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lodash 4.17.21 vs deepmerge 4.3.1
(version: 0)
Comparing performance of:
loadash vs deepmerge
Created:
2 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.21/lodash.min.js" integrity="sha256-qXBd/EfAdjOA2FGrGAG+b3YBn2tn5A6bhz+LSgYD96k=" crossorigin="anonymous"></script> <script src='https://unpkg.com/deepmerge@4.3.1/dist/umd.js'></script>
Tests:
loadash
var a = { a: 'oh', b: 'my', c: { a: 'a', b: { c: 'c' } } }; var b = { c: { b: { d: 'a' }, c: { d: 'd' } } }; var c = _.merge({}, a, b);
deepmerge
var a = { a: 'oh', b: 'my', c: { a: 'a', b: { c: 'c' } } }; var b = { c: { b: { d: 'a' }, c: { d: 'd' } } }; var c = deepmerge({}, a, b);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
loadash
deepmerge
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36
Browser/OS:
Chrome 122 on Windows
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Embed Benchmark Result
Test name
Executions per second
loadash
116134.5 Ops/sec
deepmerge
282653.4 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the details of the benchmark. **Benchmark Overview** The benchmark compares the performance of two JavaScript libraries: Lodash (version 4.17.21) and DeepMerge (version 4.3.1). The test cases focus on merging two objects, `a` and `b`, using each library. **Options Compared** In this benchmark, we have two main options being compared: * **Lodash (`_`)**: A popular utility library that provides a wide range of functions for working with JavaScript data structures. + Pros: - Comprehensive set of functions for various tasks, such as string manipulation, array operations, and more. - Well-established community and extensive documentation. + Cons: - Can be overwhelming to learn and use, especially for simple tasks. - Not optimized for performance in all cases (e.g., very large datasets). * **DeepMerge**: A lightweight library specifically designed for merging objects. + Pros: - Optimized for performance and simplicity when working with objects. - Easy to understand and use, even for developers without extensive JavaScript experience. **Other Considerations** When choosing between Lodash and DeepMerge, consider the following factors: * **Complexity**: If you need to perform complex data transformations or manipulations, Lodash might be a better choice. However, if your primary concern is simple object merging, DeepMerge could be more suitable. * **Size and Complexity of Data**: For very large datasets, performance optimization libraries like Lodash may not be the best fit. In contrast, DeepMerge is designed for smaller-scale data merging. **Library and Purpose** In the benchmark, both Lodash and DeepMerge are used to merge two objects, `a` and `b`. Here's a brief overview of each library: * **Lodash**: Lodash provides a wide range of utility functions for working with JavaScript data structures. In this benchmark, we use the `_merge()` function from Lodash. + Purpose: To provide a comprehensive set of functions for various tasks, making it easier to work with JavaScript data structures. * **DeepMerge**: DeepMerge is a lightweight library specifically designed for merging objects. + Purpose: To provide an efficient and simple way to merge objects. **Special JS Features or Syntax** There are no special JS features or syntax used in this benchmark that would require additional explanation. The focus is on comparing the performance of two libraries, `Lodash` and `DeepMerge`. **Alternatives** If you're looking for alternatives to Lodash or DeepMerge, consider: * **Ramda**: Another popular utility library similar to Lodash. * **UglifyJS**: A popular minifier and compressor that can be used for various purposes, including performance optimization. * **Babel**: A transpiler that helps you use modern JavaScript features in older browsers. Keep in mind that each alternative has its own strengths and weaknesses. Be sure to evaluate your specific needs and requirements before choosing a library or tool.
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