Python Statistics Software

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

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  • 1
    This project hosts tools used for analysis of Gaussian Mixture Distributions (GMDs) which are used for statistical signal processing. The tools are libraries for implementing GMD operations and programs used to analyze properties of GMDs.
    Downloads: 0 This Week
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  • 2
    A small simulator for Mendelian genetics, genetic drift, natural selection and random mutations, built on matplotlib and wxpython. A graph will be generated that traces the distribution of genotypes at successive generations.
    Downloads: 0 This Week
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  • 3
    This project examines techniques to model three-dimensional rigid body motion using the geometric algebra of Dual Quaternions and how such models compare to more traditional models when used in underconstrained filtering applications.
    Downloads: 0 This Week
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  • 4

    HMMLab

    A Hidden Markov Model editor with support to HTK

    HMMLab is a Hidden Markov Model editor oriented on HMMs for speach recognition. It can create, edit, train and visualize HMMs. HMMLab supports loading/saving HMMs from/to HTK files.
    Downloads: 0 This Week
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  • 5
    This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
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  • 6
    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.
    Downloads: 0 This Week
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  • 7
    MRA

    MRA

    A general recommender system with basic models and MRA

    Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide controllable adjustment range, which thereby makes it possible to provide optional modes of recommendation aiming different kinds of users.
    Downloads: 0 This Week
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  • 8

    Noisy Channel Simulator

    Demonstrate errors in transmission of a file over a noisy channel.

    This program was written to dimonstrate errors in transmission for a presentation on Claude Shannon's Noisy Channel Coding Theorem. It takes an input file, the probability of a bit being flipped, and, if specified, the size of the header of the file. The program was intended to take monochrome bitmap files as input, so that each bit refers to a pixel in the image and thus, it would be easy to see errors in the output file, as some of the pixels would be flipped; however, it will work on any input file.
    Downloads: 0 This Week
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  • 9
    PaCal
    ProbAbilistic CALculator - a package for computing with probability distributions
    Downloads: 0 This Week
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  • 10
    PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
    Downloads: 0 This Week
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  • 11
    Please participate in the SURVEY on rgedit's future: https://www.surveymonkey.com/s/VNMMJMJ your answers are much appreciated! Gedit (Gnome editor, www.gedit.org) plug-in allowing it to become an easy-to-use and yet light-weight IDE for the statistical programming environment, R (www.r-project.org).
    Downloads: 0 This Week
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  • 12
    SalStat is a small application for statistical analysis emphasising the sciences and social sciences (particularly Psychology). The project is designed around the user interface which has been designed to be simple to use. Think SPSS, but better!
    Downloads: 0 This Week
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  • 13
    Software for speech research. It includes programs and libraries for signal processing, along with general purpose scientific libraries. Most of the code is in Python, with C/C++ supporting code. Also, contains code releases corresponding to publishe
    Downloads: 0 This Week
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  • 14
    TAVIA

    TAVIA

    Open statistics and scientific graphing

    TAVIA is a desktop application for structured data analysis, visualization, reporting, and reproducible research workflows. It combines spreadsheet-style data handling with statistical tools, publication-ready graphs, confidence intervals, project files, encrypted storage, audit trails, workflow automation, and extensible plugins. The application includes CSV, TSV, XLSX, and SQLite import and export, customizable chart styles, confidence bands, error bars, report generation, generated analysis scripts, parameter sweeps, and a documented plugin API with a starter template. TAVIA 1.0.0 Beta 1 focuses on reliability, data integrity, installer safety, secure plugin loading, reproducible results, and cross-platform desktop use. It is intended for researchers, analysts, students, and technical users who want a local, transparent alternative to fragmented analysis tools.
    Downloads: 0 This Week
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  • 15
    Travel Market Simulator
    That project aims at studying and comparing typical airline IT methods, for instance RM-related algorithms. It works from a Unix/Linux/Mac command-line, and exposes basic APIs. It is being developed in C++, with Python wrappers for some components.
    Downloads: 0 This Week
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  • 16
    VAERity

    VAERity

    Uncovering truth in data

    VAERity is a free, open source tool to graphically explore the VAERS data set. It aims to eventually expand in scope to allow fast querying of arbitrary large datasets. It utilizes vaex and pandas as required to provide a balance of speed and query flexibility.
    Downloads: 0 This Week
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  • 17
    allink

    allink

    Software for data analysis, image processing, simulations, solver.

    Collection of utilities based on two basics classes: Matematica and VarData. Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing... VarData) manipulate a structure of points connected by links. Addraw) openGL engine. ElPoly) analyze mechanical properties of polymer and membrane like structures. Addyn) perform molecular dynamics and Monte Carlo simulations and has a solver for 4th oder PDE. Avvis) perform all the operation of Matematica on different sets of data visualized on a Qt graphical interface. DrImage) image manipulation on the Matematica filters. The program is intended to use as less as possible external libs (optional: openGL, gsl, fftw, cgal, png, tiff, boost, MPI, Qt...).
    Downloads: 0 This Week
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  • 18

    dAnalytics

    dAnalytics is a software made for education in discriminant analysis.

    dAnalytics is a software made for educational purposes to work with discriminant analysis. It's a very simple calculator over bi-dimensional populations. You input a file with two columns (one for each variable) and tryout different separations of populations (blue and red) and analyze it's efficiency by observing the eigen value result for the attempted separation. It also gives many information about the statistics both of the input and the separated populations. There's a documentation folder in the software which brings a quick start guide for this software.
    Downloads: 0 This Week
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  • 19

    fpyprog

    Program for statistic and visual analysis

    Example of program for statistic and visual analysis on Python
    Downloads: 0 This Week
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  • 20
    Python module to track the overall median of a stream of values "on-line" in reasonably efficient fashion.
    Downloads: 0 This Week
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  • 21
    Classic Texas Hold'Em Poker game in python.
    Downloads: 0 This Week
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  • 22

    portas

    Pequeno script em Python para provar o problema de Monty Hall

    O jogo consiste no seguinte: Monty Hall (o apresentador) apresentava 3 portas aos concorrentes, sabendo que atrás de uma delas está um carro (prémio bom) e que as outras têm prêmios de pouco valor. Na 1ª etapa o concorrente escolhe uma porta (que ainda não é aberta); De seguida Monty abre uma das outras duas portas que o concorrente não escolheu, sabendo à partida que o carro não se encontra aí; Agora com duas portas apenas para escolher — pois uma delas já se viu, na 2ª etapa, que não tinha o prêmio — e sabendo que o carro está atrás de uma delas, o concorrente tem que se decidir se permanece com a porta que escolheu no início do jogo e abre-a ou se muda para a outra porta que ainda está fechada para então a abrir. Qual é a estratégia mais lógica? Ficar com a porta escolhida inicialmente ou mudar de porta? Com qual das duas portas ainda fechadas o concorrente tem mais probabilidades de ganhar? Por quê?
    Downloads: 0 This Week
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  • 23
    psignifit is a toolbox to fit psychometric functions and test hypotheses on psychometric data. This is version 3 which will now predominantly support python.
    Downloads: 0 This Week
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  • 24
    PYthon RELiabilitY A python package implementing state-of-the-art numerical methods arising in the field of uncertainty quantification : from statistical inference to uncertainty propagation for various purposes.
    Downloads: 0 This Week
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  • 25
    Implementation in Python of some of the statistical methods provided by "asurv", the survival analysis software.
    Downloads: 0 This Week
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