All software
EXCITED Machine Learning Workflow
An open workflow for creating machine learning models for estimating the global biospheric CO2 exchange.
- CO2
- Data Analysis
- geospatial
- + 4
- Jupyter Notebook
- Python
JupyterLab dataset browser for THREDDS
A browser that allows you to include NetCDF data stored in THREDDS catalog into a Jupyter Notebook.
- Big data
- Optimized data handling
- CSS
- JavaScript
- Jupyter Notebook
- + 2
Lokum
Deploy GlusterFS, Docker, Spark and JupyterHub services on bare-metal cluster.
- Big data
- High performance computing
- Optimized data handling
- Dockerfile
- HCL
- Python
- + 2
LXCat
An open-access website for collecting, displaying, and downloading electron and ion scattering cross sections for modeling low temperature plasmas.
- Optimized data handling
- CSS
- Dockerfile
- JavaScript
- + 2
NIM-Studio
- Imaging and Image Processing
- Inter-operability & linked data
- neuroimaging
- + 3
One button compute
Web application for running a CWL workflow on a bunch of files.
- Optimized data handling
- Workflow technologies
- Common Workflow Language
- HTML
- Python
OpenDA
Open data assimilation toolbox. OpenDA is an open interface standard for a set of tools to quickly implement data-assimilation and calibration for arbitrary numerical models.
- Optimized data handling
- Batchfile
- Brainfuck
- C
- + 23
pdbtbx-ts
Want to parse Protein Data Bank files in JavaScript
- Optimized data handling
- JavaScript
- Rust
- TypeScript
Scifeon Lims, ELN and Workflow Automation
Scifeon is a modular lab informatics platform combining LIMS and ELN to streamline workflows, ensure compliance, and increase productivity—designed for biotech and regulated labs.
- auditory processing
- Big data
- bioinformatics
- + 14
STAC2dCache
STAC2dCache is a Python tool to create and manipulate STAC catalogs on a dCache storage system.
- Data
- geospatial
- metadata
- + 2
- Jupyter Notebook
- Python
XrayTIFF2h5
This repository provides a workflow to transform X-rays data originally stored in .TIFF format, into .h5. Overall, this makes the data more compressed and easier to process in machine learning pipelines, such as unsat.
- Optimized data handling
- Workflows
- Makefile
- Python