Open Source Windows Scientific/Engineering Software

SimSEE is a tool for optimal dispatch of hydrothermal electrical power systems. Yo can simulate de operation of petroleum fired plants, wind and solar farms, country interconnections and hydro plants with reservoires.

Paleta de Componentes para as Linguagens Delphi e Lazarus, compatível com Windows e Linux, que permite acesso direto a equipamentos de Automação Comercial, sem DLL's, interagindo com eles direto na porta serial.

Line-drawing and polygon-filling rasterization algorithms in Java. Simple 2D package and more complex 3D package with Z-buffering. Texture mapping not supported at the moment. Color interpolation for lines, Gouraud shading for polygons fully supported. Floating point vertex coordinates, not integer. Pixel-level aliasing, not endpoint aliasing. Doesn't use Bresenham line style! Works with all Java versions. No external dependencies. Suitable for study in academic institutions, especially as related to line-drawing accuracy. Particular attention to detail concerning chopping of accumulation errors, using a cast from 64 bit to 32 bit strategy, in the interval [1.0,2.0). Individual pixel errors with overlapping polygons or line segments are about one in a billion, but I can't reproduce any errors at the moment by using random number generation with tens of millions of cases. Emphasis not only on correctness, but also on performance for real-world use or hardware implementation.

OpenJUMP is a community driven fork of JUMP the "Java Unified Mapping Platform" GIS software. The original JUMP was developed by Vivid Solutions, released under GPL2 in 2003 and discontinued in 2006. During 2004 already some enthusiastic developers joined together to enhance further the features of JUMP. They launched an independent development branch called OpenJUMP. The name gives credit to the original JUMP development, and at the same time describes the objectives of this project to be fully open to anyone wanting to contribute. These days OpenJUMP is developed and maintained by (some few) volunteers around the globe. If you need functionality or even better want to contribute you are very welcome to contact us at our mailing list.

Agena is an easy-to-learn procedural programming language suited to be used in scientific, mathematical, scripting, networking, and many other applications. Binaries are available for Solaris, Windows, Linux, OS/2, Mac OS X, Raspberry Pi and DOS.

A free cross-platform library of fast C++ routines for the plotting of up to 3-ranged data. It can export to bitmap and vector EPS/SVG files. There are window interfaces (GLUT/FLTK/Qt) and console tools. MathGL can be used from C/Fortran/Python/Octav/Lua

gretl is a cross-platform software package for econometric analysis, written in the C programming language.

With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order. What’s new is that JAX uses XLA to compile and run your NumPy programs on GPUs and TPUs. Compilation happens under the hood by default, with library calls getting just-in-time compiled and executed. But JAX also lets you just-in-time compile your own Python functions into XLA-optimized kernels using a one-function API, jit. Compilation and automatic differentiation can be composed arbitrarily, so you can express sophisticated algorithms and get maximal performance without leaving Python.

The simple program is a Witleaf handheld pulse oxymeter BIN file format data decoder. It reads BIN-files produced by popular professional pulse oxymeters manufactured by Shenzhen Witleaf Medical Electronics Co., Ltd. (like the WIT-S300 shown in the photo on the right) and produces a CSV-formatted output with the extracted data to stdout (gets printed to the console if not directed otherwise). More info on https://github.com/mrKirushko/OxyWitleaf2CSV .

The auditory modeling toolbox (AMT) is a Matlab/Octave toolbox for the development and application of auditory computational models. Over 50 auditory models implemented in Matlab, Octave, C, C++, and Python can be run from Matlab and Octave, on Windows and Linux. The AMT provides a well-structured in-code documentation, includes auditory data required to run the models. It integrates functionality to reproduce the model predictions. Model implementations can be evaluated in two stages, by running so-called demonstrations which are quick presentations of a model and by starting so-called experiments aimed at reproducing results from the corresponding publications. Easy installation and user-friendly access help students and researchers to work with and to advance existing models.

The Chemistry Development Kit (CDK) is a scientific, LGPL-ed library for bio- and cheminformatics and computational chemistry written in Java. The main home page of the CDK is now at: http://cdk.github.io

Eventer is a programme designed for the detection of spontaneous synaptic events measured by electrophysiology or imaging. The software combines deconvolution for detection, and variable length template matching approaches for screening out false positive events. Eventer also includes a machine learning-based approach allowing users to train a model to implement their ‘expert’ selection criteria across data sets without bias. Sharing models allows users to implement consistent analysis procedures. The software is coded in MATLAB, but has been compiled as standalone applications for Windows, Mac and Linux. Please visit the official Eventer website for more info https://eventerneuro.netlify.app/ While the paper is in preparation, please cite as; Winchester, G., Liu, S., Steele, O.G., Aziz, W. and Penn, A.C. (2020) Eventer. Software for the detection of spontaneous synaptic events measured by electrophysiology or imaging. http://doi.org/10.5281/zenodo.3991676

This is an official mirror of FreeCAD. Code and release files are primarily hosted on https://github.com/FreeCAD/FreeCAD and mirrored here. FreeCAD is a general purpose feature-based, parametric 3D modeler for CAD, MCAD, CAx, CAE and PLM, aimed directly at mechanical engineering and product design but also fits a wider range of uses in engineering, such as architecture or other engineering specialties. It is 100% Open Source and extremely modular, allowing for very advanced extension and customization. FreeCAD is based on OpenCasCade, a powerful geometry kernel, features an Open Inventor-compliant 3D scene representation model provided by the Coin 3D library, and a broad Python API. The interface is built with Qt. FreeCAD runs exactly the same way on Windows, Mac OSX and Linux platforms.

