All software
Lokum
Deploy GlusterFS, Docker, Spark and JupyterHub services on bare-metal cluster.
- Big data
- High performance computing
- Optimized data handling
- Python
- HCL
- Shell
- + 2
LombScargle.jl
Compute Lomb-Scargle periodogram, suitable for unevenly sampled data. It supports multi-threading
- astronomy
- Astrophysics
- Julia Package
- Julia
LXCat
An open-access website for collecting, displaying, and downloading electron and ion scattering cross sections for modeling low temperature plasmas.
- Optimized data handling
- TypeScript
- Rust
- CSS
- + 2
LXCat schema
Type, JSON schema and validator for cross section set used in low-temperature plasma community.
m4ma
An R package containing C++ implementations to speed up the simulation and parameter estimation of the Predictive Pedestrian model.
- geospatial
- High performance computing
- Real time data analysis
- C++
- R
- C
Magic Castle
Magic Castle aims to recreate the HPC user experience in public clouds.
- CERN
- HPC
- research software
- + 1
- HCL
- Shell
- Python
marzipan
Deploying clusters of VMs on bare metal using OpenNebula, provisioning, and running services made easy by fully configurable scalable automation
- High performance computing
- Python
- Dockerfile
- Smarty
- + 1
Mass Spec Studio for Clinical Proteomics
A fusion of the popular OpenMS suite of functionality with the powerful Mass Spec Studio. Users have access to OpenDIA and OpenPRM to support large scale processing of clinical proteomics data sets.
- mass spectrometry
- proteins
- proteomics
Medical Image Processing in Python
This lesson introduces some specifics of medical image processing with popular Python libraries such as SimpleITK, Pydicom and NiBabel. Reconstruction algorithms, image and DICOM anonymization, registration, segmentation, data augmentation and generative AI are covered.
- Image processing
- medical
- radiology
mibibio
Collection of microbial analysis workflows to investigate microbiological community structure, characteristics and their degradation potential.
mibiremo
MiBiReMo (Microbiome Bioremediation Reaction Module) is a Python interface to the PhreeqcRM library. The package is designed to be coupled with transport models to simulate reactive transport in porous media, with applications in environmental and geochemical engineering.
- Python
- Makefile
mibiscreen
Data handling and screening package of the Microbiome based remediation Prediction Tool
- Data Analysis
- Multi-scale & multi model simulations
- python
- Python
- Jupyter Notebook
- Shell