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es6 vs lodash - medium data
(version: 0)
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:
6 years ago
by:
Registered User
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>
Script Preparation code:
var data = Array(10000).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>
Run tests (6)
Previous results
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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:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Overview of the Benchmark** The provided JSON represents a JavaScript microbenchmark that compares the performance of two approaches: using Lodash's `map`, `forEach`, and `filter` functions versus native JavaScript equivalents (`map`, `forEach`, and `filter`). The benchmark tests these functions on an array of 10,000 elements, all filled with the value 42. **Options Compared** The options being compared are: * Lodash's `map` function * Native JavaScript `map` function * Lodash's `forEach` function * Native JavaScript `forEach` function * Lodash's `filter` function * Native JavaScript `filter` function **Pros and Cons of Each Approach** 1. **Lodash's map, forEach, and filter functions** * Pros: + Provide a concise and readable way to perform common array operations. + Often include additional features like handling empty arrays or null/undefined values. * Cons: + May introduce unnecessary overhead due to the library's abstraction layer. + Can be slower than native JavaScript alternatives for very large datasets. 2. **Native JavaScript map, forEach, and filter functions** * Pros: + Are typically faster than Lodash's equivalents due to lower overhead. + Provide direct access to the underlying array data. * Cons: + May require more code and be less readable for complex operations. + Do not provide additional features like handling empty arrays or null/undefined values. **Library: Lodash** Lodash is a popular JavaScript utility library that provides a collection of helper functions for tasks such as array manipulation, string manipulation, and object manipulation. The `map`, `forEach`, and `filter` functions in Lodash are examples of its array utilities. These functions can be useful when working with data structures like arrays or objects, but may introduce unnecessary overhead compared to native JavaScript alternatives. **Special JS Features/Syntax** The benchmark uses modern JavaScript features like arrow functions (`(element) => element`) and template literals (`Array(10000).fill(42)`). **Other Considerations** * The benchmark is specific to an array of 10,000 elements, which may not be representative for smaller or larger datasets. * The results are based on a single browser version (Chrome 99), so the performance characteristics may vary with different browsers or versions. **Alternatives** There are other alternatives to Lodash's `map`, `forEach`, and `filter` functions, such as: * Other utility libraries like Underscore.js or Ramda * Built-in JavaScript functions like `reduce()` and `every()` * Custom-written array utilities using native JavaScript features These alternatives may offer trade-offs in terms of performance, readability, and feature set compared to Lodash's equivalents.
Related benchmarks:
es6 vs lodash - small data
es6 vs lodash - large data
Map: Lodash vs Native
Map: Lodash vs Native JS
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