Benchmark: Ramda assocPath vs Lodash set

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.29.1/ramda.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.14.194/lodash.min.js"></script>

Script Preparation code:

var item = {}

Tests:

Ramda
var result = R.assocPath(['a','b','c'], 1, item)
Lodash
var result = _.set(item, 'a.b.c', 1)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Ramda
Lodash

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/123.0.0.0 Safari/537.36

Browser/OS: Chrome 123 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Ramda	4587491.5 Ops/sec
Lodash	4493699.5 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark is comparing two JavaScript libraries: Ramda and Lodash. The goal is to determine which library performs better when executing specific microbenchmarks.

**What is being tested?**

Two test cases are provided:

1. `R.assocPath(['a','b','c'], 1, item)` (Ramda)
2. `_.set(item, 'a.b.c', 1)` (Lodash)

These test cases measure the performance of both libraries when executing a specific JavaScript function. The functions being measured are:

* `R.assocPath`: A Ramda function that creates an association between keys and values in an object.
* `_.set`: An Lodash function that sets the value of a property on an object.

**Options compared**

The two options being compared are:

1. **Ramda**: A functional programming library for JavaScript, known for its concise syntax and immutable data structures.
2. **Lodash**: A utility library for JavaScript, providing a comprehensive set of functions for common tasks such as array manipulation, string processing, and more.

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

* **Ramda**:
	+ Pros: Concise syntax, immutable data structures, and strong focus on functional programming principles.
	+ Cons: Smaller community compared to Lodash, and some users may find its API more complex.
* **Lodash**:
	+ Pros: Large community, extensive documentation, and a wide range of useful functions for common tasks.
	+ Cons: More verbose syntax than Ramda, and some users may find it less efficient due to the overhead of multiple function calls.

**Library and purpose**

Both libraries are JavaScript libraries that provide additional functionality beyond the built-in language features.

* **Ramda**: Focuses on functional programming principles and provides a set of higher-order functions for data manipulation and transformation.
* **Lodash**: Provides a broad range of utility functions for common tasks such as array manipulation, string processing, and more. Its name comes from the idea that it's like "a library of many little helpers".

**Special JS feature or syntax**

No special JavaScript features or syntax are being tested in this benchmark.

**Other alternatives**

If you're looking for alternative libraries to Ramda and Lodash, here are a few options:

* **Underscore.js**: Another utility library similar to Lodash.
* **Mochascript**: A functional programming library inspired by Ramda.
* **Es6 Proxy**: A built-in JavaScript feature that provides a way to create proxy objects for efficient object manipulation.

Keep in mind that each of these alternatives has its own strengths and weaknesses, and may not offer the same level of functionality as Ramda or Lodash.

Related benchmarks:

Ramda assocPath vs Lodash set (version: 0)

Comparing performance of: Ramda vs Lodash

Created: 2 years ago by: Registered User

Jump to the latest result

Ramda

Lodash

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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