MuellerSeb - Overview

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1. GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

   Python 642 81

2. Kriging Toolkit for Python

   Python 857 204

3. A python-package for handling well based field campaigns.

   Python 37 7

4. FINAM - Python model coupling framework (mirrors https://git.ufz.de/FINAM/finam)

   Python 6 1

5. https://git.ufz.de/mhm/mhm mirror: The mesoscale Hydrological Model - mHM

   Fortran 37 17

6. https://git.ufz.de/chs/forces mirror: FORtran library for Computational Environmental Systems - FORCES

   Fortran 7