Benchmark: eval vs Function string interpolation vs pl vs lit 5

Script Preparation code:

var templ = "This is a ${model.type} interpolation example, to ${model.action} the difference between ${model.first} and ${model.second}!";

var models = [];

var model={};

var func = new Function("model", "return `" + templ + "`;");

var funcPlus = new Function("model", "return `'This is a '+model.type+' interpolation example, to '+model.action+' the difference between '+model.first+' and '+model.second+'!'`;");

for (let i=0; i<1000;i++){
  models[i] = {type: Math.random()+'', action: Math.random()+'', first: Math.random()+'', second: Math.random()+''};
}

var z=[];

Tests:

eval
for (let i=0; i<1000;i++) { model=models[i]; z[i]=eval("`" + templ + "`"); }
new Function
for (let i=0; i<1000;i++) { model=models[i]; z[i]=func(model); }
native
for (let i=0; i<1000;i++) { model=models[i]; z[i] = `This is a ${model.type} interpolation example, to ${model.action} the difference between ${model.first} and ${model.second}!`; }
plus
for (let i=0; i<1000;i++) { model=models[i]; z[i] = 'This is a '+model.type+' interpolation example, to '+model.action+' the difference between '+model.first+' and '+model.second+'!'; }
funcPlus
for (let i=0; i<1000;i++) { model=models[i]; z[i]=funcPlus(model); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
eval
new Function
native
plus
funcPlus

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark and explain what's being tested, the pros and cons of each approach, and other considerations.

**Benchmark Overview**

The benchmark compares four different approaches to string interpolation:

1. `eval()`
2. Creating a new `Function` with a string template using `new Function("model", "return ...")`
3. Native string interpolation using template literals (``)
4. Interpolation using a `+` operator with string concatenation

**Library Used**

In this benchmark, the `Function` object is used to create a new function that takes an object as an argument and returns a string. The purpose of this library is to demonstrate how to create a reusable function that can interpolate variables from an object into a string template.

**Special JS Features/Syntax**

The following special JavaScript features/syntax are used in this benchmark:

* Template literals (``)
* String interpolation using `+` operator with string concatenation

**Benchmark Test Cases**

Each test case measures the execution time of each approach on 1000 iterations. The results are compared to determine which approach is the fastest.

Here's a brief explanation of each test case:

1. **eval**: Uses the `eval()` function to evaluate the interpolated string.
2. **new Function**: Creates a new function that takes an object as an argument and returns a string with the interpolation.
3. **native**: Uses native string interpolation using template literals (` ""`).
4. **plus**: Uses string concatenation with the `+` operator to interpolate variables.

**Pros and Cons of Each Approach**

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

1. **eval()**:
	* Pros: Easy to implement, works well for simple cases.
	* Cons: Performance-intensive, can be vulnerable to security risks (e.g., code injection).
2. **new Function**: 
	* Pros: Reusable, flexible, and can handle complex templates.
	* Cons: Performance overhead due to function creation, may have slower execution compared to native interpolation methods.
3. **native**:
	* Pros: Fastest, most efficient, and reliable for simple cases.
	* Cons: May not work well with complex or nested templates.
4. **plus**: 
	* Pros: Simple, easy to implement, and suitable for simple cases.
	* Cons: Performance overhead due to string concatenation, may be slower than native interpolation methods.

**Other Considerations**

When choosing an approach, consider the following factors:

* Performance requirements
* Complexity of templates
* Security concerns (e.g., code injection)
* Reusability and flexibility
* Maintainability and readability

In this benchmark, **native string interpolation** is expected to be the fastest approach due to its built-in performance optimization. However, for more complex or nested templates, a reusable function-based approach like `new Function` might be a better choice.

Keep in mind that the results of this benchmark may vary depending on the specific use case and requirements.

Related benchmarks:

eval vs Function string interpolation vs pl vs lit 5 (version: 0)

Compares how eval() compares to Function in some form of templating

Comparing performance of: eval vs new Function vs native vs plus vs funcPlus

Created: 4 years ago by: Guest

Jump to the latest result

eval

new Function

native

plus

funcPlus

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):