Benchmark: bignumber.js vs. big.js vs. decimal.js (II)

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/9.0.2/bignumber.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/big.js/6.2.1/big.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/decimal.js/10.3.1/decimal.min.js"></script>
<!--script src="https://raw.githubusercontent.com/infusion/Fraction.js/v4.0.12/fraction.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();

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

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Measuring JavaScript performance is a fascinating topic, and BenchmarkThat.net provides an excellent platform for comparing the performance of different libraries.

The provided benchmark measures the performance of three decimal arithmetic libraries: Big.js, Decimal.js, and bignumber.js. The test cases aim to simulate real-world scenarios where decimal numbers are used extensively.

**Options Compared:**

1. **Native JavaScript**: This option uses the built-in JavaScript arithmetic operations for decimal calculations.
2. **Big.js**: A library specifically designed for high-performance decimal arithmetic.
3. **Decimal.js**: Another popular library for decimal arithmetic, known for its accuracy and flexibility.
4. **bignumber.js**: A library that provides a simple and intuitive way to work with large numbers, including decimal arithmetic.

**Pros and Cons:**

1. **Native JavaScript**:
	* Pros: Built-in support, low overhead, easy to use.
	* Cons: May not provide the desired level of precision or performance for certain calculations.
2. **Big.js**:
	* Pros: High-performance, optimized for decimal arithmetic, accurate results.
	* Cons: Steeper learning curve due to its custom API and internal workings.
3. **Decimal.js**:
	* Pros: Flexible, accurate, and easy to use, with a wide range of customization options.
	* Cons: May have slightly higher overhead compared to Big.js.
4. **bignumber.js**:
	* Pros: Simple and intuitive API, optimized for large numbers and decimal arithmetic.
	* Cons: Not specifically designed for high-performance or precise decimal calculations.

**Library Considerations:**

1. **Big.js**: This library is well-suited for applications requiring high-performance decimal arithmetic, such as financial modeling or scientific computing.
2. **Decimal.js**: A versatile option that provides a good balance between performance and flexibility, making it suitable for a wide range of use cases, including education and development environments.
3. **bignumber.js**: Ideal for projects that require simple, intuitive decimal arithmetic, with an emphasis on ease of use and large number handling.

**Special JS Features or Syntax:**

There are no special JavaScript features or syntax used in these benchmark tests. The focus is solely on comparing the performance of different decimal arithmetic libraries.

**Other Alternatives:**

1. **Fraction.js**: A library for rational numbers, which could be an alternative to Decimal.js for specific use cases.
2. **High.js**: Another high-performance decimal arithmetic library that might be worth exploring in the future.

In conclusion, this benchmark provides a comprehensive comparison of four popular decimal arithmetic libraries, helping developers choose the best option for their specific use case, considering factors such as performance, accuracy, and ease of use.

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36

Browser/OS: Chrome 103 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Native	191203744.0 Ops/sec
Native + toFixed	13993433.0 Ops/sec
decimal.js	1025043.0 Ops/sec
big.js	1571513.1 Ops/sec
bignumber.js	957755.2 Ops/sec

Related benchmarks:

bignumber.js vs. big.js vs. decimal.js (II) (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: Native vs Native + toFixed vs decimal.js vs big.js vs bignumber.js

Created: 2 years ago by: Registered User

Jump to the latest result

Native

Native + toFixed

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 one month ago):