Open Source Python Scientific/Engineering Software - Page 37

Python Scientific/Engineering Software

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Browse free open source Python Scientific/Engineering Software and projects below. Use the toggles on the left to filter open source Python Scientific/Engineering Software by OS, license, language, programming language, and project status.

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  • 1
    DSS Student Toolbox
    DSS student toolbox is an interface created over the Direct Sequential Simulation algorithm created by A. Soares, 2001. It allows you to launch this simulation method using simple tools from a GUI. NOTE: this software development is deprecated. You can perform the same operations in our newest software GEOMS2 (beta release). You can download it here: https://sourceforge.net/projects/geoms2/
    Downloads: 0 This Week
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  • 2
    Dairy Herder is a web application that allows dairies to track lineage and production records for their cows. A main goal is to have a pedigree generated for any given animal with the click of a button.
    Downloads: 0 This Week
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  • 3
    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)
    Downloads: 0 This Week
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  • 4
    A Calculator for Geometry purposes, has commons functions.
    Downloads: 0 This Week
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  • 5
    A data display and analysis toolkit that will provide radio astronomers with a versatile mechanism for viewing and interpreting their observation data.
    Downloads: 0 This Week
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  • 6
    Software written in Python to take oscilloscope data for a data transmit channel and a data clock as inputs, and output an eye diagram. The eye diagram helps evaluate the quality of the transmit data.
    Downloads: 0 This Week
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  • 7
    Data file transpose script in python.
    Downloads: 0 This Week
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  • 8

    Data analysis for ADEXL

    Create Excel reports from results of Cadence ADE-XL simulations

    *** Required files from "Excel COM API for Python" project *** The scripts allows post processing of data saved in CSV format from "Detail - Transposed" view of ADE-XL
    Downloads: 0 This Week
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  • 9
    DeDAY

    DeDAY

    MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.

    DeDAY (Demography Data Analyses) is a tool of analyzing demography data. It supports Gompertz, Weibull and Logistic distributions. DeDay also supports mixed mortality models based on these distribution such as the Gompertz-Makeham distribution. Distributions such as Gompertz describes only age-dependent mortality, which increases over time. Mixed mortality models, such as in Gompertz-Makeham distribution, consider a more general case where mortality is consist of both age-dependent and in-dependent mortality. Mixed models partition mortality into exogenous and endogenous components, so that the intrinsic survivorship can be estimated without the interference from extrinsic noise. DeDAY supports both interval-censored data and exact event-time data. Using MLE (Maximum Likelihood Estimate), DeDAY fits statistic model to the data. DeDAY also calculates the variances and the multi-dimensional confidence limits of model parameters. DeDAY is free for academic users.
    Downloads: 0 This Week
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  • 10
    Dedalo

    Dedalo

    dedalo is a 2d cad drawing software written in python3.

    dedalo is a 2d cad drawing software written in python3. It is licensed under the GPLv3. Dedalo features: layers, snaps (endpoint, intersection, midpoint), line, polyline, rectangle, delete, polygon, rectangle, arc, circle, points, text, spline, freehand drawing. Move, scale, rotate, offset, cut, extend, hatch, dimension, copy. English, italian languages SVG read-write. Not all features all fully supported. For more information a user manual is provided(pdf format, italian).
    Downloads: 0 This Week
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  • 11
    DeepXDE

    DeepXDE

    A library for scientific machine learning & physics-informed learning

    DeepXDE is a library for scientific machine learning and physics-informed learning. DeepXDE includes the following algorithms. Physics-informed neural network (PINN). Solving different problems. Solving forward/inverse ordinary/partial differential equations (ODEs/PDEs) [SIAM Rev.] Solving forward/inverse integro-differential equations (IDEs) [SIAM Rev.] fPINN: solving forward/inverse fractional PDEs (fPDEs) [SIAM J. Sci. Comput.] NN-arbitrary polynomial chaos (NN-aPC): solving forward/inverse stochastic PDEs (sPDEs) [J. Comput. Phys.] PINN with hard constraints (hPINN): solving inverse design/topology optimization [SIAM J. Sci. Comput.] Residual-based adaptive sampling [SIAM Rev., arXiv] Gradient-enhanced PINN (gPINN) [Comput. Methods Appl. Mech. Eng.] PINN with multi-scale Fourier features [Comput. Methods Appl. Mech. Eng.]
    Downloads: 0 This Week
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  • 12
    Dent-Inn es una aplicación de gestión para clínicas dentales. Almacena los datos de los pacientes, dentigramas, citas y tratamientos, presupuestos, radiografías, informes, etc.
    Downloads: 0 This Week
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  • 13
    DesktopTools is a collection of small utillities which help to make your daily life easier. Since the tools themself are rather small (projectwise) I keep them not as individual projects, but have them under this collective name.
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  • 14
    LA HERRAMIENTA CASE DEVSON-UD ES UN APLICATIVO CREADO COMO PRODUCTO FINAL DEL TRABAJO DE GRADO "HERRAMIENTA CASE PARA LA GENERACIÓN DE CÓDIGO JSON" DE LA UNIVERSIDAD DISTRITAL FRANCISCO JOSÉ DE CALDAS. SUS OBJETIVOS PRINCIPALES SON:PERMITIR MODELAR ESTRUCTURAS DE DATOS, GENERAR CÓDIGO JSON Y ADAPTARSE A ALGUNOS MOTORES EXISTENTES DE BASES DE DATOS TANTO RELACIONALES COMO NOSQL.
    Downloads: 0 This Week
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  • 15
    Design for Six Sigma Toolbox - based on Scientific Python and Symbolic Python
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  • 16

    DiagSim

    Diagnostics simulation for particle accelerators

    DiagSim is a collection of Python modules for simulating beam diagnostics in particle accelerators, at the moment only cavity BPMs, with other types of BPMs and other diagnostics to follow. Or so we think. Anyway, we use beam data exported from beam trackers, trace the signals through the diagnostics and processing, so that they can be processed as real data, and the input and measured beam parameters can be compared.
    Downloads: 0 This Week
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  • 17
    Diffusion of Innovations Simulation
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  • 18
    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.
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  • 20
    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.
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  • 21

    Discursive Dilemma

    Optimal Decision Rules for the Discursive Dilemma

    Accompanying software for the paper "Optimal Decision Rules for the Discursive Dilemma", by A. Alabert, M. Farré and R. Montes (https://arxiv.org/abs/2210.13100). Computes a ranking of the best decision rules according to a quantitative criterion based on the minimisation of the combined probabilities of false positives and false negatives
    Downloads: 0 This Week
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  • 22
    Disease Gene Profiler (DGP) comprises of a set of (bioinformatics) tools that can be used to identify the genes underlying susceptibility to common multifactorial diseases (such as diabetes, asthma and cancer) using freely available datasources.
    Downloads: 0 This Week
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  • 23
    Disloki is a modified version of Loki (loki.homeunix.net) which works as a Boinc application. The project also contains support programs to create and maintain a Loki based boinc project.
    Downloads: 0 This Week
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  • 24

    Distant Speech Recognition

    Beamforming and Speech Recognition Toolkit

    BTK contains C++ and Python libraries that implement speech processing and microphone array techniques such as speech feature extraction, speech enhancement, speaker tracking, beamforming, dereverberation and echo cancellation algorithms. The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods. These toolkits are meant for facilitating research and development of automatic distant speech recognition.
    Downloads: 0 This Week
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  • 25
    A project to distributed phylogenies into a MPI Cluster.
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