Benchmark: Lodash uniqBy vs Javascript uniqBy

HTML Preparation code:

<script>https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.core.js</script>

Script Preparation code:

var data = [{a: 1}, {a: 2}, {a: 3}, {a: 4}, {a: 5}, {a: 6}, {a: 7}, {a: 8}, {a: 1}];

Tests:

Lodash uniqBy
_.uniqBy(data);
Javascript uniqBy
function uniqBy(arr) { return arr.filter((value, index, self) => index === self.findIndex(obj => JSON.stringify(obj) === JSON.stringify(value)) ); } uniqBy(data);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash uniqBy
Javascript uniqBy

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's dive into the explanation of the benchmark.

**What is being tested?**

The provided JSON represents two microbenchmarks that test the performance of removing duplicate entries from an array while preserving other properties. The tests compare two approaches:

1. Using Lodash (`_.uniqBy` function) to remove duplicates.
2. Implementing a custom `uniqBy` function in JavaScript.

**Options being compared:**

The two options being compared are:

* Lodash's `uniqBy` function, which is a third-party library that provides a robust and efficient way to remove duplicates while preserving other properties.
* A custom implementation of the `uniqBy` function in JavaScript. This implementation uses a similar approach as Lodash's, but is written from scratch.

**Pros and Cons:**

**Lodash (`_.uniqBy`):**

Pros:

* Well-maintained and widely used library with a large user base.
* Optimized for performance and efficiency.
* Easy to use and integrate into existing projects.

Cons:

* Requires including an additional library in the project.
* May not be suitable for smaller projects or those with specific requirements.

**Custom JavaScript implementation:**

Pros:

* Tailored to specific requirements and needs.
* Can be optimized for specific use cases.
* Does not require additional libraries or dependencies.

Cons:

* Requires more development effort and expertise.
* May not be as efficient or performant as Lodash's implementation.

**Other considerations:**

The tests also consider the following factors:

* **Browser-specific behavior:** The benchmark includes data about the browser used, which may affect performance. This highlights the importance of considering different browsers and platforms when writing code.
* **Device platform:** The test is run on a desktop device, which may impact performance compared to mobile or other devices.

**Library description:**

Lodash is a popular JavaScript library that provides a wide range of utility functions for tasks such as array manipulation, string handling, and more. In this case, the `uniqBy` function uses a similar approach to remove duplicates while preserving other properties.

**Special JS feature/syntax:**

There are no special JavaScript features or syntax used in this benchmark. The implementation of the custom `uniqBy` function is straightforward and follows standard JavaScript conventions.

**Alternatives:**

Other alternatives for removing duplicates while preserving other properties include:

* Using a data structure like a Set or Map to keep track of unique values.
* Utilizing libraries like Ramda or Immutable.js, which provide functional programming utilities and tools for data manipulation.
* Implementing a custom algorithm using a hash function, such as the `JSON.stringify` method used in the Lodash implementation.

Related benchmarks:

Lodash uniqBy vs Javascript uniqBy (version: 0)

Comparing performance of: Lodash uniqBy vs Javascript uniqBy

Created: 2 years ago by: Registered User

Jump to the latest result

Lodash uniqBy

Javascript uniqBy

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):