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209 packages found
A library for arbitrary-precision decimal and non-decimal arithmetic
The jsbn library is a fast, portable implementation of large-number math in pure JavaScript, enabling public-key crypto and other applications on desktop and mobile browsers.
An arbitrary-precision Decimal type for JavaScript.
Parse JSON without risk of losing numeric information
Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with dif
A small, fast, easy-to-use library for arbitrary-precision decimal arithmetic
JSON.parse with bigints support for ESM
High precision trading indicators: RSI, Bollinger Bands, MACD, EMA, MA, many moving averages and oscillators. Trend and reversal detection patterns available.
JSONBigNumber.parse/stringify handling **all** JSON numbers using BigNumber. Based on Douglas Crockford [JSON.js](https://github.com/douglascrockford/JSON-js) package and [bignumber.js](https://github.com/MikeMcl/bignumber.js) library.
Miller Rabin algorithm for primality test
JSON.parse with bigints support
Light, ultra-fast javascript implementation for BigIntegers (base arithmetic operations)
Do math with money! Without risking loss of data to floating point representations!
An arbitrary-precision Decimal type for JavaScript.
Arbitrary-precision decimals. Enables making math calculations with rational numbers, without precision loss.
- exact
- math
- arithmetic
- calculation
- repeating
- decimals
- fixed
- point
- fraction
- fractions
- arbitrary
- precision
- float
- double
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Mongoose type for storing arbitrary-precision decimal numbers (using bignumber.js)
JSON.parse with bigints support
Data Transformation Language - JSON templates and data transformation
- dtl
- json templates
- data templates
- data transformation
- data
- transform
- etl
- csv
- extract
- json
- yaml
- transformation
- translate
- translate data
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Parse JSON without risk of losing numeric information
A set of functions for doing math on numbers without floating point numbers