Benchmark: ramda vs immer - MeasureThat.net

HTML Preparation code:

<script src="https://unpkg.com/immer"></script>
<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>

Script Preparation code:

var { compose, over, set, lensPath, append } = R

var INITIAL_DATA = { items: {}, count: 0, keys: [] }

for (var index = 0; index < 100; index++) {
  INITIAL_DATA[index] = { id: index, name: `ITEM-${index}`, value: Math.random() }
  INITIAL_DATA.count++
  INITIAL_DATA.keys.push(index)
}

var NEW_ITEM_ID = INITIAL_DATA.count +1

var produce = immer.default

Tests:

ramda
data = compose( over(lensPath(["keys"]), append(NEW_ITEM_ID)), over(lensPath(["count"]), x => x + 1), set(lensPath(["items", NEW_ITEM_ID]), { id: NEW_ITEM_ID, name: "ITEM-NEW", value: 0 }) )(INITIAL_DATA);
immer
data = produce(INITIAL_DATA, draft => { draft.items[NEW_ITEM_ID] = { id: NEW_ITEM_ID, name: 'ITEM-NEW', value: 0 } draft.counter++ draft.keys.push(NEW_ITEM_ID) })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
ramda
immer

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

**Benchmark Overview**

The provided benchmark, titled "ramda vs immer", compares the performance of two JavaScript libraries: Ramda and Immer. The benchmark involves creating and manipulating an initial dataset using both libraries.

**Library Explanation**

1. **Ramda**: Ramda is a functional programming library for JavaScript that provides a comprehensive set of functions for working with data. It's designed to help developers write more concise, expressive, and composable code.
2. **Immer**: Immer is a state management library that provides a simple way to manage immutable state by creating a copy of the current state and updating it.

**Benchmark Test Cases**

The benchmark consists of two test cases:

1. **Ramda Test Case**: The script uses Ramda's `compose`, `over`, `lensPath`, and `append` functions to create a new dataset by modifying the initial dataset. Specifically, it:
	* Updates the `count` property using `x => x + 1`
	* Appends a new item with an ID of `NEW_ITEM_ID` to the `keys` array
	* Sets a new item in the `items` object with an ID of `NEW_ITEM_ID`
2. **Immer Test Case**: The script uses Immer's `produce` function to create a new dataset by updating the initial dataset. Specifically, it:
	* Creates a draft copy of the initial dataset
	* Updates the new item in the draft copy

**Comparison and Analysis**

The benchmark compares the performance of Ramda's functional programming approach with Immer's state management approach.

Pros of **Ramda Approach**:

* More concise and expressive code
* Leverages the power of functional programming to create a new dataset
* Can be more efficient for complex data transformations

Cons of **Ramda Approach**:

* May require more memory due to the creation of a new dataset
* Can lead to performance issues if not optimized correctly

Pros of **Immer Approach**:

* More efficient for state management use cases
* Creates a copy of the current state, reducing the impact on original data
* Simplifies updates and mutations to the state

Cons of **Immer Approach**:

* May require more boilerplate code due to the creation of a draft copy
* Can lead to performance issues if not optimized correctly

**Special JS Feature/ Syntax**

Neither Ramda nor Immer rely on any special JavaScript features or syntax. However, the benchmark assumes that the user has access to the `immer` and `ramda` libraries.

**Other Alternatives**

If you're looking for alternative state management libraries, some popular options include:

* **Redux**: A more traditional state management approach using a single store
* **MobX**: A reactive state management library that automatically updates components when the state changes
* **React Context API**: A state management approach built into React that allows for easy sharing of state between components

If you're looking for alternative functional programming libraries, some popular options include:

* **Lodash**: A utility library that provides a comprehensive set of functions for working with data
* **Preact**: A lightweight alternative to React that provides a more concise and expressive API for building UI components

Related benchmarks:

ramda vs immer (version: 0)

Comparing performance of: ramda vs immer

Created: 4 years ago by: Guest

Jump to the latest result

ramda

immer

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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