Open Source Python Physics Software for Mac - Page 3

Charybdis is a Python-driven set of applications for solving partial differential equations on irregular domains.

A toolkit in C++ and python to process both experimental and simulation data of colloidal particles. Includes among others * a multiscale particle tracking algorithm [1] whose C++ implementation is optimised for 3D confocal data. Python implementation is more versatile (2D and 3D data). * a Leica file reader, * Steindhard bond orientational order calculation * a VTK file writer 1. Leocmach, M. & Tanaka, H. A novel particle tracking method with individual particle size measurement and its application to ordering in glassy hard sphere colloids. Soft Matter 9, 1447–1457 (2013). https://dx.doi.org/10.1039/C2SM27107A (http://arxiv.org/pdf/1301.7237.pdf)

Dielectrophoresis for microfluidic applications, especially those biological, implemented in python

Damocles is a game engine programmed in C++.(Opengl/SDL) ||| OS:Linux / Windows ||| 3 main modules in Damocles: ||| Damocles : 3D engine |||Junior : Physic and Mathematics engine ||| Unik : Network engine (Only for Windows version for the moment)

A Python package that provides classes and tools for dealing with dimensional quantities. Includes a parser for the quantity language (i.e. calculates "3 meters per second in miles per hour") and a class for constructing matrices containing dimensions.

Dimenso is a library of numeric types for .Net and Java, that obey dimensional analysis and permit calculations with physical quantities. Due to the lack of C++ - like templates with numeric arguments, code generation is employed using Python.

Distributions Networks Analyzer (DNA) is a tool for simulating (power flow) and analyzing electrical distribution networks. Users can easily implement and test their own power flow, optimal power flow and control algorithms.

Echoproc is a piece of scientific analysis software used to extract physical ice sheet characteristics from radio echograms from experiments like the Center for the Remote sensing of ice sheets (https://www.cresis.ku.edu/)

Facilitates retrieval of personalized comments previously put into code. While writing new, (or reviewing old) code, user adds search-tag (the string "EGOF") to comments. Subsequently running Egof (followed by optional search words) retrieves them. Code can be in any programming language, or scripts used by applications, or HTML or LaTex files. Sounds like a combination of Unix find/grep, but has many more features. Searching is faster since database files are created, one per language. When creating them Egof goes through all (or specified subset of) user's folders/files, finds instances of the search-tag, and stores those lines of code plus some surrounding code. During running, Egof displays a prompt, and allows users to change options and modify the search, (using the same option-parsing software that was used to parse the command line.) Egof is command-line based. The documentation is comprehensive. Please invest <5 min to read the "Overview" section. Thank you.

An object-oriented partial differential equation (PDE) solver, written in Python, based on a standard finite volume approach and includes interface tracking algorithms. *WARNING* The project is no longer using Sourceforge to maintain its repository.

HOPSA, high oxygen pressure sputter automation, is a Python 3 project to control a step wise sample creation Process. Although written for this specific task it is easy to adopt for any experimental task which changes hardware parameters and waits for a specific condition before proceeding. The graphical interface (QT4) includes plotting (matplotlib), instrument configuration/monitoring and a program step creator. The communication with the hardware is independent of the GUI and any number of devices can be selected. To modify the code for any other task only the hardware interface needs to be redefined.

LAMMPS is a classical molecular dynamics simulator designed for parallel machines. It can model atomic, polymeric, biological, metallic, or mesoscale systems using a variety of force fields and boundary conditions and is easy to modify or extend.

Simulation-Application for the Lennard-Jones-12-6-Potential using Python and OpenGL.

LOOS is a light-weight object oriented software library for creating new tools for analyzing molecular simulation data, written in C++. The main design goal is to allow casual programmers to easily implement new analysis methods. THIS PAGE IS NO LONGER UPDATED. Please see https://github.com/GrossfieldLab/loos for all recent developments

A python package that allows scientists to easily create configurable and reusable experiments. Intended for use with the LabRAD framework. Developed by the Haeffner group studying quantum simulation at UC Berkeley. Wiki at lrexp.wikispaces.com

Larch is a scientific data processing language that is designed to be easy to use for novices and complete enough for advanced data processing and analysis. Larch provides a wide range of functionality for dealing with arrays of scientific data, and basic tools to make it easy to use and organize complex data. Larch has been primarily developed for dealing with x-ray spectroscopic and scattering data, especially the kind of data collected at modern synchrotrons and x-ray sources. Larch is written in Python and relies heavily on the standard tools for scientific computing with Python (numpy, scipy, matplotlib, and h5py).

This library contains the parametrization of pp->gamma cross section functions based on Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369) work. The functions are written in Python, Fortran and Matlab. Please, if you use this library DO NOT reference to this webpage, instead reference to Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369), "Parametrization of gamma-ray production cross-sections for pp interactions in a broad proton energy range from the kinematic threshold to PeV energies" by Ervin Kafexhiu, Felix Aharonian, Andrew M. Taylor, Gabriela S. Vila

Not a whole lab, just a small bench ! **Feel free to contact me via https://sourceforge.net/sendmessage.php?touser=1865508 if you want to take over this project** Mathbench is intended for the development of short scripts such as those daily used when doing research in applied mathematics and physics. Simple widgets and a strong plugin system make it useful and extensible. ANNOUCEMENT: Mathbench's purpose is still relevant and could also benefit from the latest improvements of the wxPython toolkit. However, for lack of time, it is not actively developped anymore. Feelf you want to take over this project, I'd be happy to let it evolve in other hands. I might ask a few questions on what you intend to do before giving up all control on it though :)

Modama is a new software project for processing and analysing 2d detector data (images) provided by any available detectors, mainly SAX and WAX.

The goal of Motorsport is to become the most realistic simulation of wheeled vehicles possible. The addition of cars and tracks will be a simple task, and there will be a system for customization of most of the simulator features.

NanoCap is a generic application for the construction of low energy fullerene and capped nanotube structures. It provides an ideal tool to accompany the study of finite carbon molecules using computer simulation. The implementation involves a standalone application which includes a GUI and allows for dynamic visual inspection through 3D rendering. In addition, the NanoCap core libraries can be used in custom Python scripts that enabled the user to produce structures in bulk or to include the structure generation routines into pre-existing code.

OpenPIV is an initiative of scientists to develop a software, algorithms and methods for the state-of-the-art experimental tool of Particle Image Velocimetry (PIV) which are free, open source, and easy to operate.

OpenMie aims to solve electromagnetic scattering problems via the Mie method to provide a benchmark against which to test more general scattering codes. Complete field solutions are given for a number of practical geometries.

Follow us on www.openpiv.net and Github: http://github.com/openpiv