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lodash fp vs lodash vs vanilla vs ramda
(version: 0)
Comparing performance of:
Lodash vs Lodash FP vs Vanilla vs Ramda
Created:
7 years ago
by:
Registered User
Jump to the latest result
HTML Preparation code:
<script src='https://cdn.jsdelivr.net/g/lodash@4(lodash.min.js+lodash.fp.min.js)'></script> <script src="//cdn.jsdelivr.net/npm/ramda@0.25.0/dist/ramda.min.js"></script>
Script Preparation code:
var array = [...Array(6000)].fill('l') var reducer = (r, x) => r + x // Use `noConflict` to restore the pre-fp variant. var fp = _.noConflict();
Tests:
Lodash
_.reduce(array, reducer, 0);
Lodash FP
fp.reduce(reducer, 0)(array)
Vanilla
array.reduce(reducer, 0)
Ramda
R.reduce(reducer, 0, array)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
Lodash
Lodash FP
Vanilla
Ramda
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:138.0) Gecko/20100101 Firefox/138.0
Browser/OS:
Firefox 138 on Mac OS X 10.15
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Embed Benchmark Result
Test name
Executions per second
Lodash
37039.5 Ops/sec
Lodash FP
35866.0 Ops/sec
Vanilla
41963.7 Ops/sec
Ramda
31076.1 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'd be happy to explain the provided benchmark and its various aspects. **Benchmark Overview** The given benchmark compares the performance of four different approaches: 1. **Lodash**: A popular JavaScript library that provides utility functions, including `reduce`. 2. **Lodash FP (Functional Programming)**: Lodash's functional programming variant. 3. **Vanilla**: The native JavaScript implementation without any libraries or frameworks. 4. **Ramda**: Another popular JavaScript library that provides a functional programming style. **Options Compared** The benchmark compares the performance of each approach on the same input data: * `_.reduce(array, reducer, 0)`: Lodash's `reduce` function with an initial value of 0. * `fp.reduce(reducer, 0)(array)`: Lodash FP's `reduce` function with an initial value of 0. * `array.reduce(reducer, 0)`: Vanilla JavaScript's `reduce` function without any libraries or frameworks. * `R.reduce(reducer, 0, array)`: Ramda's `reduce` function with an initial value of 0. **Pros and Cons** Here are the pros and cons of each approach: 1. **Lodash FP**: Pros: * Designed for functional programming, making it easier to reason about code. * Often more concise and expressive than traditional JavaScript loops. Cons: * May incur a performance penalty compared to native JavaScript implementations. 2. **Lodash**: Pros: * Well-maintained and widely used library with extensive documentation. * Provides a wide range of utility functions, including `reduce`. Cons: * May introduce unnecessary overhead due to the library's complexity. 3. **Vanilla**: Pros: * No external libraries or frameworks to consider, resulting in fewer potential sources of error. * Can be more optimized for performance since it's implemented in native JavaScript. Cons: * Requires manual looping and indexing, which can lead to errors if not done correctly. 4. **Ramda**: Pros: * Provides a functional programming style similar to Lodash FP, making it easy to reason about code. * Often used in conjunction with other libraries or frameworks, so its performance may be better optimized. **Special JS Features** In this benchmark, the following JavaScript features are not explicitly mentioned: * **Arrow functions**: Used in the `reducer` function for both Lodash FP and Vanilla implementations. * **Template literals**: Not present in any of the provided implementations. * **Async/await**: Not used in any of the provided implementations. **Library Descriptions** Here's a brief description of each library: 1. **Lodash**: A popular JavaScript utility library providing various functions for tasks like array manipulation, object creation, and more. 2. **Ramda**: Another well-known functional programming library for JavaScript, offering a wide range of higher-order functions for data transformation and manipulation. 3. **Lodash FP (Functional Programming)**: Lodash's variant designed specifically for functional programming, providing a more concise and expressive way to write code. **Other Alternatives** For those looking for alternatives or complementary libraries, consider: 1. **Underscore.js**: Another popular utility library similar to Lodash. 2. **Mocha**: A popular testing framework that can be used in conjunction with any of the above libraries. 3. **ES6+ features**: For those familiar with modern JavaScript features, using native functions like `Array.prototype.reduce()` or implementing functional programming styles like arrow functions and higher-order functions. Keep in mind that each library has its own strengths, weaknesses, and use cases.
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