Benchmark: validate bignumber.js big.js shiftedBy

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://raw.githubusercontent.com/infusion/Fraction.js/v4.0.12/fraction.min.js"></script-->

Tests:

bignumber 1
var a = new BigNumber("2.789654"); var b = a.times(new BigNumber(10).pow(18)).toFixed();
bignumber 2
var a = new BigNumber("2.789654"); var b = a.shiftedBy(18).toString();
big 1
const a = new Big("2.789654"); a.e = 18; a.toString();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
bignumber 1
bignumber 2
big 1

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 24 days ago):

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark and its options, explaining what's being tested, compared, and their pros/cons.

**Benchmark Overview**

The MeasureThat.net benchmark compares the performance of three JavaScript libraries:

1. `bignumber.js`
2. `big.js`
3. `Big`

All three libraries aim to provide decimal arithmetic with arbitrary-precision calculations. They are used for financial and scientific applications, among others.

**Library Descriptions:**

1.  **`bignumber.js`**: Created by Mike McLean, it's a widely-used JavaScript library for precise decimal arithmetic. It provides an implementation of the GNU Multiple Precision Arithmetic Library (GMP) in JavaScript.
2.  **`big.js`**: Also known as "BigDecimal.js", it's another popular JavaScript library for decimal arithmetic. It implements the IEEE 754 floating-point standard, which is used by most programming languages.
3.  **`Big`**: This library uses the `decimal.js` package and provides decimal arithmetic with a focus on precision and control.

**Test Cases:**

The benchmark consists of three test cases:

1.  **`bignumber 1`**: Tests the performance of multiplying a number by 10 to the power of 18 using `bignumber.js`.
2.  **`bignumber 2`**: Tests the performance of shifting a number by 18 positions using `bignumber.js`.
3.  **`big 1`**: Tests the performance of incrementing and converting a decimal value in `Big`.

**Comparison Options:**

The test cases compare the performance of each library for the specific operations mentioned above.

**Pros/Cons:**

*   **`bignumber.js`**
    *   Pros:
        *   Fastest execution time among all three libraries
        *   Optimized for performance and scalability
    *   Cons:
        *   May lack some advanced features compared to other libraries
*   **`big.js`**
    *   Pros:
        *   More feature-rich than `bignumber.js`
        *   Supports more operations and functions
    *   Cons:
        *   Slower execution time than `bignumber.js`
*   **`Big`**
    *   Pros:
        *   Provides more control over decimal arithmetic, especially for financial and scientific applications
        *   Fast execution times are comparable to `big.js`

**Special JS Features/Syntax:**

None mentioned explicitly in the provided benchmark information.

Latest run results:

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

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/106.0.0.0 Safari/537.36

Browser/OS: Chrome 106 on Linux

View result in a separate tab

Test name	Executions per second
bignumber 1	387146.6 Ops/sec
bignumber 2	747166.4 Ops/sec
big 1	1387037.4 Ops/sec

Related benchmarks:

validate bignumber.js big.js shiftedBy (version: 0)

- https://github.com/MikeMcl/bignumber.js/tree/v9.0.1 - https://github.com/MikeMcl/big.js/tree/v6.0.3

Comparing performance of: bignumber 1 vs bignumber 2 vs big 1

Created: 2 years ago by: Guest

Jump to the latest result

bignumber 1

bignumber 2

big 1

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 24 days ago):