All software
Prospective Monitoring and Management - App (PIA)
PIA is a free open-source eResearch System for monitoring of incident events and provides a digital infrastructure for conducting population-based studies in any research field - at a study centre or at home. PIA focuses on repeated surveys. #DigitalEpidemiology #LongitudinalDataCollection #FOSS
- Data Collection
- Digital Infrastructure
- epidemiology
- + 5
- TypeScript
- HTML
- JavaScript
- + 11
pkgndep
A new metric named 'dependency heaviness' is proposed that measures the number of additional dependency packages that a parent package brings to its child package and are unique to the dependency packages imported by all other parents.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- HTML
- JavaScript
- + 1
Forgejo-aneksajo
A data management and collaboration platform based on Forgejo and extended with git-annex support. Essentially a git forge for data projects. It interoperates well with DataLad and provides a nice collaborative web hosting for datasets containing issue trackers, pull requests, CI, and more.
- collaboration
- data management
- Earth & Environment
- + 8
SimCATS
Simulation of CSDs for Automated Tuning Solutions (SimCATS) is a python framework for simulating charge stability diagrams (CSDs) typically measured during the tuning process of qubits.
- open source
- python
- Quantum Dots
- + 1
- Jupyter Notebook
- Python
HIPSTA
The HIPpocampal Shape and Thickness Analysis Toolbox (HIPSTA) present a geometry-based method for the analysis of local hippocampal thickness and curvature and constructs an intrinsic coordinate system (unrolling/flattening) for statistical analysis across multiple participants.
- MRI
- Neuroimaging
- open source
- + 1
- Python
- Dockerfile
LinMOG
LinMOG is a collection of tools for the generation of linear models for univariate and multivariate functions. Furthermore, the linear model can be automatically transformed into a MILP optimization formulation.
- Energy
- ESD
- ESD - Topic 2
- + 3
- Python
ehrapy
ehrapy is a modular open-source Python framework designed for exploratory end-to-end analysis of heterogeneous epidemiology and electronic health record data.
- Data analysis
- open source
- python
- Python
LLAMA
LLAMA is a cross-platform C++17/C++20 header-only template library for the abstraction of data layout and memory access. It separates the view of the algorithm on the memory and the real data layout in the background.
- C++
- heterogeneous computing
- High performance computing
- + 3
- C++
- CMake
- Shell
TBT-Segmentation
Our tool uses Temporal Behavior Trees (TBT), a novel formalism for monitoring specifications, to segment traces provided as CSVs. Developers input a trace, and the tool analyzes it using a TBT to identify which parts of the software worked and which didn’t, aiding in system analysis and debugging.
- CPS
- Formal Specification
- monitoring
- + 2
- Rust
- Python
- Shell
- + 2
mallocMC
This project provides a framework for fast memory managers on many core accelerators. It is based on alpaka to run on many different accelerators and implements the ScatterAlloc algorithm.
- CUDA
- heterogeneous computing
- High performance computing
- + 2
- C++
- CMake
- Cuda
- + 1
TrixiParticles.jl
Particle-based multiphysics simulations in Julia
- CFD
- Earth & Environment
- Information
- + 2
- Julia
VASCA
The VAriable Source Cluster Analysis (VASCA) is an astronomy pipeline for time-variable sources.
- Astronomy
- catalogue
- Data analysis
- + 6
- Jupyter Notebook
- Python