Benchmark: y7898yiykhu - MeasureThat.net

HTML Preparation code:

<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.27.0/ramda.js"></script>
<script src="//cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.fp.js"></script>

Script Preparation code:

var data = Array(10000).fill().map(function(_, i) {
  return {
    counter: i
  }
});

function isOdd(num) {
  return num % 2 === 1;
}

function square(num) {
  return num * num;
}

function lessThanThreeDigits(num) {
  return num.toString().length < 3;
}

Tests:

Ramda
var result = R.pipe( R.map(x => x.counter), R.filter(isOdd), R.map(square), R.filter(lessThanThreeDigits) )(data);
lodash fp
var result = _.flow( _.map(x => x.counter), _.filter(isOdd), _.map(square), _.filter(lessThanThreeDigits), )(data);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Ramda
lodash fp

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model gemma2:9b, generated one year ago):

LLMs can make mistakes. Check important info.

This benchmark compares the performance of two JavaScript libraries, Ramda and Lodash FP, when performing a specific data processing task.

**What's being tested:**

The code processes an array of objects (`data`). Each object has a `counter` property representing a numerical index. The libraries apply a series of transformations to this data:

1. **Mapping:** Extracts the `counter` value from each object.
2. **Filtering (Odd Numbers):** Keeps only the objects with odd counter values.
3. **Mapping (Squaring):** Squares each remaining counter value.
4. **Filtering (Less than Three Digits):**  Selects only squared values that are less than three digits long.

Essentially, the benchmark measures how efficiently both libraries can perform these common array operations.

**Options compared:**

* **Ramda:** Uses functional programming concepts with its `pipe` function to chain together transformations in a declarative manner. Ramda's functions are curried (can take multiple arguments one at a time), promoting reusability and composability.
* **Lodash FP:** Employs Lodash's Flowable API, which enables chaining operations through the `.flow` function. Similar to Ramda, it promotes functional programming paradigms.

**Pros/Cons:**

* **Ramda & Lodash FP:**
    * **Pros:** Functional programming style encourages code clarity, reusability, and easier testing due to immutability. Both libraries offer a rich set of functions for common array operations, simplifying complex tasks.
    * **Cons:** Learning curve for functional programming concepts can be steeper compared to imperative programming. Overuse can lead to verbose code if not used judiciously.

**Other considerations:**

* **Context Matters:** The best library depends on the specific use case and project requirements.  Ramda might be preferred for projects heavily emphasizing functional programming principles, while Lodash FP offers broader utility due to its wider range of functions.
* **Benchmark Environment:** Browser differences and JavaScript engine optimizations can influence performance results. It's essential to consider these factors when interpreting benchmarks.

**Alternatives:**

* **Vanilla JavaScript:** Implement the transformations directly using built-in array methods like `map`, `filter`, and `forEach`. This might be more performant in simple cases but requires manual implementation of functional logic.
* **Other Libraries:** Explore libraries like Immutable.js for immutable data structures or RxJS for reactive programming, which can offer alternative approaches to data processing.

Let me know if you'd like a deeper dive into any specific aspect!

Related benchmarks:

y7898yiykhu (version: 4)

Comparing performance of: Ramda vs lodash fp

Created: 6 years ago by: Registered User

Jump to the latest result

Ramda

lodash fp

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model gemma2:9b, generated one year ago):