STL-compatible C++ memory allocator library with a simpler RawAllocator concept and various allocator implementations.
memory is a C++ library that provides a modern, STL-compatible memory allocator framework. It addresses flaws in the standard STL allocator model by introducing a simpler RawAllocator concept and offering a variety of allocator implementations like memory pools, stack-based allocators, and temporary allocators.
C++ developers working on performance-sensitive applications, embedded systems, or projects requiring custom memory management strategies beyond the standard STL allocators.
Developers choose memory for its ease of use, flexibility in allocator design, and seamless integration with existing STL containers, all while providing advanced features like debugging support and freestanding environment compatibility.
STL compatible C++ memory allocator library using a new RawAllocator concept that is similar to an Allocator but easier to use and write.
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The RawAllocator model simplifies implementation by requiring only basic allocation functions, making custom allocators easier to write than verbose STL Allocators, as shown in the interface example.
Includes heap, virtual, stack-based, and pool allocators like memory_pool and temporary_allocator, providing tools for diverse memory management scenarios out of the box.
Offers aliases like memory::vector and adapters like std_allocator that allow direct use with existing STL containers without modifying container code, demonstrated in the basic example.
Core components work without an OS, enabling use in embedded systems, as stated in the features except for STL-specific adapters.
Requires CMake subdirectory setup or vcpkg installation, which can be cumbersome for projects not already using these tools, as detailed in the non-trivial installation steps.
Introduces new abstractions like RawAllocator and BlockAllocator, necessitating a deep understanding of memory management that may overwhelm developers used to standard allocators.
The extensive use of templates for allocator types and container aliases can increase compilation times and binary size, a trade-off for flexibility noted in the code examples.
As a specialized library, it has a smaller community and fewer third-party resources compared to mainstream STL alternatives, potentially limiting support and adoption.