Here are some popular C++ libraries and frameworks:
Standard Template Library (STL): The STL is a fundamental library that provides a wide range of generic containers (vector, list, map, etc.), algorithms (sort, search, find, etc.), and iterators. It is an essential part of the C++ standard and widely used for basic data structures and operations.
Boost: Boost is a collection of open-source libraries that extend the C++ standard library. It provides a rich set of functionalities like threading, regular expressions, networking, metaprogramming techniques, and more. Boost libraries are not part of the official C++ standard but are widely used in professional C++ development.
Qt: Qt is a cross-platform application framework that provides a comprehensive set of tools for building graphical user interfaces (GUIs) and applications. It includes classes for widgets, layouts, signals and slots (a mechanism for communication between objects), and more. Qt is a commercial library with a free open-source version (Qt LGPL) available for non-commercial use.
wxWidgets: wxWidgets is another cross-platform GUI toolkit for C++ that offers a native look and feel for different platforms (Windows, macOS, Linux). It provides a wide range of widgets and functionalities for building desktop applications. wxWidgets is an open-source library.
OpenGL: OpenGL (Open Graphics Library) is a cross-language API for rendering 2D and 3D graphics. It is widely used for creating high-performance graphics applications, games, simulations, and visualization software. While not strictly a C++ library, OpenGL can be effectively used with C++ for graphics programming.
Eigen: Eigen is a C++ template library for linear algebra operations like matrix and vector manipulation. It provides a high-performance and efficient way to work with numerical data and linear algebra problems. Eigen is an open-source library.
OpenCV: OpenCV (Open Source Computer Vision Library) is a library originally developed by Intel for real-time computer vision applications. It provides a rich set of functions for image and video processing, object detection, feature extraction, and machine learning algorithms related to computer vision. OpenCV is an open-source library.
TensorFlow: TensorFlow is a popular open-source machine learning framework from Google. While TensorFlow can be used with various programming languages, it has a well-established C++ API for developing and deploying machine learning models. C++ can be used for performance-critical parts of machine learning pipelines when using TensorFlow.
The choice of libraries and frameworks depends on the specific needs of your C++ project. Consider factors like the type of application you are building, the functionalities required, performance requirements, and your familiarity with different libraries.