Search Results for "data visualization"
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Showing 26 open source projects for "data visualization"
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PyMC
Bayesian Modeling and Probabilistic Programming in Python
PyMC is a Python library for probabilistic programming focused on Bayesian statistical modeling and machine learning. Built on top of computational tools like Aesara and NumPy, PyMC allows users to define models using intuitive syntax and perform inference using MCMC, variational inference, and other advanced algorithms. It’s widely used in scientific research, data science, and decision modeling. -
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LabPlot
Data Visualization and Analysis
LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone. -
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seaborn
Statistical data visualization in Python
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn helps you explore and understand your data. Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots. -
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ShinyCardinal
Mass spectrometry imaging data analysis software tool
ShinyCardinal is an open-source and vendor-neutral software that covers all steps in MSI data analysis. It leverages the R package Cardinal to enhance its functionalities by introducing several additional important features, such as the removal of background noises and matrix peaks, deisotoping, absolute quantification, network analysis, and metabolite identification. ShinyCardinal is built as a desktop application with a conveniently designed graphic user interface to provide users a... -
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OmicsSuite
OmicsSuite: a suite for multi-omics analysis and visualization.
OmicsSuite (https://github.com/OmicsSuite/, https://omicssuite.github.io), original name BioSciTools, a desktop program developed based on Java 11, aims to make new exploration and contribution to the development of bioinformatics, and realize data analysis and visualization in the fields of sequence analysis, multimomics (transcriptomics, genomics, protein omics, metabonomics, single cell), microbiology, clinical, etc. The program inherits the excellent interactive components, perfect analysis function and beautiful operation interface of HiPlot (https://hiplot.cn), which I developed based VUE.js and Node.js, etc. -
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SGraph
Create charts by retrieving data from Stata on-the-fly
SGraph is a web application that interacts with Stata for creating graphs. It is a demo application that demostrates how to exploit SWire for creating web applications that communicate with Stata. SGraph is an open source project and you can download the code from the project web site web site or try the app on-line here: http://sgraph-with-swire.sourceforge.net/ The source project is hosted in GitHub: https://github.com/lomagno/sgraph -
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modnlp-plugins
External plugins for modnlp/teccli
This is a general project for modnlp/teccli plugins, with focus on text visualizaton. -
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R-package to perform analysis of landmark based geometric morphometrics. Installation instructions: https://github.com/zarquon42b/Morpho/blob/master/README.md
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AlphaPlot
Interactive scientific graphing and data analysis software.
Alpha Plot can generate different types of 2D and 3D plots (such as line, scatter, bar, pie, and surface plots) from data that is either imported from ASCII files, entered by hand, or calculated using formulas. The data is held in spreadsheets which are referred to as tables with column-based data (typically X and Y values for 2D plots) or matrices (for 3D plots). The spreadsheets as well as graphs and note windows are gathered in a project and can be organized using folders. The built-in... -
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PANDA-view
An easy-to-use tool for data visualization and statistical analysis
PANDA-view, an affiliated tool of PANDA, includes the methods for differentially expressed protein detection, missing value imputation and the parametric and non-parametric statistical tests. Meanwhile, the most commonly-used data visualization methods are also implemented in PANDA-view. -
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Vytics Community
Query and plot data in seconds (Excel, CSV, SQL and NoSQL DBMS)
Vytics lets you query and plot csv data, Excel files, databases (SQL and NoSQL). You can also organize your queries, data and graphs into reports and projects. -
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Charting tools, backtesting tools, and data visualization tools for the most popular cryptocurrencies.
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MandelbrotExplorer
A program to calculate and represent the Mandelbrot set
This project is a C++ program to calculate and represent graphically the Mandelbrot fractal set, and/or the corresponding Julia sets, according to the seed Z0 given by the user as input. The user disposes of a graphical interface to control the program and modify conveniently some parameters, like the XY-scales, the XY map area, the Julia seed for the complex series iteration of Z(n+1)=Z(n)^2+a, being Z(0)=(X0,Y0) the seed, and "a in XY" the points to be calculated. The user can... -
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All future developments will be implemented in the new MATLAB toolbox SciXMiner, please visit https://sourceforge.net/projects/scixminer/ to download the newest version. The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
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Corbata
CORe microBiome Analysis Tools
Corbata is a set of statistical tools that can be used to analyze the core microbiome across a set of samples. -
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slycat
Web-based data science analysis and visualization platform.
This is Slycat - a web-based data science analysis and visualization platform, created at Sandia National Laboratories. The goal of the Slycat project is to develop processes, tools and techniques to support data science, particularly analysis of large, high-dimensional data. -
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LQFB-analyser
A lqfb delegation analyser. A 3d directed weighted multi graph.
A rich client to analyse data from a liquid-feedback (http://liquidfeedback.org/) instance, for now it's a 3d graph explorer to inspect the delegations. It's an application based on the eclipse platform (indigo). To be precise its a directed weighted multi graph browser in 3d. Find out more in the wiki https://sourceforge.net/p/lqfbanalyser/wiki/Home/ . Generated reports https://sourceforge.net/p/lqfbanalyser/wiki/generated%20lqfb%20reports/ . -
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imDEV
Tools for multivariate data visualization, exploration and analysis.
You may also like some newer work: http://createdatasol.com/ Project imDEV is an application of RExcel, which seamlessly integrates Excel and R for tasks focused on multivariate data visualization, exploration, and analysis. Interactive modules for dimensional reduction (imPCA), prediction (imPLS), feature selection, analysis of correlation (imCorrelations) and generation of networked structures (imGraph) provide an integrated environment for systems level analysis of multivariate data. -
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This material enables IBM SPSS Statistics users to run code written in the R language inside Statistics. Additional free items for R in Statistics and other materials are available from the SPSS Community at www.ibm.com/developerworks/spssdevcentral
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The final build of this software now is distributed in R, embedded in "RedeR': an R/Bioconductor package for hierarchical and nested network analysis... more about RedeR: http://bioconductor.org/packages/2.9/bioc/html/RedeR.html
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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.
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An application built onto the Open Table Explorer engine for the acquisition and analysis of home energy consumption and solar energy production.Moved to github as Open Table Explorer
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MooGraph is an utility to produce interactive dynamical graphs from statistical data. Deliberately inspired to GapMinder, it represents the evolution of multivariate data in time by means of coloured bubbles of variable sizes on an (x,y) plot.
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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.
