Kits#
This section provides a conceptual overview of DerivKit’s core kits. Each kit groups related functionality around a specific role in derivative evaluation, calculus operations, forecasting, or likelihood-based inference.
The focus here is on what each kit is responsible for and how the kits are intended to be combined, rather than on step-by-step usage examples.
Examples demonstrating how to use each kit can be found in the Examples section, while more detailed and in-depth demos are available in the DerivKit demos repository.
Numerical differentiation engines and derivative evaluation strategies.
Construction of gradients, Jacobians, and Hessians from derivatives.
Fisher matrices, DALI expansions, and Laplace approximations.
Likelihood evaluation and approximate inference utilities.