[](https://badge.fury.io/py/hydro-smash) **smash** is a Python library, that provides a variety of user-friendly routines for hydrological modeling, including data preprocessing, high-dimensional optimization tools, sensitivity and signatures analysis, all interfaced with an efficient Fortran computational engine. - **Documentation:** https://smash.recover.inrae.fr - **Source code:** https://github.com/DassHydro/smash - **Contributing:** https://smash.recover.inrae.fr/contributor_guide/index.html - **Scientific references from latest version:** https://smash.recover.inrae.fr/bibliography/index.html - **Bug reports:** https://github.com/DassHydro/smash/issues It offers a range of advanced optimization techniques, including Variational Data Assimilation (VDA), Bayesian estimation, and Artificial Neural Network (ANN) approaches, using an adjoint model generated with the **Tapenade** automatic differentiation tool. - **Tapenade** website: https://team.inria.fr/ecuador/en/tapenade/ - **Tapenade** article: https://doi.org/10.1145/2450153.2450158 - **Tapenade** source code: https://gitlab.inria.fr/tapenade/tapenade.git Whether you are managing water resources or conducting research on hydrological models, **smash** can provide an easy-to-use yet powerful solution for your work. See [this documentation](https://smash.recover.inrae.fr/getting_started/index.html) for the installation instructions.