Benchmark: number / bignumber.js / big.js / decimal.js

number / bignumber.js / big.js / decimal.js (version: 0)

- https://developer.mozilla.org/ru/docs/Web/JavaScript/Reference/Global_Objects/Number - 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 decimal.js vs big.js vs bignumber.js`

Created: 2 years ago by: Guest

Go to the latest result

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:

native
const a = parseFloat('123.456'); const b = parseFloat('123.456'); //const c = isNan(a) && isNan(b); const d = a > b || a < b; const e = (a + b) * b;
decimal.js
const a = new Decimal('123.456'); const b = new Decimal('123.456'); //const c = a.isNan() && b.isNan(); const d = a.greaterThan(b) || a.lessThan(b); const e = a.plus(b).times(b);
big.js
const a = new Big('123.456'); const b = new Big('123.456'); //const c = a.isNan() && b.isNan(); const d = a.gt(b) || a.lt(b); const e = a.plus(b).mul(b);
bignumber.js
var a = new BigNumber('123.456'); var b = new BigNumber('123.456'); //const c = a.isNan() && b.isNan(); const d = a.gt(b) || a.lt(b); const e = a.plus(b).multipliedBy(b);

Historical Performance Data aggregated from 40 community runs

Desktop Results:

Chrome 27 runs

native

23.1M/s

big.js

2.3M/s

bignumber.js

1.2M/s

decimal.js

1.2M/s

Fastest: native (18.9x faster)

View exact numbers

✓ native: 23,082,614 ops/sec
• big.js: 2,255,826 ops/sec
• bignumber.js: 1,221,351 ops/sec
• decimal.js: 1,218,349 ops/sec

Firefox 13 runs

native

27.9M/s

big.js

1.4M/s

decimal.js

1.4M/s

bignumber.js

1.1M/s

Fastest: native (25.3x faster)

View exact numbers

✓ native: 27,910,470 ops/sec
• big.js: 1,417,774 ops/sec
• decimal.js: 1,375,272 ops/sec
• bignumber.js: 1,101,932 ops/sec

Results show median performance across all community submissions. Run this benchmark yourself to verify on your device.

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

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

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 23 days ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/150.0.0.0 Safari/537.36

Browser/OS: Chrome 150 on Windows

View result in a separate tab

native

16.0M/s

big.js

1.4M/s

decimal.js

860K/s

bignumber.js

765K/s

View exact numbers

Test name	Executions per second
✓ native	16,044,591 Ops/sec
big.js	1,355,502 Ops/sec
decimal.js	860,454 Ops/sec
bignumber.js	765,089 Ops/sec

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

LLMs can make mistakes. Check important info.

Measuring the performance of numerical calculations in JavaScript is an interesting task.

**What's being tested?**

The provided benchmark tests four different approaches to perform numerical calculations:

1. **Native**: The native JavaScript implementation, which uses floating-point numbers (64-bit IEEE 754).
2. **Big.js**: A library that provides support for arbitrary-precision arithmetic, using a custom binary format.
3. **Decimal.js**: Another library that provides support for decimal arithmetic, with a focus on precision and accuracy.
4. **Bignumber.js**: A library that provides support for arbitrary-precision arithmetic, similar to Big.js.

**Options compared**

Each test case compares the performance of different numerical libraries or approaches:

* `decimal.js` vs `big.js`: Both libraries provide support for decimal arithmetic, but with slightly different implementations and optimizations.
* `bignumber.js` vs `big.js`: Both libraries provide support for arbitrary-precision arithmetic, but with different binary formats and optimization strategies.
* Native JavaScript vs other libraries: The native implementation is compared to the performance of three third-party libraries.

**Pros and cons**

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

1. **Native JavaScript**:
	* Pros: Fast and lightweight, as it's implemented in C++ and optimized for performance.
	* Cons: Limited precision (64-bit IEEE 754) and may exhibit numerical instability issues.
2. **Big.js**:
	* Pros: Provides a fast and efficient implementation of arbitrary-precision arithmetic, with good support for decimal arithmetic.
	* Cons: May have some overhead due to its custom binary format and optimization strategy.
3. **Decimal.js**:
	* Pros: Focuses on precision and accuracy, making it suitable for applications where high precision is required.
	* Cons: May be slower than Big.js or native JavaScript due to its additional checks and verification mechanisms.
4. **Bignumber.js**:
	* Pros: Similar to Big.js, providing a fast and efficient implementation of arbitrary-precision arithmetic.
	* Cons: May have some differences in binary format and optimization strategy compared to Big.js.

**Other considerations**

When choosing a numerical library or approach, consider the following factors:

* Precision requirements: If you need high precision, Decimal.js might be a better choice. For general-purpose numerical calculations, native JavaScript or Big.js/Bignumber.js might be sufficient.
* Performance: Native JavaScript is generally the fastest, followed by Bignumber.js and Big.js.
* Developer experience: All three libraries are designed to be easy to use and provide good documentation.

**Alternatives**

If you're looking for alternative libraries or approaches, consider:

1. **Fraction.js**: A library that provides support for rational arithmetic and decimal arithmetic, with a focus on simplicity and performance.
2. **Arbitrary-precision arithmetic in Node.js**: Some Node.js implementations, like `arbitrary-precision`, provide built-in support for arbitrary-precision arithmetic.

Note: The choice of numerical library or approach ultimately depends on your specific use case, performance requirements, and developer preferences.

number / bignumber.js / big.js / decimal.js (version: 0)

- https://developer.mozilla.org/ru/docs/Web/JavaScript/Reference/Global_Objects/Number - 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 decimal.js vs big.js vs bignumber.js

Created: 2 years ago by: Guest

Go to the latest result

native

decimal.js

big.js

bignumber.js

Historical Performance Data aggregated from 40 community runs

Desktop Results:

Chrome 27 runs

Firefox 13 runs

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Related benchmarks

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