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C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
C++ Matrix -- High performance and accurate (e.g. edge cases) matrix math library with expression template arithmetic operators
C++ light-weight Thread Pool library
Modern C++ Stack and Static based allocators + a Custom Aligned allocator
A very light weight dependency graph for systems with massive calculation complexities or scheduling systems
3 different C++, multi-threaded queues including a lock-free one
Header-only C++ Timers and Alarms based on threads.
Some examples for the use of boost::python
This is an interpretation and implementation of dependency graph by which you can implement many analytical models, such as alpha and risk models.
This is a straightforward to use and all-inclusive socket library
This is a fast, efficient, and highly structured XML Parser. It requires the Xerces library
