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testingelad2
(version: 0)
Comparing performance of:
Lodash vs Immutable
Created:
5 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src="https://cdnjs.cloudflare.com/ajax/libs/immutable/3.8.2/immutable.min.js"></script> <section id="section"> </section>
Tests:
Lodash
const obj = [1, 2, 3, 4, 5, 6] const obj2 = _.cloneDeep(obj); obj2.push(7)
Immutable
const obj = [1, 2, 3, 4, 5, 6] const obj2 = Immutable.List(obj) const obj3 = obj2.push(7)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Lodash
Immutable
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net. **Benchmark Definition JSON** The provided Benchmark Definition JSON represents a benchmark that tests two different approaches: Lodash and Immutable.js. Here's what's being tested: * A script that creates an array `obj` with numbers 1 to 6. * Another script that clones the original array using either Lodash or Immutable.js, and then pushes a new number 7 onto the cloned array. **Options Compared** The two options compared are: * **Lodash**: The benchmark uses Lodash's `cloneDeep()` function to create a deep copy of the original array. This allows for modifications to be made to the cloned array without affecting the original. * **Immutable.js**: The benchmark uses Immutable.js's `List` class to create an immutable data structure, which is then modified by pushing a new number onto it. **Pros and Cons** **Lodash:** Pros: * Faster execution times due to the use of a lightweight library that only includes the necessary functions. * Easier to understand and maintain, as Lodash's API is well-documented and widely used. Cons: * May not be suitable for large-scale applications or high-performance scenarios due to its relatively small size and potential overhead. **Immutable.js:** Pros: * Provides a more robust and efficient way of working with immutable data structures, which can lead to better performance and scalability. * Can help prevent unexpected side effects by making it harder to modify the original state. Cons: * May require additional setup and configuration due to its own ecosystem and learning curve. * Can be slower than Lodash for small-scale applications or simple cloning operations. **Other Considerations** * The benchmark assumes that both libraries are properly imported and configured, which may not always be the case in real-world scenarios. * The use of `cloneDeep()` and `Immutable.List` implies that the benchmark is optimized for creating a deep copy or an immutable list, respectively. This might not be suitable for all use cases. **Library Usage** In this benchmark: * Lodash's `cloneDeep()` function is used to create a deep copy of the original array. * Immutable.js's `List` class is used to create an immutable data structure that can be modified by pushing a new number onto it. **Special JS Features or Syntax** There are no special JavaScript features or syntax mentioned in this benchmark. However, if we consider the use of `const` and template literals (e.g., `obj = [1, 2, 3, 4, 5, 6]`), these are modern JavaScript features that are widely supported. **Alternatives** If you're interested in exploring alternative libraries or approaches, here are a few options: * **Underscore.js**: Another popular utility library that provides similar functionality to Lodash. * **Ramda**: A functional programming library that offers a different set of functions for working with arrays and objects. * **JavaScript's built-in `Array.prototype.slice()``: This can be used as an alternative to cloning or creating immutable data structures, but may not provide the same level of performance or flexibility. Keep in mind that this is just a brief overview of the benchmark, and there are many more nuances and considerations when working with JavaScript libraries and data structures.
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