Benchmark: Native.toFixed() vs bignumber.js vs big.js vs decimal.js

HTML Preparation code:

<!--script src="https://raw.githubusercontent.com/iriscouch/bigdecimal.js/v0.6.1/lib/bigdecimal.js"></script-->
<script src="https://cdnjs.cloudflare.com/ajax/libs/bignumber.js/9.0.1/bignumber.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/big.js/6.0.3/big.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/decimal.js/10.2.1/decimal.min.js"></script>
<!--script src="https://raw.githubusercontent.com/infusion/Fraction.js/v4.0.12/fraction.min.js"></script-->

Tests:

decimal.js
var a = new Decimal("0.1"); var b = new Decimal("0.2"); a.plus(b).times(b).toString();
big.js
var a = new Big("0.1"); var b = new Big("0.2"); a.plus(b).mul(b).toString();
bignumber.js
var a = new BigNumber("0.1"); var b = new BigNumber("0.2"); a.plus(b).multipliedBy(b).toString();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
decimal.js
big.js
bignumber.js

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 10 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36

Browser/OS: Chrome 122 on Windows

View result in a separate tab

Test name	Executions per second
decimal.js	693826.1 Ops/sec
big.js	1271232.1 Ops/sec
bignumber.js	676916.6 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what is being tested, compared options, pros and cons of those approaches, and other considerations.

**Benchmark Overview**

The benchmark compares the performance of three libraries: `bignumber.js`, `big.js`, and `decimal.js`. The test cases are designed to measure the execution time of specific arithmetic operations using each library.

**Test Cases**

There are three individual test cases:

1. **`decimal.js`**: Measures the performance of decimal arithmetic using the `Decimal` class.
	* Benchmark Definition: `var a = new Decimal("0.1"); var b = new Decimal("0.2"); a.plus(b).times(b).toString();`
2. **`big.js`**: Measures the performance of big integer arithmetic using the `Big` class.
	* Benchmark Definition: `var a = new Big("0.1"); var b = new Big("0.2"); a.plus(b).mul(b).toString();`
3. **`bignumber.js`**: Measures the performance of big number arithmetic using the `BigNumber` class.
	* Benchmark Definition: `var a = new BigNumber("0.1"); var b = new BigNumber("0.2"); a.plus(b).multipliedBy(b).toString();`

**Comparison of Options**

The three libraries are compared in terms of their performance, precision, and usability.

* **Precision**: All three libraries support arbitrary-precision arithmetic, which means they can handle very large numbers without losing accuracy.
* **Performance**: The benchmark measures the execution time of each operation. `bignumber.js` is expected to be faster than the other two due to its optimized JavaScript implementation.
* **Usability**: Each library has its own strengths and weaknesses:
	+ `decimal.js`: Designed for precise decimal arithmetic, but may not be suitable for very large numbers.
	+ `big.js`: Provides a simple and intuitive API, but may not offer the same level of performance as `bignumber.js`.
	+ `bignumber.js`: Offers high performance and a robust feature set, making it a popular choice for big number arithmetic.

**Pros and Cons**

* **`decimal.js`**:
	+ Pros: Precise decimal arithmetic, easy to use.
	+ Cons: May not be suitable for very large numbers, slower than `bignumber.js`.
* **`big.js`**:
	+ Pros: Simple and intuitive API, fast execution times.
	+ Cons: May not offer the same level of performance as `bignumber.js`, limited features compared to other libraries.
* **`bignumber.js`**:
	+ Pros: High performance, robust feature set, suitable for very large numbers.
	+ Cons: Steeper learning curve due to its JavaScript implementation.

**Other Considerations**

* **Fraction.js**: Although not explicitly mentioned in the benchmark definition, Fraction.js is a separate library that provides similar functionality to `decimal.js`. Its inclusion would further complicate the comparison.
* **NativetoFixed()**: The native JavaScript method `toFixed()` is also included in the benchmark. This method uses the browser's native arithmetic implementation and may not offer the same level of performance or precision as the libraries.

**Alternatives**

If you're looking for alternatives to these libraries, consider:

* **`Big.js`**: A JavaScript implementation of the Big Number library.
* **`decimal.js`**: Another popular decimal arithmetic library.
* **`js-bigint`**: A lightweight JavaScript implementation of arbitrary-precision integers.
* **Native `toFixed()`**: For simple cases where precision and performance are not critical.

Ultimately, the choice of library depends on your specific requirements, such as precision, performance, or ease of use.

Related benchmarks:

Native.toFixed() vs bignumber.js vs big.js vs decimal.js (version: 0)

- https://github.com/MikeMcl/bignumber.js/tree/v9.0.0 - https://github.com/MikeMcl/big.js/tree/v5.2.2 - https://github.com/MikeMcl/decimal.js/tree/v10.2.0

Comparing performance of: decimal.js vs big.js vs bignumber.js

Created: 10 months ago by: Guest

Jump to the latest result

decimal.js

big.js

bignumber.js

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):