Netherlands eScience Center
National platform for the development and application of domain overarching software and methods for the scientific community
Davidson diagonalization in Fortran
This package contains a Modern Fortran implementation of the Davidson diagonalization algorithms to compute several eigenvalue-eigenvector pairs of a symmetric matrix
- High performance computing
- CMake
- Fortran
- Python
frbcatdb
A database to store a catalog of Fast Radio Bursts and expose them as Virtual Observation Events.
- Optimized data handling
- Python
- Shell
frbcat-web
Provides an easy to-use web frontend to browse and filter the Fast Radio Burst Catalogue.
- Optimized data handling
- Visualization
- CSS
- HTML
- JavaScript
GameBus FHIR Layer
Enable FHIR service for GameBus and beyond
- Data Harmonization
- FHIR
- healthcare
- + 1
- Dockerfile
- Java
- Shell
gemdat
a Generalized Molecular Dynamics Analysis Tool
- analysis
- molecular dynamics
- python
- + 1
- Python
Geoflow visualizer
Visualizes any type of flow between countries. Takes a CSV as input, applies filtering and aggregation (danfojs) to show relations and data in a number of visualizations (d3.js)
- Visualization
- web-based
- CSS
- HTML
- JavaScript
Introduction to Geospatial Raster and Vector Data with Python
This lesson material shows how practical geospatial data analysis tasks can be carried out using Python
- Data Analysis
- geospatial
- Image processing
- + 4
GGIR
Converts raw data from wearables into insightful reports for researchers investigating human daily physical activity and sleep.
- Big data
- R
GitHub action to set up gRPC
To compile C Plus code against gRPC in a GitHub action workflow you need to install it first. This GitHub action compiles or downloads it for you.
- TypeScript
GitHub action to set up singularity
To use Singularity containers in a GitHub action workflow you need to install it first. This GitHub Action downloads, compiles and installs it for you.
- Shell
- TypeScript
GrainLearning
Unsure about the parameters of your grains in a computer simulation? Use Iterative Bayesian Filtering to learn parameter distributions from limited data. Is your model running slowly? Speed up your simulations with machine-learning surrogates. All these features are integrated within GrainLearning.
- Bayesian Inference
- Data assimilation
- Machine learning
- + 2
- Jupyter Notebook
- PureBasic
- Python
- + 1
GraphvizDotLang.jl
Interface for Graphviz in Julia. This module helps to create graph visualizations programatically in Julia, with Graphviz as a back-end.
- Graphs
- Julia Package
- Visualization
- Julia
- Makefile