An extensive JavaScript and Node.js math library with expression parsing, symbolic computation, and support for multiple data types.
Math.js is an extensive open-source mathematics library for JavaScript and Node.js that provides advanced computational capabilities beyond basic arithmetic. It solves the problem of performing complex mathematical operations in JavaScript by offering features like symbolic computation, unit conversion, and support for diverse data types such as matrices, complex numbers, and big numbers. The library includes a flexible expression parser that allows evaluation of mathematical expressions from strings.
JavaScript and Node.js developers working on scientific computing, engineering simulations, data analysis, educational tools, or any application requiring advanced mathematical operations. It is also suitable for developers needing to evaluate mathematical expressions dynamically from user input.
Developers choose Math.js for its comprehensive feature set, ease of use, and flexibility in handling mixed data types within a single library. Its unique selling point is the combination of symbolic computation, a powerful expression parser, and extensibility through a modular architecture, making it a versatile alternative to building custom math solutions.
An extensive math library for JavaScript and Node.js
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Evaluates mathematical expressions from strings with support for variables and functions, enabling dynamic input handling as shown in the README examples like evaluate('12 / (2.3 + 0.7)').
Performs algebraic manipulations and symbolic differentiation, useful for educational tools, with examples like derivative('x^2 + x', 'x') returning 2 * x + 1.
Seamlessly works with numbers, big numbers, complex numbers, fractions, units, and matrices, reducing the need for multiple libraries, as highlighted in the features list.
Allows easy addition of custom functions and data types through a modular architecture, detailed in the 'Implementing a new function' section with steps for integration.
The comprehensive feature set results in a bulky library, which can impact load times in browser environments, especially when only a subset of functions is needed.
Adding custom functions requires understanding typed functions and dependency injection, as described in the Architecture section, which can be daunting for developers unfamiliar with these concepts.
Due to support for multiple data types and expression parsing, operations may be slower compared to optimized, single-purpose libraries for specific tasks like matrix computations.