approaches to filter an object:

* `.pickBy` from Lodash
* The native JavaScript approach using `Object.entries` and `filter`
* Another alternative approach called "soy" (which is not well-known or maintained)

**Pros and Cons of each approach:**

1. `.pickBy` (Lodash):
	* Pros:
		+ Convenient and concise syntax
		+ Works with other Lodash functions for chaining
	* Cons:
		+ Additional dependency on Lodash
		+ May have a higher overhead due to the library
2. Native JavaScript:
	* Pros:
		+ No additional dependencies or overhead
		+ Optimized for performance
	* Cons:
		+ More verbose syntax
		+ Requires understanding of JavaScript array methods
3. Soy (alternative approach):
	* Not enough information is available about this approach, and it's not clear what its performance characteristics are.

**Other considerations:**

* The benchmark measures the execution speed, but does not consider other factors such as memory usage or cache behavior.
* The use of a large array with 1000 objects may be too small for a representative test case. A larger dataset might provide more accurate results.
* The benchmark only tests filtering an object based on a predicate. Other filtering scenarios, such as filtering by multiple conditions or using other data structures (e.g., Maps), are not tested.

**Alternatives:**

If you're looking for alternative approaches to filter objects in JavaScript, here are some options:

* Using `Array.prototype.filter()` method
* Using `Object.keys()` and `reduce()`
* Using `Map` data structure with the `get()` method

Keep in mind that each approach has its own trade-offs, and the choice of which one to use depends on your specific requirements and performance constraints.

Latest run results:

Run details: (Test run date: 10 days ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36

Browser/OS: Chrome 130 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
_.pickBy	38110.3 Ops/sec
native	15151.9 Ops/sec
soy	12933.1 Ops/sec

Related benchmarks:

_.pickBy vs native (version: 0)

Comparing performance of: _.pickBy vs native vs soy

Created: 4 years ago by: Guest

Jump to the latest result

_.pickBy

native

soy

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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