Benchmark: bignumber.js vs. big.js vs. decimal.js vs. Fraction.js (without native)

bignumber.js vs. big.js vs. decimal.js vs. Fraction.js (without native) (version: 0)

- https://github.com/iriscouch/bigdecimal.js/tree/v0.6.1 - 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://github.com/infusion/Fraction.js/tree/v4.0.12

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

Created: 3 years ago by: Guest

Jump to the latest result

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/bigdecimal@0.6.1/lib/bigdecimal.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/bignumber.js@9.0.1/bignumber.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/big.js@6.0.3/big.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/decimal.js@10.2.1/decimal.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/fraction.js@4.0.13/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();
bigdecimal.js
var a = new BigDecimal("0.1"); var b = new BigDecimal("0.2"); a.add(b).multiply(b).toString();
Fraction.js
var a = new Fraction("0.1"); var b = new Fraction("0.2"); a.add(b).mul(b).toString();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

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

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks!

**What is being tested?**

MeasureThat.net is testing various libraries that provide support for decimal arithmetic, specifically:

1. `bignumber.js`: A library for high-precision floating-point numbers.
2. `big.js`: A library that provides support for decimal arithmetic with a focus on simplicity and ease of use.
3. `decimal.js`: A widely-used library for working with decimal numbers in JavaScript.
4. `Fraction.js` (without native): A library for working with rational numbers.

**Options compared**

The tests compare the performance of each library when performing basic arithmetic operations, such as addition, multiplication, and concatenation, on two decimal numbers:

* `var a = new Decimal("0.1"); var b = new Decimal("0.2");`
* `var a = new Big("0.1"); var b = new Big("0.2");`
* `var a = new BigNumber("0.1"); var b = new BigNumber("0.2");`
* `var a = new BigDecimal("0.1"); var b = new BigDecimal("0.2");`
* `var a = new Fraction("0.1"); var b = new Fraction("0.2");`

**Pros and cons of each approach**

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

1. **bignumber.js**:
	* Pros: High precision, fast execution.
	* Cons: Steeper learning curve due to advanced features.
2. **big.js**:
	* Pros: Simple and intuitive API, good performance.
	* Cons: May not be suitable for high-precision arithmetic.
3. **decimal.js**:
	* Pros: Wide adoption, stable API, good performance.
	* Cons: May have limitations in precision or speed for very large numbers.
4. **Fraction.js** (without native):
	* Pros: Lightweight, easy to use, suitable for rational numbers.
	* Cons: Limited support for decimal arithmetic.

**Special JS features**

None of the libraries mentioned in the benchmark require any special JavaScript features or syntax beyond standard arithmetic operations.

**Other alternatives**

If you're looking for alternative libraries that provide similar functionality, consider:

1. **big-integer.js**: A library for high-precision integer arithmetic.
2. **js-math**: A comprehensive mathematics library with support for decimal arithmetic.
3. **decimal-arithmetic**: A lightweight library for decimal arithmetic.

Keep in mind that each library has its strengths and weaknesses, and the choice ultimately depends on your specific use case and requirements.

I hope this explanation helps you understand what's being tested in MeasureThat.net!

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