All software
EL-PASO
EL-PASO is a Python framework designed to streamline the download, processing, and saving of satellite particle observation data.
- Data analysis
- FAIR Data
- metadata
- + 1
- Python
- Jupyter Notebook
- Shell
Enriching Digital Heritage (pre-workshop)
Software related to the startup phase of the project Enriching Digital Heritage
- cultural heritage
- large language models
- named entity linking
- + 1
- Python
Epistemic Pipeline
Evidence-aware state-machine framework for research workflows with explicit claims, evidence, conflicts, runtime policy, checkpoints, provenance, claim verification, bounded transfer, and portable evidence handoff
- agentic systems
- evidence lineage
- Provenance
- + 3
- Makefile
- Python
EpsteinLib
High-performance computation of the Epstein zeta function, including a Python, Julia and Mathematica wrapper.
- Condensed Matter Physics
- Epstein zeta function
- Lattice Sums
- + 2
- C
- Wolfram Language
- Python
- + 5
era5cli
A command line interface to download ERA5 data from the Copernicus Climate Data Store
- Python
agataselector
This selector is meant to analyze the data of AGATA+$Ancillary, producing various histograms and performing kinematic calculations and other operations useful for Doppler correction and other analysis tasks. The starting point of the selector are the ROOT files produced by femul. The code is a wo...
- Agata
- gamma-ray spectroscopy
- Nuclear Physics
- + 1
- C
- C++
- CMake
- + 2
agnpy
agnpy is a python package focusing on the computation of the radiative processes of relativistic particles accelerated in the jets of Active Galactic Nuclei (AGN). It includes classes describing the galaxy components responsible for line and thermal emission and calculates the absorption due to g...
- active galactic nuclei
- Astroparticle physics
- blazars
- + 5
- C
- Jupyter Notebook
- Python
CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction
CTLearn is a high-level Python package providing a backend for training deep learning models for the reconstruction of imaging atmospheric Cherenkov telescope events using TensorFlow.
- deep learning
- Event reconstruction
- High energy physics
- + 1
- Dockerfile
- Jupyter Notebook
- Python
Dark matter constraints from dwarf galaxies: a data-driven LAT analysis
Python code to derive data-driven upper limits on the thermally averaged, velocity-weighted pair-annihilation cross-section (velocity-independent) of a user-defined particle dark matter model using the expected differential gamma-ray spectrum of pair-annihilation events (provided by the user) as ...
- ESCAPE
- jupyter-notebook
- Jupyter Notebook
- Python
Dockerfile to extract Gravitational Wave data from the ESCAPE datalake
This is a container to extract Gravitational Wave (GW) data from the datalake using Rucio and feed 1 second GW frames to the GW pipelines.
- EGO-Virgo
- Dockerfile
- Python
- Shell
eossr
The ESCAPE OSSR library The eOSSR is the Python library to programmatically manage the ESCAPE OSSR.In particular, it includes: - an API to access the Zenodo and the OSSR, retrieve records and publish content - functions to map and convert metadata from CodeMeta to Zenodo metadata shema - functi...
- jupyter-notebook
- zenodo
- Dockerfile
- Python
ESCAPE template project
An example of software project template for the ESCAPE 2020 European project
- ESCAPE
- jupyter-notebook
- Dockerfile
- Jupyter Notebook
- Python
- + 1