Netherlands eScience Center
National platform for the development and application of domain overarching software and methods for the scientific community
Lilio
A Python package for generating calendars to resample timeseries into training and target data for machine learning. Named after the inventor of the Gregorian Calendar.
- AI
- Preprocessing
- S2S
- Python
- Shell
LitStudy
Explore scientific literature using Python from the comfort of a Jupyter notebook
- Inter-operability & linked data
- Text analysis & natural language processing
- Visualization
- HTML
- Python
lofar-ld
Publish LOFAR catalog as Linked Data.
- Inter-operability & linked data
- Makefile
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
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
- C++
- R
MAGMa
MAGMa is an online application for the automatic chemical annotation of mass spectrometry data.
- Big data
- Visualization
- CSS
- Cython
- Dockerfile
- + 5
MagnumPI - Potential Integrator
A package for the calculation of scattering angles and cross sections.
- Inter-operability & linked data
- Visualization
- C++
- CMake
- M4Sugar
- + 2
Mahiru
A prototype for a federated, distributed data sharing and processing system.
- Data processing
- Data Sharing
- Policies
- + 1
- C
- Dockerfile
- Makefile
- + 2
marzipan
Deploying clusters of VMs on bare metal using OpenNebula, provisioning, and running services made easy by fully configurable scalable automation
- High performance computing
- Dockerfile
- Python
- Shell
- + 1
Massive PotreeConverter
Use parallel processing to quickly convert large point cloud data sets to the format used by the Potree viewer.
- Big data
- Optimized data handling
- Python