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Helm Chart for setting up a redis message broker

Chart to deploy a THREDDS Server via Openshift

Helm Chart for setting up a postgres database

Helm Chart for building rhel python containers with latex inside

see https://codebase.helmholtz.cloud/hcdc/container-images/ubi-python-latex

A basic template for generating a helm chart that is customized to the openshift workflows at Hereon.

See also the Kubernetes docs

This repository is used to track the usage of helm charts derived from the helm-chart-template. If you use such a chart, please create an issue or send us a mail and we will keep an eye on it when it comes to new versions of the chart.

Library to ease near online data analysis at XFEL. Mostly a wrapper for extra_data.

Used as back-up registry!

The Linear Meta-Model optimization (LiMMo) is a Python-tool designed for the objective tuning of regional climate models (RCM) and numerical weather prediction models (NWPM) to gridded observational datasets.

In this approach, the surface 2D output of the RCM/NWPM is approximated using regression method (linear, piecewise-linear, quadratic). A user-defined error norm, which quantifies the difference between the regression approximation and the observations, is then minimized using a gradient-based optimization method.

This project is used as an issue tracker for user and community feedback. Please open an issue to suggest changes to UI, flag data inconsistencies or propose new additional features for the Helmholtz KG