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Lodash cloneDeep vs JSON Clone vs Ramda Clone
(version: 0)
Comparing performance of:
Lodash cloneDeep vs Json clone vs Ramda clone
Created:
6 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>
Script Preparation code:
var MyObject = { description: 'Creates a deep copy of source, which should be an object or an array.', myNumber: 123456789, myBoolean: true, jayson: { stringify: 'JSON.stringify() method converts a JavaScript value to a JSON string....', parse: 'JSON.parse() method parses a JSON string...' } }; var myCopy = null;
Tests:
Lodash cloneDeep
myCopy = _.cloneDeep(MyObject);
Json clone
myCopy = JSON.parse(JSON.stringify(MyObject));
Ramda clone
myCopy = R.clone(MyObject);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Lodash cloneDeep
Json clone
Ramda clone
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** The benchmark is designed to compare three methods for creating a deep copy of an object: 1. `_.cloneDeep` from Lodash 2. `JSON.parse(JSON.stringify())` 3. `R.clone()` from Ramda These methods are being compared because they have different performance characteristics and trade-offs. **Options Compared** The benchmark is comparing the execution time and performance of each method on a specific input object, which contains nested properties: * `MyObject`: + `description`: string + `myNumber`: number (123456789) + `myBoolean`: boolean (true) + `jayson`: an object with two properties: `stringify` and `parse` Each method is being tested on this input object to determine which one produces the fastest execution time. **Pros and Cons of Each Approach** 1. **_.cloneDeep from Lodash** * Pros: + Specifically designed for deep cloning objects + Handles circular references and complex data structures * Cons: + May be slower due to its overhead and complexity 2. **JSON.parse(JSON.stringify())** * Pros: + Very simple and lightweight implementation + Fast execution time due to its minimal overhead * Cons: + Not designed for deep cloning objects, which can lead to incorrect results (e.g., circular references) + May not handle complex data structures or nested arrays 3. **R.clone() from Ramda** * Pros: + Designed for functional programming and immutable data structures + Handles deep cloning and complex data structures efficiently * Cons: + May be slower due to its overhead and complexity **Library Descriptions** 1. **Lodash**: A popular utility library that provides a wide range of functions for tasks like array manipulation, object cloning, and more. 2. **Ramda**: A functional programming library that provides a set of pure functions for data transformation, filtering, mapping, and more. Both libraries are designed to make common programming tasks easier and more efficient, but they have different design philosophies and use cases. **Special JS Features** None mentioned in this benchmark definition. However, it's worth noting that MeasureThat.net may include benchmarks for newer JavaScript features or syntax as they become available. **Other Alternatives** For deep cloning objects, other libraries like `lodash-es`, `immutable-js`, or `fast-json-stable-stringify` might also be used. These alternatives have different trade-offs and performance characteristics, so it's essential to consider the specific requirements of your use case when choosing a library. MeasureThat.net provides a valuable resource for software engineers to compare and contrast different libraries and techniques for common tasks like object cloning. By exploring these benchmarks, developers can make informed decisions about which libraries and approaches to use in their projects.
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