Open Source Python Simulation Software - Page 11

SIREN demonstrates how electricity demand may be met by a mix of renewable energy sources. Users explore potential location and scale of renewable energy sources (stations, storage, transmission) to meet electricity demand. SIREN allows you to build scenarios for the energy mix for your area of interest. It is based around the map of your chosen area and allows you to visualise the layout of the existing electricity network plus the additional stations you place on the map to build your scenario(s). The map initially shows the main skeleton of the existing electricity grid infrastructure and current generation stations. The strength of the simulation is in running the SAM models developed by US NREL for each renewable station in your current simulation. SAM calculates a list of power outputs for each hour of the year and shows how they meet the electricity demand and identify generation shortfalls. Weather files created from NASA (MERRA2) satellite data make it applicable worldwide

In the selective laser melting process (SLM), components are built up layer by layer by incremental melting of metal powder with a laser beam. This process leads to locally inhomogeneous material properties of the manufactured components. By integrating these specific material properties of the SLM-process into a topology optimization, product developers can be supported in the design process by simulation. For this purpose, a topology optimization method is being developed which takes into account the unique material properties of parts manufactured with the SLM-process. In this homepage, the generation of a material database as well as the development of the topology optimization method is introduced and the impact on the component design is presented. SLM-Topo is a joint research project of the Institute of Product Engineering (IPEK) and the Institute for Applied Materials (IAM) of the Karlsruhe Institute for Technology (KIT) funded by the Deutsche Forschungsgemeinschaft (DFG).

Simulator for large neuronal networks using leaky INF as its basic element. Simple few line scripts will enable rapid creation of large networks with different connectivities. Aimed at researchers interested in quickly testing large networks of neurons.

STARucn (Simulation of Transmission, Absorption and Reflection of ultracold neutrons) is a Monte-Carlo software designed to simulate experimental setups and guides for ultra cold neutrons. It relies heavily on CERN's ROOT packages. Developing team : Benoit Clément, LPSC/UJF Damien Roulier, ILL/UJF

Stochastic simulator for signaling pathways occuring in biological cells. Handles reaction-diffusion processes in 3D tetrahedral meshes. Please check our new repository: https://github.com/CNS-OIST/STEPS

As the final step of manufacturing, assembly plays a very important role. During lens assembly, fabrication errors of components are summarized and dramatically affects lens performance. Selective assembly is cost-effective solution for improving the quality of assembled product. Also selective assembly could reduce cost of product by allowing loose tolerances. Selective Assembly GUI Application (SAGA) is ZEMAX extension which allows you to arrange components in best possible assemblies.

Sempy is a Python package for the solution of partial differential equations using the spectral element method.

SimED is a user-friendly Differential Equation simulation software. It can integrate numerically ODEs (Ordinary Differential Equations) using several methods, plot time and phase-space diagrams for variables, and interactively choose initial conditions.

SimFPGA is a graphical user interface (GUI) tool designed to facilitate the simulation of VHDL projects. It enables users to select VHDL source files and testbenches, configure library and standard settings, and run simulations using GHDL. Additionally, it allows visualization of waveforms through GTKWave. SimFPGA elaborates the project files using GHDL and builds the VHDL project before simulating it. This ensures code verification without the need for additional compilation tools. If an error is detected in any of the project files during elaboration or simulation, a message is displayed in the console indicating the type and location of the error, allowing the user to quickly resolve it.

SimForge is a web-based Agent Based Model of an Open Source Ecosystem implemented in Python with Django. Developers act on randomly drawn preferences to create, collaborate, and use software.

SAPS (Simple AOMDV Protocol Simulator) to narzędzie, które powstało na wydziale EITI Politechniki Warszawskiej. Służy do symulacji rutowania w sieciach opartych o protokół AOMDV. Wymagane biblioteki: - Python3.0+ - PyQt5+ - seqdiag ToDo: - Translacja na jęz. angielski - Ustawienia programu - Obserwacja wielu węzłów MSC. Autorzy: Daniel Waślicki Maciej Chotkowski

Slowmo is an application developed to calculate and plot the travel times of the wave front of a tsunami.

This Python module provides basic facilities for mathematics on fixed-point numbers. The number of fractional binary digits is tunable, allowing near-arbitrary precision arithmetic. Arithmetic & functions such as sqrt, exp, log, sin & cos are available. For the latest releases please visit https://github.com/rwpenney/spfpm

edef - A small simulation framework for logic circuits, autoregressive processes, digital controller circuits and many more. Also there is a GUI application, that integrates a simple development environment and a circuit editor.

Simula Generación 1.

This is a set of Python classes that can be used to simulate dynamic multi-body systems. It used to be a project for studies. Now it is not being worked on anymore, but it is completely GPLized.

Sketcher is a real-time 2D physics simulator where objects drawn on a virtual sketchpad can interact with each other when gravity is enabled. Additional features will allow multiple users to join sessions and concurrently interact using shared sketchpads

Programs to download and work with satellite measurements, calculate solar wind (SW) propagation time and compare data to other satellites. It uses and compares different modern techniques to determine the SW planar structures orientation.

The aim of project is creating program environment for solving some integral equations, arising at solving mathematical problems of the diffraction theory.

Spasmos is a Python package that allows scientists to simulate the dynamics of highly collisional plasmas using a number of numerical methods.

En demonstratar av ett verktyg som simulerar åtgärder mot buller från järnväg.

SunlightDPD provides a home for open source codes related to the dissipative particle dynamics (DPD) simulation method. Currently the file release contains the HNC integral equation code.

SunlightLB is an open-source 3d lattice Boltzmann code which can be used to solve a variety of hydrodynamics problems, including passive scalar transport problems.

This project simulates a multi-agent system (swarm) behavior both graphically and not. The purpose of this project is to research the properties suggested in "stability analysis of swarms" V.Gazi & K.M.Passino. Using the vpython library for 3D modeling

TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP congestion control algorithm), an experiment is made up of multiple tests. For each experiment and test, TEACUP collects a range of data, such as tcpdump files of traffic seen or TCP stack information (e.g. using Web10G). TEACUP also collects a variety of metadata from the end hosts and bottleneck router, such as the actual OS/kernel version(s) used. TEACUP also provides some simple tools for analysing the results of experiments, such as plotting a flow's experienced RTT over time.