A portable, header-only C++ library for computing CRCs with high performance and minimal dependencies.
CRC++ is a C++ library for computing Cyclic Redundancy Checks (CRCs), which are used for error detection in data transmission and storage. It provides a fast, portable, and dependency-free solution for calculating CRCs of any width, with support for both bit-by-bit and lookup table methods. The library addresses the need for a lightweight alternative to heavier options like Boost, especially in embedded and performance-sensitive environments.
C++ developers working on embedded systems, networking applications, or any project requiring efficient CRC calculations with minimal dependencies. It's particularly suited for those who need a header-only library that avoids the overhead of larger frameworks.
Developers choose CRC++ for its combination of high performance, simplicity, and portability. Its single-header design eliminates build complexity, while support for arbitrary CRC widths, predefined algorithms, and configurable optimizations (like branchless implementations) make it both flexible and fast compared to alternatives.
Easy to use and fast C++ CRC library.
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Consists of a single header file with no external dependencies, making integration trivial and avoiding build system complexities, as highlighted in the README's emphasis on 'no libraries, no boost, no mess, no fuss.'
Handles any CRC width, including those larger than 64 bits, and supports bit-by-bit or byte-by-byte calculations, with over 40 predefined algorithms like CRC-32 for Ethernet, ensuring versatility for various standards.
Offers configurable branchless implementations and lookup tables for speed, with benchmarks showing competitive performance against alternatives like Boost, as evidenced in the comparison table in the README.
Works with C++03/C++11 compilers and allows custom integer types via #defines, supporting multi-part CRCs and non-standard byte sizes, making it adaptable to embedded and cross-platform projects.
As a header-only library, it can increase compile times in large projects because the entire implementation is included in every translation unit, which might not be ideal for teams prioritizing fast build cycles.
While lookup tables boost performance, they consume additional memory—a potential issue for memory-constrained embedded systems where every byte counts, as noted in the README's caveat about 'expense of extra memory usage.'
Only provides CRC calculations, so projects needing other checksums (e.g., Adler-32) or broader error-correction features must integrate additional libraries, which can add complexity compared to more comprehensive solutions.