Open Source Python Scientific/Engineering Software - Page 18

Load a folder with images from raster electron microscope, choose necessary options and let the algorythm calculate the characteristics of the line.

LipidXplorer is an uniqe software to identify lipids from high to low resolution mass spectra.

1. Create an object-oriented python script that can represent mathematical concepts and their properties. 2. Represent all numeric values exactly. 3. Provide a variety of formats to export or embed representations of the mathematical concepts.

Программа обеспечивает импорт разных форматов файлов и обработку по ним на станке ЧПУ.

Mathpad is a command line utility. It will later have a GUI, but not at this time.

MerDAQ is a data acquisition GUI and other tools for collecting and storing time dependent. Originally designed to collect 4 temperature data vs. time and plot one of the temperatures in real time with matplotlib. Ideal for use with Arduino.

A modular, network transparent and realtime capable C++ framework for controlling robots and other kind of hardware.

The NUMIPAD library implements several methods/algorithms to solve inverse problems and adaptive decomposition (i.e. Tikhonov regularization, Total Variation, Basis Pursuit, etc.)

NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.

The goal of this project is to implement an OPC UA communication stack using the python programming language. Currently we are working on a series of articles, describing how we can use python to implement the communication stack. Some code snippets have already been written!

Lattice dynamical calculations for inelastic X-rays scattering experiments

PAIDA is pure Python scientific analysis package and supports AIDA (Abstract Interfaces for Data Analysis). PAIDA can create/plot histograms and functions etc. The parameter optimization and its error evaluation are also supported. Can use with Jython!

PhiPsi is a 2D and 3D computational solid mechanics program, which involves the extended finite element method (XFEM), as well as the finite element method (FEM). PhiPsi is written in Fortran and compiled using the GNU Fortran compiler (gfortran). PPView is a visualization tool for PhiPsi. PPView can be used to import Abaqus inp file, view the model defined in the PhiPsi keywords file (*.kpp), edit PhiPsi keywords file, perform a PhiPsi simulation, and view the simulation result files generated by PhiPsi. PPView contains the latest executable program of PhiPsi. Features of PhiPsi: ○ Supported analysis type: 2D, 3D static analysis; 2D, 3D hydraulic fracturing analysis; 2D, 3D dynamic analysis; and 2D field problems analysis. ○ Support as many as 1000 fractures, voids and inclusions. ○ Intersection of 2D and 3D fractures, intersection of fracture and voids or inclusion. ○ Keywords file support with parameter definition and four operations (+, -, *, and /). ○ Other features.

Software for exploring & solving polyform puzzles, written in Python. Includes solvers for: pentominoes/polyominoes, solid pentominoes, Soma cubes, polycubes, polyiamonds, polyhexes, polysticks, and more to come.

Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.

(Historical) PyAcad makes Python available as a scripting language to AutoCAD/IntelliCAD. A builtin module "ads" allows to access and control most aspects of AutoCAD/IntelliCAD from Python programs.

Python module for manipulation of Crystallographic Information Framework (CIF) files

PySpline is a graphical, cross-platform program for processing X-ray absorption spectroscopy (XAS) and Extended X-ray absorption fine structure (EXAFS) data. It allows processing parameters to be adjusted and observe the effect on R-space data.

Latest version is 1.2, released Mar 12, 2016 PyWham is a flexible and fully customizable implementation of the Weighted Histogram Analysis Method (WHAM) in Python 2. PyWham has been carefully designed with flexibility in mind. Some of its features are: (1) any number of reaction coordinates, (2) any form of potential, (3) compatibility with Python syntax and Python math module and (4) support for user-defined functions. Knowledge of Python is not required.

A Python interface to the Wordnet database of word meanings and lexical relationships. allows the user to type expressions such as N['dog'], hyponyms(N['dog'][0]), and closure(ADJ['red'], SYNONYM) to query the database for lexical relationships.

This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress

This project provides a library written in Python for reading and eventually writing ISO8211 files. ISO8211 is a format used for various GIS systems (geographic data), including SDTS, the format used by the US Geological Survey.

This is a viral quasispecies reconstruction software for quasispecies assembly problem on mRNA viruses, which is based on a correlation clustering approach and uses semidefinite optimization framework. The software accepts a reference genome, a NGS read set aligned to this reference and set of SNP locations in the form of a vcf file and outputs an optimal set of reconstructed species genomes which describes the underlying viral population.

QuickFlash is a C++-based analysis library for data files generated by the Flash hydrodynamics code. It provides high-performance access to large datasets in low memory situations and other restrictive environments.

RADAR stands for Rapid Automatic Detection and Alignment of Repeats in protein sequences. RADAR identifies gapped approximate repeats and complex repeat architectures involving many different types of repeats. Radar has moved to github (https://github.com/AndreasHeger/radar)