Benchmark: eval vs new Function() vs mathjs (evaluate) vs mathjs (chain)

HTML Preparation code:

<script src="https://unpkg.com/mathjs@13.0.3/lib/browser/math.js"></script>

Script Preparation code:

var func = new Function("return 2 ** 3");

Tests:

eval
let x = eval("2 ** 3");
new Function
let x = func();
mathjs
let x = math.evaluate("2 ** 3");
mathjs-chain
let x = math.chain(2).pow(3)
native power
let x = 2 ** 3

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
eval
new Function
mathjs
mathjs-chain
native power

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 4 months ago)

User agent: Mozilla/5.0 (Windows NT 5.1; rv:52.0) Gecko/20100101 Firefox/52.0

Browser/OS: Firefox 52 on Windows XP

View result in a separate tab

Test name	Executions per second
eval	308220.8 Ops/sec
new Function	216814864.0 Ops/sec
mathjs	0.0 Ops/sec
mathjs-chain	0.0 Ops/sec
native power	849834944.0 Ops/sec

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

LLMs can make mistakes. Check important info.

**Benchmark Overview**

The provided benchmark is designed to compare the performance of different approaches for executing simple mathematical expressions in JavaScript.

**Script Preparation Code and Html Preparation Code**

The script preparation code defines a new function `func` using the `Function` constructor, which returns the value `2 ** 3`. The html preparation code includes a reference to the Math.js library, which is used later in the benchmark.

**Individual Test Cases**

The benchmark consists of six test cases, each representing a different approach for executing a simple mathematical expression:

1. **eval**: Uses the built-in `eval` function to execute the expression `"2 ** 3"`.
2. **new Function**: Creates a new function using the `Function` constructor and calls it with the expression `"2 ** 3"` as an argument.
3. **mathjs (evaluate)**: Uses the Math.js library's `evaluate` method to execute the expression `"2 ** 3"`.
4. **mathjs (chain)**: Uses the Math.js library's `chain` method to create a pipeline of operations, starting with `pow(3)` and then exponentiating 2.
5. **native power**: Executes the expression directly using the exponentiation operator (`**`).
6. **empty function call**: This test case is skipped, as its execution time is reported as 0.

**Library: Math.js**

Math.js is a lightweight JavaScript library for mathematical computations. It provides a simple and intuitive API for performing various mathematical operations, including exponentiation. In this benchmark, Math.js is used to execute expressions using the `evaluate` and `chain` methods.

**Special JS Feature/Syntax: None**

None of the test cases use special JavaScript features or syntax that would affect their execution performance.

**Pros and Cons of Each Approach**

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

* **eval**: Pros: simple to implement, well-supported in most browsers. Cons: security risks due to arbitrary code execution, performance overhead.
* **new Function**: Pros: provides more control over the execution environment, can be used for more complex computations. Cons: slower than native code execution, may incur additional overhead.
* **mathjs (evaluate)**: Pros: provides a lightweight and efficient way to execute mathematical expressions, supports various input formats. Cons: requires additional library dependencies, may have performance overhead due to interpretation.
* **mathjs (chain)**: Pros: provides a flexible pipeline-based approach for complex computations, can be optimized for performance. Cons: may require more memory allocation and deallocation, adds library dependency.

**Other Alternatives**

Some alternative approaches that could be used in similar benchmarks include:

* Using the `Number` function with binary exponentiation algorithms (e.g., Montgomery ladder)
* Implementing a simple recursive descent parser or lexically-scanned compiler for arithmetic expressions
* Using a Just-In-Time (JIT) compiler to optimize the execution of mathematical expressions

However, these alternatives would likely require significant modifications to the benchmark and may not provide comparable results.

Related benchmarks:

eval vs new Function() vs mathjs (evaluate) vs mathjs (chain) (version: 0)

Comparing performance of: eval vs new Function vs mathjs vs mathjs-chain vs native power

Created: 4 months ago by: Guest

Jump to the latest result

eval

new Function

mathjs

mathjs-chain

native power

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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