Benchmark: es6 vs lodash - large data

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

Script Preparation code:

var data = Array(1000000).fill(42);

Tests:

lodash - map
_.map(data, (element) => element)
es6 - map
data.map((element) => element)
lodash - forEach
_.forEach(data, (element) => element)
es6 - forEach
data.forEach((element) => element)
lodash - filter
_.filter(data, (element) => element === 42)
es6 - filter
data.filter((element) => element === 42)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash - map
es6 - map
lodash - forEach
es6 - forEach
lodash - filter
es6 - filter

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net!

**Benchmark Overview**

The benchmark compares the performance of `lodash` library functions with their ES6 equivalents when working with large data arrays. The test cases focus on three operations: mapping, filtering, and forEach.

**Libraries Used**

1. **Lodash**: A popular utility library for JavaScript that provides a wide range of functions for tasks such as string manipulation, array manipulation, and more.
2. **ES6 Standard Library**: The modern standard library for JavaScript, which includes built-in functions like `map()`, `filter()`, and `forEach()`.

**Benchmarked Functions**

The benchmark compares the performance of the following Lodash functions with their ES6 equivalents:

1. `_.map(data, (element) => element)`
2. `_._forEach(data, (element) => element)`
3. `.filter(data, (element) => element === 42)`
4. `.map((element) => element)`
5. `.forEach((element) => element)`
6. `.filter((element) => element === 42)`

**Comparison and Analysis**

Here's a brief analysis of the comparison:

* **Mapping**: Lodash's `_.map()` is generally faster than ES6's `map()`, likely due to optimizations in the Lodash implementation.
	+ Pros: Lodash has implemented specific optimizations for array manipulation, making it a more efficient choice for large datasets.
	+ Cons: The performance difference may not be significant for smaller datasets or tasks that don't require extensive array manipulation.
* **Filtering**: Both Lodash's `_.filter()` and ES6's `filter()` are relatively fast, but Lodash has an edge in this case as well. This might be due to the same optimizations applied to `map()`.
	+ Pros: Similar to mapping, Lodash's implementation provides a performance boost for filtering large datasets.
	+ Cons: The small differences may not be noticeable for smaller datasets or tasks with fewer elements.
* **ForEach**: Lodash's `_.forEach()` is slower than ES6's `forEach()`, likely due to additional overhead from the library's execution mechanism.
	+ Pros: If you need to iterate over an array but don't require any specific optimizations, ES6's `forEach()` might be a better choice for performance.
	+ Cons: For large datasets or tasks that benefit from optimized iteration, Lodash's implementation can provide a significant speedup.

**Other Considerations**

* **Execution Frequency**: The benchmark's execution frequency (78.99019622802734 executions per second) is relatively high, indicating that the test case is designed to capture performance differences under load.
* **Browser Variability**: The results are based on Chrome 114 on a Linux desktop, which might not reflect real-world browser variability or performance differences across different platforms.

**Alternatives**

If you're interested in alternative libraries or approaches for array manipulation, consider:

1. **Underscore.js**: Another popular utility library that provides similar functions to Lodash.
2. **Array.prototype methods**: Using native Array.prototype methods like `map()`, `filter()`, and `forEach()` can provide a good balance between performance and readability.
3. **Third-party libraries**: Libraries like Ramda or Fastify provide optimized implementations for array manipulation, which might offer better performance than Lodash.

Keep in mind that the best approach depends on your specific use case, performance requirements, and personal preference.

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36

Browser/OS: Chrome 114 on Linux

View result in a separate tab

Test name	Executions per second
lodash - map	57.8 Ops/sec
es6 - map	50.9 Ops/sec
lodash - forEach	79.0 Ops/sec
es6 - forEach	66.8 Ops/sec
lodash - filter	26.2 Ops/sec
es6 - filter	22.5 Ops/sec

Related benchmarks:

es6 vs lodash - large data (version: 2)

compare map, filter, and forEach lodash vs es6 with small array

Comparing performance of: lodash - map vs es6 - map vs lodash - forEach vs es6 - forEach vs lodash - filter vs es6 - filter

Created: 5 years ago by: Registered User

Jump to the latest result

lodash - map

es6 - map

lodash - forEach

es6 - forEach

lodash - filter

es6 - filter

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):