Niels Drost
ESMValTool
The Earth System Model eValuation Tool is a community diagnostics and performance metrics tool for the evaluation of Earth System Models that allows for routine comparison of models and observations.
- Big data
- Optimized data handling
- Visualization
- + 1
- (Dockerfile)
- ("Emacs Lisp")
- (Jinja)
- + 7
AMUSE
Combine existing numerical codes in an easy to use Python framework. With AMUSE you can simulate objects such as star clusters, proto-planetary disks and galaxies.
- High performance computing
- Multi-scale & multi model simulations
- Workflow technologies
- (Assembly)
- (C)
- (C++)
- + 23
ESMValCore
ESMValTool Core: core functionalities and driver for ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP.
- Big data
- Optimized data handling
- Visualization
- + 1
- (Dockerfile)
- (HTML)
- (JavaScript)
- + 4
Xenon
If you are using remote machines to do your computations, and don’t feel like learning and implementing many different APIs, Xenon is the tool for you.
- batch-job
- distributed computing
- FTP
- + 11
- (Batchfile)
- (Java)
- (Shell)
WRFpy
WRFpy is a python application that provides an easy way to set up, run, and monitor Weather Research and Forecasting simulations
- Data Simulation
- python
- (Python)
Emma
Emma is a project to create a platform for development of application for Spark and DockerSwarm clusters.
- Big data
- (Python)
- (R)
- (Scala)
- + 1
ewatercycle
The eWaterCycle package makes it easier to use hydrological models without having intimate knowledge about how to install and run the models.
- Inter-operability & linked data
- Multi-scale & multi model simulations
- Optimized data handling
- + 1
- (Dockerfile)
- (Python)
era5cli
A command line interface to download ERA5 data from the Copernicus Climate Data Store
- (Python)
PattyAnalytics
Library for aligning and scaling one point cloud to an other.
- Big data
- Point Cloud
- (Python)
Satsense
A Python library for land use classification based in satellite images.
- Image processing
- Machine learning
- ("Jupyter Notebook")
- (Python)
eWatercycle SURF Research Cloud
Codified instructions for deploying the eWaterCycle platform on the SURF Research Cloud.
- (Jinja)
- (Python)
- (Shell)
Xenon Docker images
For your testing needs a collection of Docker images with different file systems and batch schedulers.
- High performance computing
- Workflow technologies
- (Clojure)
- (Dockerfile)
- (Python)
- + 4