All software
LOFAR software stack (ESCAPE 2020 edition)
LOFAR software stack for usage in the ESCAPE project. This is a Singularity image of a specific version of the LOFAR software stack.
- projects: LOFAR
- C
- C++
- Java
- + 2
MOC Lib Rust, MOCCLi, MOCWasm and MOCSet
Rust implementation of the IVOA MOC standard (MOC Lib Rust); associated command line tool (MOCCli) and Javascript/WebAssembly wrapper to manipulate MOCs in Web Browsers (MOCWasm).
- astronomy
- HEALPix
- IVOA
- + 1
- HTML
- Rust
- Shell
- + 1
MOCpy
Python library to easily create and manipulate MOCs (Multi-Order Coverage maps)
- astronomy
- MOC
- VirtualObservatory
- + 1
- Python
- Rust
ossr-curation
Open curation for the ESCAPE OSSR using gitlab merge requests.
- ESCAPE
- zenodo
- Python
Pipeline for HCG-16 Project
This repository hosts a pipeline to reproduce the data reduction and analysis of Jones et al. 2019.
- astronomy
- Galaxies
- Galaxy Groups
- + 4
- Jupyter Notebook
- Python
- Roff
- + 1
R3BRoot
Software for simulations and data analysis of Reactions with Relativistic Radioactive Beams (R3B) experiments at GSI/FAIR
- cmake
- c-plus-plus
- Data Analysis
- + 13
- C
- C++
- CMake
- + 5
SKAO Science Data Challenge 1 Solution Workflow
The SKA Science Data Challenge 1 (SDC1, https://astronomers.skatelescope.org/ska-science-data-challenge-1/) tasked participants with identifying and classifying sources in synthetic radio images. Here we present an environment and workflow for producing a solution to this challenge that can easil...
- astronomy
- Data
- Machine learning
- + 2
- Dockerfile
- Jupyter Notebook
- Makefile
- + 2
timewise-sup: The Timewise Subtraction Pipeline v0.5.1
The Timewise Subtraction Pipeline produces mid-infrared difference photometry based on measurements by the WISE satellite
- astronomy
- content: difference photometry
- Projects: WISE
- Python
- Shell
ZenodoCI
The library is intended to be part of a complete CI pipeline. This stage deploys to Zenodo the files found in the ./build directory, configured in the .gitlab-ci.yml file
- ESCAPE
- Dockerfile
- Python
- Shell
Atlas of climate projections
The atlas demonstrates outputs from the probabilistic projection methods developed or assessed in the European Climate Projection system EUCP Horizon2020 project.
- Visualization
- JavaScript
- Jupyter Notebook
- Python
- + 1
Evil-DICOM
Simple-to-use Clibrary for reading and manipulating DICOM files. Dot Net Standard Compliant.
- Software Engineering and Data Infrastructure
- C#
- CSS
- JavaScript
ewatercycle-hype
eWatercycle plugin for HYPE hydrological model
- Python