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Native vs Lodash FP vs Immer
(version: 0)
Comparing performance of:
Native vs Lodash FP vs Immer
Created:
6 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdn.jsdelivr.net/lodash/4.17.4/lodash.fp.min.js'></script> <script src="https://cdn.jsdelivr.net/npm/immer/dist/immer.umd.js"></script>
Script Preparation code:
var array = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z'] var reducer = (r, x) => r + x var immReduce = immer.produce(reducer)
Tests:
Native
array.reduce(reducer, '')
Lodash FP
_.reduce(reducer, '')(array)
Immer
array.reduce(immReduce)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Native
Lodash FP
Immer
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark and explain what's being tested, compared, and its pros and cons. **What is tested?** The test measures the performance of three different approaches to reduce an array: 1. **Native JavaScript**: The built-in `reduce` method in JavaScript, which iterates over the array elements and accumulates a value. 2. **Lodash FP (Functional Programming)**: A library that provides a functional programming style for reducing arrays, which uses higher-order functions like `_.reduce`. 3. **Immer**: A state management library that provides a way to update complex data structures, including arrays, using immutable updates. **Comparison of options** The three approaches are compared in terms of performance, with the goal of determining which one is the fastest. * **Pros and cons:** + **Native JavaScript**: Pros - Lightweight, no external dependencies. Cons - May be slower due to iteration overhead. + **Lodash FP**: Pros - Provides a functional programming style, easier to read and maintain code. Cons - Adds an external dependency (Lodash), may introduce overhead due to function calls. + **Immer**: Pros - Optimized for complex data structures, provides immutable updates. Cons - Requires an additional library dependency, may introduce overhead due to state management. * **Other considerations**: + The benchmark uses a simple reducer function (`r + x`) that accumulates the elements of the array. This reduces the complexity of the test and focuses on the performance of the reduction algorithm. + The benchmark is run on a desktop platform (Mac OS X 10.15.7) using Chrome 119, which may not be representative of all platforms or browsers. **Library usage** * **Lodash FP**: The `_.reduce` function from Lodash is used to reduce the array, providing a functional programming style. * **Immer**: The `immer.produce` function from Immer is used to update the array, providing immutable updates. **Special JS feature or syntax** There are no special JavaScript features or syntax being tested in this benchmark. All code uses standard JavaScript syntax and libraries (Lodash and Immer). **Alternatives** Other alternatives for reducing arrays include: * **Array.prototype.reduce()**: The built-in `reduce` method, which is similar to the Native JavaScript approach. * **ES6 Array.prototype.reduce()**: The modern version of the `reduce` method, which provides a more concise syntax. * **React's useReducer()**: A state management function that can be used to update complex data structures. These alternatives may have different performance characteristics or trade-offs in terms of code readability and maintainability.
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