A portable C library for multiple-precision integer arithmetic used in cryptographic and number theoretic applications.
LibTomMath is a free, open-source multiple-precision integer (MPI) library written entirely in C. It provides efficient implementations of large integer arithmetic operations, such as addition, multiplication, and modular exponentiation, which are fundamental to cryptography, number theory, and mathematical computing. The library solves the problem of handling integers larger than native machine word sizes with portable and optimized algorithms.
Developers and researchers working on cryptographic protocols, number theory applications, embedded systems, or any project requiring arbitrary-precision integer arithmetic in C.
Developers choose LibTomMath for its portability, correctness, and efficiency in C, along with comprehensive testing and flexible build systems (Make and CMake), making it a reliable alternative to proprietary or less portable MPI libraries.
LibTomMath is a free open source portable number theoretic multiple-precision integer library written entirely in C.
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Written entirely in C with a focus on broad compatibility, making it suitable for embedded systems and cross-platform projects, as emphasized in the README's philosophy.
Includes stand-alone tests via `make test` and comparative testing with `mtest` against other MPI libraries, ensuring correctness and reliability for cryptographic use.
Supports both traditional Make and modern CMake, with options for static or shared libraries, facilitating easy integration into various development workflows.
Provides efficient implementations of large integer arithmetic operations, essential for cryptography and number theory, as stated in the project's goals.
The original comprehensive PDF (`tommath.pdf`) was removed and last updated in version 0.39, leaving limited documentation in `tommath.h` and LaTeX files, which may hinder onboarding.
The README states 'Building is straightforward for GNU Linux only,' implying potential challenges on other platforms like Windows or macOS, despite CMake support.
As a pure C library, it requires manual memory management and low-level integration, making it cumbersome for projects in higher-level languages without additional wrappers.