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lodash map vs native map (v3)
(version: 0)
Comparing performance of:
lodash vs native vs lodash 2 vs native 2
Created:
5 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Script Preparation code:
var data = Array(1000000).fill({ a: 'a', b: 1 });
Tests:
lodash
_.map(data, ({a, b}) => `${a}_${b}`)
native
data.map(({a, b}) => `${a}_${b}`)
lodash 2
_.map(data, ({a, b}) => `${a}_${b}`)
native 2
data.map(({a, b}) => `${a}_${b}`)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
lodash
native
lodash 2
native 2
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 benchmarks and explore what's being tested on this particular benchmark. **What is being tested?** The provided JSON represents a benchmark that compares the performance of two approaches: 1. Using Lodash (`lodash`) to perform a `map` operation on an array. 2. Performing the same `map` operation natively (without using any libraries). In both cases, the input data is an array of 1 million objects with two properties: `a` and `b`. The `map` function is used to create a new array with transformed objects. **Options compared** The benchmark compares four different versions: * `lodash map` (with version 4.17.5) * Native `map` (without any libraries) * `lodash 2` (a different version of Lodash, likely 2.x or earlier) * Native 2 (another native implementation without using any libraries) **Pros and cons** Here's a brief overview of the pros and cons of each approach: ### Lodash (`lodash`) Pros: * Provides a convenient and concise way to perform common array operations. * Often includes additional utility functions that can simplify code. Cons: * Introduces an external dependency (the library itself). * May have overhead due to the need to load and initialize the library. ### Native `map` Pros: * No external dependencies, reducing overhead. * Typically faster since it doesn't require loading a library. Cons: * Requires more manual coding effort, which can lead to errors or inefficiencies if not done correctly. ### Lodash 2 (`lodash 2`) Since Lodash version 4.x is the most recent and widely used, `lodash 2` might be using an older implementation that's less efficient or has different optimization techniques. Pros: * Might be slightly faster due to optimizations specific to earlier versions of Lodash. Cons: * Still introduces an external dependency, reducing flexibility. * May not include all the features or utility functions available in newer Lodash versions. ### Native 2 Similar pros and cons as Native `map`, but with the added benefit of being a more recent native implementation that might be optimized for better performance. **Library: Lodash** Lodash is a popular JavaScript library developed by Isaac Schlueter. It's designed to provide a functional programming style, making it easier to write concise and efficient code. The library includes a wide range of utility functions, such as array manipulation (`map`, `filter`, etc.), object creation and manipulation (`clone`, `merge`, etc.), and more. The specific version used in this benchmark (4.17.5) is an older one, but it still offers many of the features that made Lodash popular. **Special JS feature or syntax** There are no special JavaScript features or syntax mentioned in this benchmark. The tests only involve standard JavaScript functions like `map` and array operations. Other alternatives If you're interested in exploring other benchmarks or comparing different implementations, here are a few options: * V8 Benchmark Suite: A collection of microbenchmarks that test various aspects of JavaScript performance. * jsBench: A benchmarking framework for JavaScript that allows you to create custom benchmarks. * BenchmarkJS: Another popular benchmarking library for JavaScript that includes a wide range of tests. Keep in mind that the choice of benchmark and implementation will depend on your specific use case, platform, and requirements.
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