Celerite

Celerite is designed for fast and scalable Gaussian Process (GP) regression, with implementations available in C++, Python, and Julia. The library is particularly focused on one-dimensional data and is optimized for computational efficiency, relying on its C++ backend for performance. It is suitable for users familiar with GP modeling and can be integrated with various optimization and inference libraries. The documentation provides guidance on installation and usage across different programming languages.