Jacobi: Numerical Derivatives

Jacobi is a lightweight Python library designed for fast and robust computation of generalized Jacobi matrices (numerical derivatives) for arbitrary real analytic mappings. It supports functions with large round-off errors and offers significant speed improvements over other numerical differentiation tools. The current version is 0.9.2, and it typically releases updates as needed.