Benchmark: ramda vs lodash.merge vs deepmerge

HTML Preparation code:

<script src='https://raw.githubusercontent.com/lodash/lodash/4.17.19/npm-package/lodash.js'></script>
<script src='https://unpkg.com/deepmerge@4.2.2/dist/umd.js'></script>
<script src="//cdn.jsdelivr.net/npm/ramda@latest/dist/ramda.min.js"></script>

Script Preparation code:

var a = {
    a: 'oh',
    b: 'my',
    c: {
        a: 'a',
        b: {
            c: 'c'
        }
    }
};
var b = {
    c: {
        b: {
            d: 'a'
        },
        c: {
            d: 'd'
        }
    }
};
var x = {
    foo: {
        bar: 3
    },
    array: [{
        does: 'work',
        too: [1, 2, 3]
    }]
};
var y = {
    foo: {
        baz: 4
    },
    quux: 5,
    array: [{
        does: 'work',
        too: [4, 5, 6]
    }, {
        really: 'yes'
    }]
};

Tests:

lodash
var c = _.merge({}, a, b); var z = _.merge({}, x, y);
deepmerge
var c = deepmerge({}, a, b); var z = deepmerge({}, x, y);
ramda
var c = R.mergeAll({}, a, b); var z = R.mergeAll({}, x, y);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash
deepmerge
ramda

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36

Browser/OS: Chrome 121 on Mac OS X 10.15.7

View result in a separate tab

ramda

3.0M/s

deepmerge

724K/s

lodash

271K/s

View exact numbers

Test name	Executions per second
✓ ramda	3,009,850 Ops/sec
deepmerge	723,590 Ops/sec
lodash	271,211 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's dive into the benchmarking process.

**Benchmark Definition**

The provided JSON represents a JavaScript microbenchmarking test case. It defines three individual tests, each using a different library to merge two objects:

1. `lodash.merge`
2. `deepmerge`
3. `ramda.mergeAll`

These libraries are used for deep object merging.

**Library Overview and Purpose**

* **Lodash**: Lodash is a popular JavaScript utility library that provides a wide range of functions, including the `merge` function. The `merge` function allows you to combine two objects into one, recursively merging properties as needed.
* **DeepMerge**: DeepMerge is another library specifically designed for deep object merging. It's optimized for performance and can handle complex merge scenarios.
* **Ramda**: Ramda is a functional programming library that includes the `mergeAll` function. This function merges multiple arrays or objects into one, while also handling nested structures.

**Options Compared**

In this benchmark, the same input objects (`a`, `b`, `x`, and `y`) are used as inputs for each test case. The differences lie in how the merge functions handle the nested structure of these objects:

* **Lodash**: Lodash's `merge` function will recursively merge properties from both objects, but it might not preserve the original object structure.
* **DeepMerge**: DeepMerge is designed to produce a deep clone of one of the input objects and then merge the other object into that clone, preserving the original structure.
* **Ramda**: Ramda's `mergeAll` function merges all input arrays or objects into one, but it can't be used directly with nested structures like this. Instead, you'd need to use `R.mergeAll` with an array of objects.

**Pros and Cons**

Here are some pros and cons for each library:

* **Lodash**: Pros:
	+ Wide range of utility functions
	+ Easy to learn and use
Cons:
	+ Not specifically designed for deep object merging
	+ Might not preserve original structure
* **DeepMerge**: Pros:
	+ Optimized for performance
	+ Preserves original structure
Cons:
	+ Limited functionality compared to Lodash
	+ Might be overkill for simple merge tasks
* **Ramda**: Pros:
	+ Functional programming benefits
	+ Can handle complex data structures
Cons:
	+ Steeper learning curve due to functional programming concepts
	+ Not directly designed for deep object merging

**Other Considerations**

When choosing a library, consider the following factors:

* Performance: DeepMerge is optimized for performance, but Lodash's `merge` function might be faster in some cases.
* Code readability and maintainability: Lodash's API is generally more readable and intuitive than Ramda's, while DeepMerge's API is concise but less well-known.
* Data structure handling: If you need to handle complex nested structures or arrays, Ramda's `mergeAll` function might be a better choice.

**Alternatives**

If none of these libraries are suitable for your use case, consider the following alternatives:

* **Immutable.js**: A library that focuses on immutable data structures and provides a deep merge function.
* **lodash-es**: A variant of Lodash with additional features, including a more modern API and improved performance.
* **jsdeep**: A library designed specifically for deep object merging, with a focus on performance and ease of use.

ramda vs lodash.merge vs deepmerge (version: 0)

Comparing performance of: `lodash vs deepmerge vs ramda`

Created: 6 years ago by: Guest

Go to the latest result

lodash

deepmerge

ramda

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

ramda vs lodash.merge vs deepmerge (version: 0)

Comparing performance of: lodash vs deepmerge vs ramda

Created: 6 years ago by: Guest

Go to the latest result

lodash

deepmerge

ramda

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

Related benchmarks

Comparing performance of: `lodash vs deepmerge vs ramda`