Xeus-cling is a Jupyter kernel for the C++ programming language.
The kernel enables interactive C++ development within Jupyter notebooks by leveraging the Cling C++ interpreter. It allows developers to write, execute, and iterate on C++ code in a notebook environment with immediate feedback, similar to how Python notebooks work. The approach integrates Cling's just-in-time compilation capabilities with Jupyter's kernel protocol, making C++ accessible for exploratory programming, education, and rapid prototyping workflows that traditionally required compiled binaries or separate build steps.
Developers should consider this kernel when working on C++ projects that benefit from interactive exploration, teaching C++ concepts, or prototyping algorithms before integrating them into larger systems. It suits educational settings, data science workflows where C++ performance is needed alongside interactive development, and scenarios where developers want to test C++ code snippets without managing a full compilation pipeline. The tool is particularly valuable for those already familiar with Jupyter who want to apply that workflow to C++ rather than switching between languages or development environments.
The project shows active maintenance with regular updates addressing compatibility and functionality improvements. Development demonstrates responsiveness to user issues and pull requests, indicating ongoing engagement with the community. The codebase receives consistent refinement to ensure the kernel remains compatible with evolving versions of Jupyter and the Cling interpreter.
