All software
pyglotaran
A Python library for Global and Target Analysis of time-resolved spectroscopy data
- biophysics
- global analysis
- glotaran
- + 3
- Python
- Nix
Ricgraph - Research in context graph
With Ricgraph (Research in context graph), you can create a graph from research information that is stored in various source systems. You can explore this graph and discover relations you were not aware of.
- graph
- graph database
- research in context graph
- + 2
- Python
- Makefile
- Shell
- + 5
sfb-annotator
Annotate field books of natural history collections
- Inter-operability & linked data
- JavaScript
- Java
- CSS
- + 4
ShiCo
A visualization that shows how the meaning we attach to a given concept shifts over time.
- Text analysis & natural language processing
- Visualization
- Python
- JavaScript
- HTML
- + 3
SicHash
A perfect hash function is a function that has no collisions on a given set. SicHash places objects in a cuckoo hash table and then stores the final hash function choice of each object in a retrieval data structure. Using irregular cuckoo hashing, each object has a different number of hash functions
- C++
- TeX
- Shell
- + 2
SMG2S
SMG2S (Sparse Matrix Generator with Given Spectrum) is able to generate large-scale non-Hermitian and non-Symmetric matrices in parallel with the spectral distribution functions or eigenvalues given by users, and the spectrum of generated matrix is the same as the one specified by the users.
- CPU
- High performance computing
- Matrix Computation
- + 1
- C++
- Python
- CMake
- + 1
TBT-Segmentation
Our tool uses Temporal Behavior Trees (TBT), a novel formalism for monitoring specifications, to segment traces provided as CSVs. Developers input a trace, and the tool analyzes it using a TBT to identify which parts of the software worked and which didn’t, aiding in system analysis and debugging.
- CPS
- Formal Specification
- monitoring
- + 2
- Rust
- Python
- Shell
- + 2
Tigramite
Tigramite is a python package for causal inference with a focus on time series data. It allows to efficiently estimate causal graphs from high-dimensional time series datasets (causal discovery) and to use graphs for the estimation and prediction of direct, total, and mediated effects.
- causal inference
- python
- time series analysis
- Jupyter Notebook
- Python
tortellini
GitHub action to check whether any licensing issues exist for given software.
- TypeScript
- JavaScript
UQTestFuns
A Python3 library of uncertainty quantification (UQ) test functions
- Benchmark
- python
- Software Testing
- + 1
- Python
- TeX
Pedestrian random walk in NetLogo (ch2.1)
A collection of methods for random walk in NetLogo, including various movement restrictions, biases, and algorithm alternatives.
Place them on the map
Multiple agent placement in specific geographical location. Set up an input number of agents (turtles) at an input location (cell or patch) in an grid holding the input spatial data (map).