A lightweight, cross-platform C++11 base library providing high-performance utilities like logging, coroutines, JSON, and networking.
Coost is a tiny, cross-platform C++11 base library that provides a comprehensive set of high-performance utilities for systems programming. It solves the problem of heavyweight dependencies by offering a minimalistic yet powerful alternative to libraries like Boost, with features including logging, coroutines, JSON handling, and network programming.
C++ developers building cross-platform applications, network services, or performance-critical systems who need a lightweight, all-in-one utility library.
Developers choose Coost for its exceptional performance, small footprint, and modern C++11 design. It combines the breadth of Boost with the speed and minimalism of specialized libraries, making it ideal for projects where efficiency and simplicity are paramount.
A tiny boost library in C++11.
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The log library significantly outperforms glog and spdlog, with benchmarks showing up to 151x speedup on Windows and 23.8x on Linux for multi-threaded scenarios.
Static library size is only about 1MB on Linux or Mac, making it ideal for resource-constrained environments compared to bulkier alternatives like Boost.
JSON parsing and stringifying performance rivals RapidJSON, with speedups of up to 3.6x on Windows, as shown in benchmark tests using twitter.json.
Provides Go-style coroutines with multi-threaded scheduling and shared stacks, enabling high-performance network programming with synchronous-like APIs.
Includes command-line parsing, unit testing, memory allocation, and file system operations, reducing the need for multiple external libraries.
Built solely on C++11, missing out on modern C++ features and optimizations available in later standards, which may deter teams using newer compilers.
Advanced features like HTTP/SSL support require enabling external dependencies (libcurl, openssl), adding complexity to setup compared to all-in-one libraries.
As a niche library, it has fewer third-party integrations, tutorials, and community support compared to established options like Boost, potentially increasing debugging time.
While documentation exists in English and Chinese, it may lack the exhaustive examples and guides found in more mature projects, as admitted by reliance on contributor translations.