Open Source Mac Data Visualization Software - Page 65

Data Visualization Software for Mac

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  • 1
    TAXI enables you to edit informations-dense XML documents, by providing an extremely customisable graphical representation of the content. With a simple stylesheet, you can create the most appropriate visualisation for your data.
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  • 2
    TM4 is a suite of applications for managing and analyzing microarray data. TM4 provides data storage and tracking, image analysis, normalization, data filtering, clustering and statistical analysis capabilities. Includes MADAM, Spotfinder, MIDAS, and MeV.
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  • 3
    TOAST UI Chart

    TOAST UI Chart

    Beautiful chart for data visualization

    The Chart makes your data pop, and it is easy to use. It provides you with multiple charts like Bar, Column, Line, and more. The functionality of TOAST UI Chart is available when using the Plain JavaScript, React, Vue Component. TOAST UI Chart makes your data pop and presents it in a manner that is easy to understand. Furthermore, it provides a wide range of theme options for customizing the charts to be suitable for all of your services. Chart components like the title, axes, legends, tooltips, plots, series, and more can be customized through the options. Add different options and animations according to the charts' sizes by using the responsive option. Make the data presented in the Line, Area, and Treemap Charts zoomable with the zoomable option. View and manage new data as they are added realtime with the addData API and the options.series.shift option.
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  • 4
    Metropolis is a visualization tool for TRANSIMS traffic simulation output. It specializes in viewing the dynamic outputs of the micro-simulator, such as vehicle motion and other time-varying data.
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  • 5
    The TRANSIMS Studio application is an integrated development environment for the TRansportation ANalysis and SIMulation System (TRANSIMS). Components include a run time environment to execute TRANSIMS in parallel, as well as a full featured GUI.
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  • 6
    TSNE-CUDA

    TSNE-CUDA

    GPU Accelerated t-SNE for CUDA with Python bindings

    This repo is an optimized CUDA version of FIt-SNE algorithm with associated python modules. We find that our implementation of t-SNE can be up to 1200x faster than Sklearn, or up to 50x faster than Multicore-TSNE when used with the right GPU. You can install binaries with anaconda for CUDA version 10.1 and 10.2 using conda install tsnecuda -c conda-forge. Tsnecuda supports CUDA versions 9.0 and later through source installation, check out the wiki for up to date installation instructions. Time taken compared to other state of the art algorithms on synthetic datasets with 50 dimensions and four clusters for varying numbers of points. Note the log scale on both the points and time axis, and that the scale of the x-axis is in thousands of points (thus, the values on the x-axis range from 1K to 10M points. Dashed lines on SkLearn, BH-TSNE, and MULTICORE-4 represent projected times. Projected scaling assumes an O(nlog(n)) implementation.
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  • 7
    TableView.jl

    TableView.jl

    A Tables.jl compatible table viewer based on ag-grid

    TableView.jl is an ag-grid-based table viewer built on WebIO.jl. It can display arbitrarily large tables by lazy-loading additional data when scrolling (this is the default for datasets with more than 10k rows).
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  • 8
    Tables.jl

    Tables.jl

    An interface for tables in Julia

    The Tables.jl package provides simple, yet powerful interface functions for working with all kinds of tabular data.
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  • 9
    TacitPixel is a scalable C++ framework for building application prototypes for interactive collaborative VR/AR applications. It provides a number of features that make prototyping fast and portable. TacitPixel is the successor of the TAP and Twisted Pair engines.
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  • 10
    This is a tool to organize and present complex, interrelated ideas visually in different ways. It aims to be many tools all at the same time -- outliner, mindmapping and concept mapping tool, PIM, project manager and tracker, literate programming editor,
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  • 11
    Tao3D

    Tao3D

    Tao3D is a programming language for real-time interactive 3D

    Tao3D is a programming language for real-time interactive 3D. It lets you easily create dynamic, interactive, data-rich presentations, small applications, user interface concepts, and more.
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  • 12
    Taurus

    Taurus

    A python based User Interface library.