Google Optimization Tools, also known as OR-Tools is an open-source, fast and portable software suite for solving combinatorial optimization problems. These encompass problems in vehicle routing, flows, integer and linear programming, and constraint programming. This suite contains a number of solvers, namely: a constraint programming solver; a linear programming solver; wrappers for commercial solvers (like Gurobi or CPLEX) and other open source solvers (SCIP, GLPK, etc.); among others. OR-Tools is written in C++, but comes with wrappers for Python, C# and Java. Once you model your problem in your preferred programming language, you can then use any of OR-Tools’ available solvers. OR-Tools is an award-winning project, having won three gold medals in the 2020 MiniZinc Challenge, the international constraint programming competition.

https://sourceforge.net/p/contools/contools/ci/master/tree/README.md https://sourceforge.net/p/contools/contools/ci/master/tree/README_EN.txt https://sourceforge.net/p/contools/contools/ci/master/tree/README_EN.deps.txt https://sourceforge.net/p/contools/contools/ci/master/tree/changelog.txt

SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis. SAGA is programmed in the object oriented C++ language and supports the implementation of new functions with a very effective Application Programming Interface (API). Functions are organised as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting environments (shell scripts, Python, R, ...). Please provide the following reference in your work if you are using SAGA: Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L., Wehberg, J., Wichmann, V., and Boehner, J. (2015): System for Automated Geoscientific Analyses (SAGA) v. 2.1.4. Geosci. Model Dev., 8, 1991-2007, https://doi.org/10.5194/gmd-8-1991-2015. For more information visit the project homepage and the wiki.

This project\'s goal is to replace and extend Excel spreadsheets used in creating remote control upgrades for UEI remotes with a Java equivelent. More information on the UEI remote upgrade interface can be found at http://www.hifi-remote.com/jp1

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open source Modified BSD (3-clause) license. Generalized linear models with support for all of the one-parameter exponential family distributions. Markov switching models (MSAR), also known as Hidden Markov Models (HMM). Vector autoregressive models, VAR and structural VAR. Vector error correction model, VECM. Robust linear models with support for several M-estimators. statsmodels supports specifying models using R-style formulas and pandas DataFrames.

Android, Symbian UIQ 3.0 and Symbian Series 60 Edition 5 open-source software, tools, libraries and themes. Most notable the FX-602P / FX-603P Simulator and the HP-45 Emulator are hosted here.

The high performance open source package for statistical data analysis Criterial is an add-in for all desktop versions of the LibreOffice Calc spreadsheets on any 64bit operating systems (UNIX, Linux, Windows). The combination of the unsurpassed convenience of spreadsheets as frontend and the maximum speed of the C programming language as backend. Contains user experience and the best ideas of projects AtteStat and StatAnt. Completely free. No donation required. Criterial comes with absolutely no warranty.

The continuous medial representation is a method for object representation and shape analysis. Hosted on Sourceforge are the source code for routines that fit medial models to anatomical objects.

C3D is a command-line tool for converting 3D images between common file formats. The tool also includes a growing list of commands for image manipulation, such as thresholding and resampling.

Virtual Satellite is a DLR open source software for model based systems engineering MBSE. One of the major features of Virtual Satellite is the modular data model, that can be easily customized to your personal needs. Today, there are already various different versions: - Virtual Satellite 4 - Core is the entry point to start developing and the basis for all other versions - Virtual Satellite 4 - CEF is a specialized version for the use in our Concurrent Engineering Facility - Virtual Satellite 4 - FDIR is a research version for Failure Detection, Isolation and Recovery - Virtual Satellite 4 - DEV IDE is a spezial Eclipse IDE for easy and fast VIrtual Satellite development. This project contains the deployed artefacts from the Virtual Satellite Eco-System. Donwnloads for Virtual Satellite 4 Core are also provided. The artefacts contain p2 builds for: - Daily development builds - Regular integration builds - Specific release builds

This project is a quest for conscious artificial intelligence. A number of prototypes will be developed as the project progresses. This project has 2 subprojects: Object Pascal based CAI NEURAL API - https://github.com/joaopauloschuler/neural-api Python based K-CAI NEURAL API - https://github.com/joaopauloschuler/k-neural-api A video from the first prototype has been made: http://www.youtube.com/watch?v=qH-IQgYy9zg Above video shows a popperian agent collecting mining ore from 3 mining sites and bringing to the base. At the time the agent is born, it doesn't know how to walk nor it knows that it feels pleasure by mining. He has tact only (blind agent). The video shows learning, planning, executing and plan optimization.

This project hosts the KiCad AppImages built using pkg2appimage. Please visit https://github.com/CyberCircuits/kicad-appimage for details.