Open Source Data Visualization Software - Page 86

Data Visualization Software

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  • 1
    Architecture for POV-Ray. A set of macros for easy creation of walls, windows, doors, railings and other things useful for building creation.
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  • 2
    PROMPT is a system for retrieval, analysis, mapping and comparison of proteins. It allows easy mapping of different types of sequence IDs, data retrieval and integration, a multitude of analysis and comparison algorithms and a full-blown easy to use GUI.
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  • 3
    A set of library functions to generate pPostScript plots to file or printer. Several levels of user interface, highest level includes virtual windows, autoscale etc. Supported graphs are linear, logarithmic and polar plots. Lower levels include standard
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  • 4

    PVideo

    Compare Videos Side By Side

    Compare several video in separate view ports, using synchronized playback. This project is licensed under the GPLv3.0
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  • 5

    PX3D

    Programmable X3D is a X3D implementation for .NET Framework

    Programmable X3D is a open source software library providing application programming interface for software developments on .NET Framework.
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  • 6
    We moved to https://github.com/sueswe/pzgtools Perl-Programs to extract information (and visualize them with gnuplot) from data-files from the PZG Particle Sampler from "rr-elektronik" (see http://www.rr-elektronik.de). Linux/KDE-version, GUI written in QT or Gambas. Win32-ver: pzg-tools.npage.de
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  • 7
    Generic packet visualization tool for generating flow diagrams from formatted logs. Can be used for cache coherency diagrams, software interaction diagrams or to plot network communications.
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  • 8
    Paean is a tool to demonstrate in real-time the effect of various error-correcting codes on data transmitted via several channel models.
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  • 9
    Simple static viewer of abnormal read pairs in second-generation alignment data.
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  • 10
    Reimplementación de un visualizador web de panorámicas desarrollado para el recorrido virtual interactivo de la localidad arqueológica Paso Mayor (valle inferior del río Sauce Grande, Buenos Aires). Este contenido educativo estaba destinado a alumnos y docentes de distintos niveles de educación formal y al público general y fue inicialmente diseñado para incorporarse al Programa Conectar Igualdad. Página web de la versión original: http://paisajesarqueologicos.uns.edu.ar
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  • 11
    Panthera is a C++ framework for interactive visualization, manipulation, and editing of volume data. Applications developed on top of Panthera can utilize both desktop and immersive user interface devices, such as position trackers and haptic displays.
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  • 12
    The Parallel Compositing library enables developers to write scalable 3D graphics applications. The library does sort-last compositing, and works on both clusters and SMP machines. The API aims to be the MPI of parallel compositing.
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  • 13
    Parallel GLUT is a parallel implementation of the OpenGL utility toolkit (GLUT) library. It adds a minimal set of constraints and extensions to the GLUT API, allowing the usage of multiple GPU's for multiple display devices and/or increased performance.
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  • 14
    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.
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  • 15
    Parallel implementation of watershed4d on the processor Cell
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  • 16
    ParallelAccelerator.jl

    ParallelAccelerator.jl

    ParallelAccelerator package, part of the High Performance Scripting

    ParallelAccelerator is a Julia package for speeding up compute-intensive Julia programs. In particular, Julia code that makes heavy use of high-level array operations is a good candidate for speeding up with ParallelAccelerator. With the @acc macro that ParallelAccelerator provides, users may specify parts of a program to accelerate. ParallelAccelerator compiles these parts of the program to fast native code. It automatically eliminates overheads such as array bounds checking when it is safe to do so. It also parallelizes and vectorizes many data-parallel operations. ParallelAccelerator is part of the High Performance Scripting (HPS) project at Intel Labs.
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  • 17
    ParallelStencil.jl

    ParallelStencil.jl

    Package for writing high-level code for parallel stencil computations

    ParallelStencil empowers domain scientists to write architecture-agnostic high-level code for parallel high-performance stencil computations on GPUs and CPUs. Performance similar to CUDA C / HIP can be achieved, which is typically a large improvement over the performance reached when using only CUDA.jl or AMDGPU.jl GPU Array programming. For example, a 2-D shallow ice solver presented at JuliaCon 2020 [1] achieved a nearly 20 times better performance than a corresponding GPU Array programming implementation; in absolute terms, it reached 70% of the theoretical upper performance bound of the used Nvidia P100 GPU, as defined by the effective throughput metric, T_eff. ParallelStencil relies on the native kernel programming capabilities of CUDA.jl and AMDGPU.jl and on Base.Threads for high-performance computations on GPUs and CPUs, respectively. It is seamlessly interoperable with ImplicitGlobalGrid.jl, which renders the distributed parallelization of stencil-based GPU and CPU apps.
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  • 18
    Parameters.jl

    Parameters.jl

    Types w/ default field values, keyword constructors, (un-)pack macros

    This is a package I use to handle numerical-model parameters, thus the name. However, it should be useful otherwise too.
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  • 19
    Parbat3D is a satellite imagery visualization and analysis tool for use in remote sensing.
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  • 20
    Parquet.jl

    Parquet.jl

    Julia implementation of Parquet columnar file format reader

    A parquet file or dataset can be loaded using the read_parquet function. A parquet dataset is a directory with multiple parquet files, each of which is a partition belonging to the dataset.
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  • 21
    Parser - синтаксический анализатор. Plotter - графопостроитель.
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  • 22
    Parsers.jl

    Parsers.jl

    fast parsing machinery for basic types in Julia

    A collection of type parsers and utilities for Julia. Installation: at the Julia REPL, import Pkg; Pkg.add("Parsers") Parsers is maintained collectively by the JuliaData collaborators. Responsiveness to pull requests and issues can vary, depending on the availability of key collaborators.
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  • 23
    Simulate spraying up to 60.000 particles in realtime.
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  • 24
    PMViewer is a Visualization tool for Astrophysical N-Body and Hydro Simulations. GADGET-2 data support.With/Without periodical boundary conditions.Snapshot of scene in PPM and GIF formats.Flying in 3D space. Active/Passive Stereo 3D support.
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  • 25
    PartitionedArrays.jl

    PartitionedArrays.jl

    Vectors and sparse matrices partitioned into pieces

    This package provides distributed (a.k.a. partitioned) vectors and sparse matrices in Julia. See the documentation for further details.
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