    The Taurus Project has *moved* to: https://github.com/taurus-org/taurus This SourceForge page is *outdated* and kept for historical reference only. Taurus is a python framework for control and data acquisition CLIs and GUIs in scientific/industrial environments. It supports multiple control systems or data sources: Tango, EPICS, ... New control system libraries and data sources can be integrated through plugins.
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  • 13
    TaylorIntegration.jl

    TaylorIntegration.jl

    ODE integration using Taylor's method, and more, in Julia

    ODE integration using Taylor's method in Julia.
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  • 14
    TaylorSeries.jl

    TaylorSeries.jl

    Taylor polynomial expansions in one and several independent variables

    A Julia package for Taylor polynomial expansions in one or more independent variables.
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  • 15
    TeNeM (Telecommunications Network Model) is a PostgreSQL schema with PL/pgSQL functions and triggers intended to make with a fiber optic network management. It is also a GIS JUMP plug-in to edit and visualize the data. PostGIS is used to extend Postgre.
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  • 16

    TeachingDemos

    Bioinformatics related demos and tutorials using the R programming lan

    Bioinformatics related demos and tutorials using the R programming language for large biological data. Licence: Creative Commons Attribution-NonCommercial 4.0 International License
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  • 17
    This add-on for Tecplot 360 and Tecplot Focus adds key frame animation capability, including the ability to simultaneously animate time and streamtraces. Note that an improved version of this add-on is now included in the Tecplot distribution.
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  • 18
    Temporal.jl

    Temporal.jl

    Time series implementation for the Julia language

    This package provides a flexible & efficient time series class, TS, for the Julia programming language. While still early in development, the overarching goal is for the class to be able to slice & dice data with the rapid prototyping speed of R's xts and Python's pandas packages, while retaining the performance one expects from Julia. See the documentation for a more in-depth look at the package and some of the pain points it may solve when doing technical research with time series data.
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  • 19
    TensorBoardLogger.jl

    TensorBoardLogger.jl

    Easy peasy logging to TensorBoard with Julia

    TensorBoardLogger.jl is a native library for logging arbitrary data to Tensorboard, extending Julia's standard Logging framework. It can also be used to deserialize TensoBoard's .proto files. The fundamental type defined in this package is a TBLogger, which behaves like other standard loggers in Julia such as ConsoleLogger or TextLogger. You can create one by passing it the path to the folder where you want to store the data. You can also pass an optional second argument to specify the behaviour in case there already exists a document at the given path.
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  • 20
    TensorBoardX

    TensorBoardX

    tensorboard for pytorch (and chainer, mxnet, numpy, etc.)

    The SummaryWriter class provides a high-level API to create an event file in a given directory and add summaries and events to it. The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training. TensorboardX now supports logging directly to Comet. Comet is a free cloud based solution that allows you to automatically track, compare and explain your experiments. It adds a lot of functionality on top of tensorboard such as dataset management, diffing experiments, seeing the code that generated the results and more. Create special chart by collecting charts tags in ‘scalars’. Note that this function can only be called once for each SummaryWriter() object. Because it only provides metadata to tensorboard, the function can be called before or after the training loop.
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  • 21
    TensorCast.jl

    TensorCast.jl

    It slices, it dices, it splices

    This package lets you work with multi-dimensional arrays in index notation, by defining a few macros which translate this to broadcasting, permuting, and reducing operations.
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  • 22
    TensorFlow.jl

    TensorFlow.jl

    A Julia wrapper for TensorFlow

    A wrapper around TensorFlow, a popular open-source machine learning framework from Google.
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  • 23
    Term.jl

    Term.jl

    Julia library for stylized terminal output

    Julia library for stylized terminal output.
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  • 24
    TerminalMenus.jl

    TerminalMenus.jl

    Simple interactive menus for the terminal (Now ships with Julia!)

    This package has been merged into the Julia standard library. As such, you probably just want to using REPL.TerminalMenus and skip the Installation instructions. The RadioMenu allows the user to select one option from the list. The request function displays the interactive menu and returns the index of the selected choice. If a user presses 'q' or ctrl-c, request will return a -1.
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  • 25
    TerminalUserInterfaces.jl

    TerminalUserInterfaces.jl

    Terminal User Interfaces in Julia

    Create TerminalUserInterfaces in Julia.
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