Netherlands eScience Center
National platform for the development and application of domain overarching software and methods for the scientific community
KLIFS KNIME nodes
If you are working in the KNIME worflow platform and need data about your favorite kinase receptor ligand interaction, then these nodes are for you.
- Workflow technologies
- (Java)
- (Scala)
- (Shell)
KNIME node for Kripo
A node for the KNIME workflow systems that allows you to compare different binding sites in proteins with each other.
- Workflow technologies
- (Java)
KNIME molecule viewer nodes
A 3D viewer for large molecules for the KNIME workflow system.
- Visualization
- Workflow technologies
- (CSS)
- (Java)
- (JavaScript)
KNIME ss-TEA node
A node for the KNIME workflow systems that allows you to identify which residue position in a big protein sequence alignment is specific to ligand binding.
- Workflow technologies
- (Java)
KNIME Testflow
Allows you to test KNIME nodes automatically using JUnit.
- Workflow technologies
- (Java)
kunefe
A Python package that helps users run containerized applications on HPC systems
- Agent-based modeling
- Apptainer
- containers
- + 5
- (Dockerfile)
- (Python)
- (Shell)
LARA Lab Automation
Open source toolset for lab automation
- laboratory automatization
- (Dockerfile)
- (HTML)
- ("Jupyter Notebook")
- + 4
laserchicken
Toolkit for preprocessing and feature calculation of point clouds created using airborne laser scanning
- Big data
- Machine learning
- ("Jupyter Notebook")
- (Python)
Laserfarm
Laserfarm: Laserchicken Framework for Applications in Research in Macroecology. Leverage Laserchicken in distributed fashion to use continental scale point cloud datasets for research.
- (Dockerfile)
- ("Jupyter Notebook")
- (Python)
leakybucket
A Python BMI leaky bucket model 🪣
- (Dockerfile)
- ("Jupyter Notebook")
- (Python)
Lightning
Lightning: Fast data processing using GPUs on distributed platforms
- Big data
- GPU
- High performance computing
- (C++)
- (Python)
- (Rust)
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)