Benchmark: bignumber.js vs. big.js vs. decimal.js vs. math.min.js

bignumber.js vs. big.js vs. decimal.js vs. math.min.js (version: 1)

- 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 -https://pagecdn.io/lib/mathjs/9.4.4/math.min.js

Comparing performance of: Native vs Native + toFixed vs decimal.js vs big.js vs bignumber.js vs math.min.js

Created: 3 years ago by: Registered User

Jump to the latest result

HTML Preparation code:

<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://pagecdn.io/lib/mathjs/9.4.4/math.min.js"></script>

Tests:

Native
var a = 0.1; var b = 0.2; ((a + b) * b).toString();
Native + toFixed
var a = 0.1; var b = 0.2; ((a + b) * b).toFixed(9);
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();
math.min.js
var a = 0.1; var b = 0.2; math.chain(a) .add(b) .multiply(b) .done()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native
Native + toFixed
decimal.js
big.js
bignumber.js
math.min.js

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36 Edg/95.0.1020.44

Browser/OS: Chrome 95 on Windows

View result in a separate tab

Test name	Executions per second
Native	21667928.0 Ops/sec
Native + toFixed	2961751.2 Ops/sec
decimal.js	261609.3 Ops/sec
big.js	429340.2 Ops/sec
bignumber.js	257557.4 Ops/sec
math.min.js	1324647.4 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the world of big number arithmetic in JavaScript.

**What is tested?**

The benchmark compares the performance of four libraries:

1. `big.js`: A library for working with large integers and decimals.
2. `decimal.js`: A library specifically designed for decimal arithmetic.
3. `bignumber.js`: A library for working with large numbers, similar to `big.js`, but with some additional features.
4. `math.min.js`: A lightweight library from the MathJS project that provides a way to perform arbitrary-precision arithmetic.

The benchmark tests various approaches to performing big number arithmetic operations, including addition, multiplication, and concatenation.

**Options compared**

Here are the different options being compared:

1. **Native**: Using built-in JavaScript methods for floating-point numbers (e.g., `toString()`, `toFixed(9)`).
2. **Big.js + decimal.js**: Using the `big.js` library with decimal arithmetic.
3. **Bignumber.js**: Using the `bignumber.js` library for big number arithmetic.
4. **Math.min.js**: Using the `math.min.js` library from MathJS for arbitrary-precision arithmetic.

**Pros and cons of each approach**

1. **Native**: Fast, but may lose precision due to floating-point limitations.
	* Pros: Easy to implement, fast execution.
	* Cons: May not provide accurate results due to floating-point issues.
2. **Big.js + decimal.js**: Provides a balance between performance and accuracy.
	* Pros: Accurate results, easy to use.
	* Cons: May be slower than native methods or `bignumber.js`.
3. **Bignumber.js**: Offers advanced features like rounding and scaling.
	* Pros: Flexible, accurate results.
	* Cons: May be slower than native methods or `big.js + decimal.js`.
4. **Math.min.js**: Provides a lightweight solution for arbitrary-precision arithmetic.
	* Pros: Extremely lightweight, fast execution.
	* Cons: May require additional setup and may not provide all the features of other libraries.

**Library explanations**

1. **Big.js**: A library that provides support for large integers and decimals. It's designed to be highly performant and accurate.
2. **Decimal.js**: A library specifically designed for decimal arithmetic. It provides a range of methods for performing decimal operations, including rounding and scaling.
3. **Bignumber.js**: A library that extends `big.js` with additional features like rounding and scaling. It's designed to provide a balance between performance and accuracy.

**Other alternatives**

1. **MathJS**: The MathJS project offers a range of libraries for mathematical computations, including arbitrary-precision arithmetic.
2. **IEEE 754**: The IEEE 754 standard provides a way to represent floating-point numbers in a more precise manner, which can be used to improve the accuracy of native methods.

In summary, the benchmark compares four different approaches to big number arithmetic in JavaScript: using built-in methods (native), using libraries like `big.js` and `decimal.js`, or using `bignumber.js`. The choice of library depends on the trade-off between performance, accuracy, and feature set.

Related benchmarks:

bignumber.js vs. big.js vs. decimal.js vs. math.min.js (version: 1)

- 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 -https://pagecdn.io/lib/mathjs/9.4.4/math.min.js

Comparing performance of: Native vs Native + toFixed vs decimal.js vs big.js vs bignumber.js vs math.min.js

Created: 3 years ago by: Registered User

Jump to the latest result

Native

Native + toFixed

decimal.js

big.js

bignumber.js

math.min.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):