Displaying 1 to 19 from 19 results

BRL-CAD - Solid Modeling System

  •    Java

BRL-CAD is a powerful cross-platform constructive solid geometry solid modeling system that includes an interactive geometry editor, ray-tracing for rendering amp; geometric analyses, network distributed framebuffer support, image & signal-processing tools.


  •    DotNet

NModel is a model-based analysis and testing framework for model programs written in C#. It provides software support for the book "Model-based Software Testing and Analysis with C#", Cambridge University Press, 2008.

Architecture Layer Patterns For Visual Studio


Architecture layers patterns toolbox items for layers diagrams.

Windows Workflow Foundation Toys


Attempting to fill in the gaps in regards to Windows Workflow Foundation. This project will be expanding over time as we identify holes in the product that reusable code can fill.

modelr - Helper functions for modelling

  •    R

The modelr package provides functions that help you create elegant pipelines when modelling. It is designed primarily to support teaching the basics of modelling within the tidyverse, particularly in R for Data Science. modelr is stable: it has achieved its goal of making it easier to teach modelling within the tidyverse. For more general modelling tasks, check out the family of “tidymodel” packages like recipes, rsample, parsnip, and tidyposterior.

esri-cityengine-sdk - Develop 3D applications using the procedural geometry engine of Esri CityEngine


Esri CityEngine is based on Esri Procedural Runtime, which is the underlying engine that supports two geoprocessing tools in ArcGIS and drives procedural symbology in ArcGIS Pro. The CityEngine SDK enables you as a 3rd party developer to extend CityEngine with additional import and export formats. Moreover, you can integrate the procedural runtime in your own client applications taking full advantage of the procedural core without running CityEngine or ArcGIS. The archives are available for download at the corresponding github release page. See installation instructions below for details.

BluePyOpt - Blue Brain Python Optimisation Library

  •    Python

The Blue Brain Python Optimisation Library (BluePyOpt) is an extensible framework for data-driven model parameter optimisation that wraps and standardises several existing open-source tools. It simplifies the task of creating and sharing these optimisations, and the associated techniques and knowledge. This is achieved by abstracting the optimisation and evaluation tasks into various reusable and flexible discrete elements according to established best-practices.

zanzarah-tools - The set of various zanzarah browsing and editing tools, written entirely in coffee and js

  •    Javascript

This repo contains all my Zanzarah editing and browsing tools. It came out from the effort to reverse-engineer the wonderful game: Zanzarah - the Hidden Portal, to provide all the tools for community to make various mods, modify the world and to enhance this pretty old game. There are also some tools in scripts folder.

desim - Discrete Event Simulations

  •    Go

Focus on your model, desim handles the rest. desim is a framework that allows one to quickly produce programs that implement a simulation. desim takes care of scheduling events in a simulation and gathering results, and lets you focus on the model you want to simulate.

windpowerlib - The windpowerlib is a library to model the output of wind turbines and farms.

  •    Python

The windpowerlib is a library that provides a set of functions and classes to calculate the power output of wind turbines. It was originally part of the feedinlib (windpower and photovoltaic) but was taken out to build up a community concentrating on wind power models. For a quick start see the Examples and basic usage section.

oemof-solph - A model generator for energy system modelling and optimisation (LP/MILP).

  •    Python

The oemof.solph package is part of the Open energy modelling framework (oemof). This an organisational framework to bundle tools for energy (system) modelling. oemof-solph is a model generator for energy system modelling and optimisation. The oemof.solph package is very often called just oemof as it was part of the oemof meta package. Now you need to install oemof.solph separately, but everything else is still the same. Since v0.4.0. it is not possible to install just oemof, use pip install oemof.solph instead.

openfluid - OpenFLUID framework and applications

  •    C++

Further informations are available on the OpenFLUID site at www.openfluid-project.org. See also the LICENSE and AUTHORS files included in the sources.

ecmwf_models - Python package for downloading ECMWF reanalysis data and converting it into a time series format

  •    Python

Readers and converters for data from the ECMWF reanalysis models. Written in Python. Works great in combination with pytesmo.

gldas - Readers and converters for data from the GLDAS Noah Land Surface Model. Written in Python.

  •    Python

Readers and converters for data from the GLDAS Noah Land Surface Model. Written in Python. Works great in combination with pytesmo.

xarray-simlab - Xarray extension and framework for computer model simulations

  •    Python

xarray-simlab is a Python library that provides both a generic framework for building computational models in a modular fashion and a xarray extension for setting and running simulations using the xarray's Dataset structure. It is designed for fast, interactive and exploratory modeling. xarray-simlab is well integrated with other libraries of the PyData ecosystem such as dask and zarr.

epicrop - Simulation Modelling of Crop Diseases Using a Susceptible-Exposed-Infectious-Removed (SEIR) Model

  •    R

A fork of cropsim designed to make using the EPIRICE model (Savary et al. 2012) for rice diseases easier to use. This version provides easy to use functions to fetch weather data from NASA POWER, via the nasapower package (Sparks 2018, Sparks 2020) and predict disease severity of five rice diseases using a generic SEIR model (Zadoks 1971) function, SEIR(). The original EPIRICE manuscript, Savary et al. (2012), which details the model and results of its use to model global epidemics of rice diseases, was published in Crop Protection detailing global unmanaged disease risk of bacterial blight, brown spot, leaf blast, sheath blight and tungro, which are included in this package.