All software
ESMValCore
ESMValTool Core: core functionalities and driver for ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP.
- Big data
- Optimized data handling
- Visualization
- + 1
- (Dockerfile)
- (HTML)
- (JavaScript)
- + 4
ArrayAnalysis
ArrayAnalysis provides a user-friendly solution for transcriptomic data analysis. It allows researchers, regardless of their bioinformatics expertise, to efficiently analyse, explore, and interpret RNA sequencing and microarray datasets.
- Data Analysis
- data visualization
- microarray
- + 2
- (Batchfile)
- (HTML)
- ("Inno Setup")
- + 2
Kernel Tuner
Kernel Tuner greatly simplifies the development of highly-optimized and auto-tuned CUDA, OpenCL, and C code, supporting many advanced use-cases and optimization strategies that speed up the auto-tuning process.
- Big data
- GPU
- High performance computing
- + 3
- (Cuda)
- (Python)
HEAST
Hybrid Electric Aircraft Sizing Tool (HEAST)
- Conceptual aircraft design
- Distributed propulsion
- Hybrid electric propulsion
- + 1
- (Markdown)
- (Matlab)
- (Other)
FAIR Data Point
RESTful web service that enables data owners to expose their data sets using rich machine-readable metadata.
- Big data
- Inter-operability & linked data
- (Dockerfile)
- (Makefile)
- (Python)
matchms
Python library for fuzzy comparison of mass spectrum data and other Python objects
- Big data
- Optimized data handling
- (Batchfile)
- (Makefile)
- (Python)
- + 1
Scholia
Graphical User Interface around Wikidata that uses SPARQL to collect data
- Wikidata
- (CSS)
- (Dockerfile)
- (HTML)
- + 3
splithalfr
Estimates split-half reliabilities for scoring algorithms of cognitive tasks and questionnaires.
- Data Analysis
- Statistics
- (R)
Paired omics data platform
If you do metabolomics experiments with mass spectra and have sequenced the genomes of the samples, then the platform can help you link them.
- Inter-operability & linked data
- (CSS)
- (Dockerfile)
- (HTML)
- + 3
Parcels
Parcels (Probably A Really Computationally Efficient Lagrangian Simulator) is a set of Python classes and methods to create customisable particle tracking simulations using output from Ocean Circulation models. Parcels can be used to track passive and active particulates such as plastic and fish.
- lagrangian-ocean-modelling
- ocean-circulation-models
- particles
- (Python)
DeepRank
Deep learning framework for data mining protein-protein interactions using CNN
- Big data
- Machine learning
- Optimized data handling
- (C)
- (Makefile)
- (Python)
- + 2
GrainLearning
Unsure about the parameters of your grains in a computer simulation? Use Iterative Bayesian Filtering to learn parameter distributions from limited data. Is your model running slowly? Speed up your simulations with machine-learning surrogates. All these features are integrated within GrainLearning.
- Bayesian Inference
- Data assimilation
- Machine learning
- + 2
- ("Jupyter Notebook")
- (PureBasic)
- (Python)
- + 1