Pybind11

pybind11 is a header-only C++ binding library that exposes C++ functions and classes as Python modules. It serves as a language bridge, mapping native types, inheritance hierarchies, and lambda functions into compatible Python objects to enable high-performance native code execution.

The library includes specialized integration for NumPy arrays, utilizing buffer protocols to bind native C++ data without copying memory. It provides a toolkit for mapping C++ standard library data structures and smart pointers into the Python environment while maintaining cross-language memory management.

The project also covers native library integration, object serialization, and support for various Python runtime implementations. It utilizes build preset configurations to ensure consistent compilation across different environments.

Features

C++ Extension Development - Enables the development of high-performance Python modules written in C++.

Script-to-Native Type Mappings - Uses C++ templates to automatically map native type signatures to corresponding Python object wrappers.

C-Bindings - Provides the binding layer that connects C++ types and functions to the Python environment.

Cross-Language Memory Managers - Manages memory across the C++/Python boundary to prevent leaks and ensure type safety.

Python-C Interfaces - Provides the low-level interface layer that maps Python calls to C++ native routines.

C++ Language Bridges - Acts as a comprehensive bridge for mapping C++ types, inheritance, and lambdas into Python.

Standard Library Mappings - Translates C++ standard library data structures and smart pointers into compatible Python types.

Reference Counting - Synchronizes C++ smart pointers with Python's reference counting to manage cross-language object lifetimes.

C++ Bindings - Provides robust bindings for interoperability between C++ types and the Python runtime.

Native Library Integrations - Wraps existing C++ libraries to make their functionality available as callable Python objects.

Buffer-Protocol Array Integration - Implements the Python buffer protocol to share memory between C++ and NumPy arrays without copying.

NumPy Array Integration - Binds native C++ data to NumPy arrays using buffer protocols to avoid memory copying.

Header-Only Libraries - Implemented as a header-only library to simplify integration without requiring pre-compiled binaries.

Lambda Bindings - Allows C++ lambda functions with captured variables to be called from Python.

High-Performance Scientific Computing - Facilitates high-performance numerical computing by integrating native C++ data with NumPy arrays.

NumPy-Compatible Frameworks - Provides a bridge that makes native C++ data fully compatible with NumPy frameworks.

Compile-Time Metaprogramming - Utilizes compile-time metaprogramming to automatically register C++ functions and classes into the Python runtime.

Developer Tools - Operability between C++ and Python

Development Environment - Seamless interoperability between C++ and Python.

Language Bindings - Seamless interoperability between C++ and Python.

Language Interop - Seamless interoperability between C++ and Python.

Scripting and Bindings - Seamless interoperability between C++11 and Python.

Scripting and Interop - Seamless interoperability between C++ and Python.

pybindpybind11

Features

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