Benchmark: es6 vs lodash - small 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(100).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

Latest run results:

Run details: (Test run date: 5 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36

Browser/OS: Chrome 75 on Windows

View result in a separate tab

Test name	Executions per second
lodash - map	373845.5 Ops/sec
es6 - map	3310780.8 Ops/sec
lodash - forEach	402612.8 Ops/sec
es6 - forEach	8018742.5 Ops/sec
lodash - filter	315392.4 Ops/sec
es6 - filter	1923270.1 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided JSON and explain what is being tested, compared, and some pros and cons of each approach.

**Benchmark Definition**

The benchmark definition describes two JavaScript libraries: Lodash (a utility library) and ES6 (a modern JavaScript standard). The goal is to compare the performance of map, filter, and forEach operations in both libraries on a small array of data.

**Script Preparation Code**

The script preparation code creates an array `data` with 100 elements filled with the value 42.

**Html Preparation Code**

The HTML preparation code includes a script tag that loads the Lodash library (version 4.17.4) from a CDN.

**Individual Test Cases**

There are four test cases:

1. **lodash - map**: tests the `map` function from Lodash on the `data` array.
2. **es6 - map**: tests the `map` function from ES6 syntax on the `data` array.
3. **lodash - forEach**: tests the `forEach` function from Lodash on the `data` array.
4. **es6 - forEach**: tests the `forEach` function from ES6 syntax on the `data` array.
5. **lodash - filter**: tests the `filter` function from Lodash on the `data` array.
6. **es6 - filter**: tests the `filter` function from ES6 syntax on the `data` array.

**Performance Comparison**

The benchmark measures the execution speed of each test case, expressed in executions per second (FPS). The results show that:

* `lodash - forEach` is the fastest (402612 FPS).
* `es6 - map` is the slowest (331078 FPS).

**Pros and Cons of Each Approach**

Here are some pros and cons of using Lodash versus ES6 for array operations:

**Lodash:**

Pros:

* Provides a simple and concise way to perform common operations like filtering, mapping, and iterating.
* Includes many utility functions that can be reused in other parts of the code.

Cons:

* Requires an additional library to be included in the project.
* Can introduce unnecessary overhead due to the need to load an external script.

**ES6:**

Pros:

* Native support for array operations in modern JavaScript engines, eliminating the need for an additional library.
* Provides a more native and efficient way to perform operations on arrays.

Cons:

* Requires support for ES6 features, which may not be widely supported in older browsers or environments.
* Can require more code to achieve the same result as using Lodash.

**Other Considerations**

* **Browser Support:** The benchmark results are only applicable to Chrome 75 on Windows Desktop. Other browsers or devices may have different performance characteristics.
* **Optimization Opportunities:** There may be opportunities to optimize the array operations using techniques like caching, memoization, or parallel processing.
* **Additional Libraries:** Depending on the specific use case, other libraries like Underscore.js or Ramda might be more suitable than Lodash.

Overall, this benchmark highlights the importance of considering performance when choosing a library for array operations. ES6 provides native support, but may not be widely supported in older environments.

Related benchmarks:

es6 vs lodash - small 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 2 months ago):