<!--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-->
(211555240.22).toFixed(9);
var a = new Decimal("211555240.22");
a.toFixed(9);
var a = new Big("211555240.22");
a.toFixed(9);
var a = new BigNumber("211555240.22");
a.toFixed(9);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Native | |
decimal.js | |
big.js | |
bignumber.js |
Test name | Executions per second |
---|---|
Native | 15539596.0 Ops/sec |
decimal.js | 2909908.2 Ops/sec |
big.js | 3103875.2 Ops/sec |
bignumber.js | 2400345.0 Ops/sec |
Overview
MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided JSON represents a benchmark that compares the performance of three libraries: bignumber.js, big.js, and decimal.js, when rounding a large number to nine decimal places.
What is being tested?
The test case uses a simple mathematical operation: toFixed(9)
. This method rounds a number to the specified number of decimal places. The test compares the performance of three libraries:
toFixed
method.Options compared
The test compares the following options:
toFixed
method)Each option is tested with a different input: a large number rounded to nine decimal places (211555240.22
).
Pros and Cons of each approach
toFixed
method is a good choice when performance is critical, but it may not provide the desired level of precision for large numbers.Library descriptions
Special JavaScript features
This benchmark does not explicitly use any special JavaScript features or syntax. However, the use of libraries like decimal.js, big.js, and bignumber.js demonstrates the importance of choosing the right tools for the job, especially when dealing with large numbers or precise calculations.
Alternatives
If you need to perform large-scale numerical computations, other alternatives to these libraries include:
However, keep in mind that the performance and accuracy of these alternatives may vary depending on your specific use case and requirements.