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port-for
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public |
port-for is a command-line utility and a python library that helps with local TCP ports managment
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2025-09-30 |
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improver
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public |
IMPROVER is a library of algorithms for meteorological post-processing and verification.
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2025-09-30 |
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dyno
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public |
A simple library for solving dynamic stochastic economic models.
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2025-09-30 |
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r-markovchain
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public |
Functions and S4 methods to create and manage discrete time Markov chains more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of their structural proprieties) analysis are provided.
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2025-09-30 |
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bmad
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public |
Bmad is an object oriented, open source, subroutine library for relativistic charged-particle dynamics simulations in accelerators and storage rings.
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2025-09-30 |
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r-datavisualizations
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public |
Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of 'DataVisualizations' is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data published in Thrun, M.C. et al.: "Analyzing the Fine Structure of Distributions" (2020), PLoS ONE, <DOI:10.1371/journal.pone.0238835>. The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot and geom_violin plot of ggplot2. Furthermore, a collection of various visualization methods for univariate data is provided. In the case of exploratory data analysis, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for two variables as well as the Shepard density plot and the Bland-Altman plot are presented here. Pertaining to classified high-dimensional data, a number of visualizations are described, such as f.ex. the heat map and silhouette plot. A political map of the world or Germany can be visualized with the additional information defined by a classification of countries or regions. By extending the political map further, an uncomplicated function for a Choropleth map can be used which is useful for measurements across a geographic area. For categorical features, the Pie charts, slope charts and fan plots, improved by the ABC analysis, become usable. More detailed explanations are found in the book by Thrun, M.C.: "Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.
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2025-09-30 |
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r-rpref
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public |
Routines to select and visualize the maxima for a given strict partial order. This especially includes the computation of the Pareto frontier, also known as (Top-k) Skyline operator (see Börzsönyi, et al. (2001) <doi:10.1109/ICDE.2001.914855>), and some generalizations known as database preferences (see Kießling (2002) <doi:10.1016/B978-155860869-6/50035-4>).
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2025-09-30 |
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dragon-ml-toolbox
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public |
A collection of tools for data science and machine learning projects
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2025-09-30 |
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r-rstantools
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public |
Provides various tools for developers of R packages interfacing with 'Stan' <https://mc-stan.org>, including functions to set up the required package structure, S3 generics and default methods to unify function naming across 'Stan'-based R packages, and vignettes with recommendations for developers.
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2025-09-30 |
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r-stanheaders
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public |
The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
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2025-09-30 |
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mapchete
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public |
Tile-based geodata processing using rasterio & Fiona
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2025-09-30 |
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libzeep
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public |
C++ library for reading and writing XML and creating web, REST and SOAP servers.
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2025-09-30 |
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azure-monitor-query
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public |
Microsoft Azure Monitor Query Client Library for Python
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2025-09-30 |
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neo4j-python-driver
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public |
Neo4j Bolt driver for Python
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2025-09-30 |
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hyfetch
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public |
Command-line tool that presents system info with LGBTQ+ pride flags
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2025-09-30 |
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dialectid
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public |
Computational models for dialect identification.
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2025-09-30 |
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flopy
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public |
FloPy is a Python package to create, run, and post-process MODFLOW-based models
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2025-09-30 |
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geo-parameters
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public |
Metadata of geophysical (especially wave) parameters
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2025-09-30 |
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ome-zarr-models
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public |
A minimal Python package for reading OME-Zarr (meta)data
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2025-09-30 |
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zen-engine
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public |
Open-Source Business Rules Engine
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2025-09-30 |
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fans
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public |
FANS: an open-source, efficient, and parallel FFT-based homogenization solver designed to solve microscale multiphysics problems.
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2025-09-30 |
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supabase-pydantic
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public |
A Pydantic(+) model generator for Supabase
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2025-09-30 |
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upstage-des
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public |
A library for behavior-driven discrete event simulation.
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2025-09-30 |
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cross-r-base
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public |
R is a free software environment for statistical computing and graphics.
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2025-09-30 |
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r-base
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public |
R is a free software environment for statistical computing and graphics.
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2025-09-30 |
