Open Source Mac Data Visualization Software - Page 27

Data Visualization Software for Mac

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  • 1
    CBinding.jl

    CBinding.jl

    Automatic C interfacing for Julia

    Use CBinding.jl to automatically create C library bindings with Julia at runtime. In order to support the fully automatic conversion and avoid name collisions, the names of C types or functions are mangled a bit to work in Julia. Therefore everything generated by CBinding.jl can be accessed with the c"..." string macro to indicate that it lives in C-land. As an example, the function func above is available in Julia as c"func". It is possible to store the generated bindings to more user-friendly names (this can sometimes be automated, see the j option). Placing each C declaration in its own macro helps when doing this manually.
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  • 2
    A Java program to enable users to comprehend the "Contraction and Convergence" model for reduction in carbon emissions as proposed by the Global Commons Institute. Intended primarily as a demo for government delegates at UN conferences
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  • 3
    CCDB Support
    Support software for CRBS/NCMIR CCDB project
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  • 4
    CCVisualizer is a multiplatform Closed Caption or Subtitle visualizer for movies or films (es Youtube, Megavideo). By downloading the movie's SRT file, it is possible to visualize it, to pause and to manually align video and text.
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  • 5
    CEGA
    CEGA is a highly extendable layout plugin for Cytoscape based on an Evolutionary Algorithm. In contrast to other layout algorithms, CEGA lets users decide which features are important for the visualization of their graphs.
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  • 6
    "cif2tribes" is a console-based tool for converting integrated circuit layouts into maps usable in the game Tribes 2, as a 3D visualization aid. The project code is modular enough to be easily extended to different game engines and input file formats.
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  • 7
    CIG-P

    CIG-P

    CIG-P is a simple yet flexible data visualization tool

    CIG-P is a higher order visualization tool for AP-MS which generates intuitive circular diagrams for visually appealing final representation of AP-MS data. CIG-P can be used to compare a) different AP-MS datasets of various baits or b) a particular bait under various perturbations (lenticular section CIG-P). The output of CIG-P is a simple and intuitively easy to grasp visualization of a complex dataset. Publication: CIG-P: Cicular Interaction Graph for Proteomics http://www.biomedcentral.com/1471-2105/15/344/ Previously known as PIVOT (Protein Interaction Visualization and Observation Tool)
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  • 8
    Graphical editor for the Common Information Model (CIM) built on the Eclipse RCP and with EMF and GMF.
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  • 9
    CLIChart is for quick summarising and visualisation of data, especially from system logs. It extracts summary data from text files, and generates simple charts from tabular data on the command line (CLI). Charts can be displayed in a window or saved.
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  • 10
    CNN Explainer

    CNN Explainer

    Learning Convolutional Neural Networks with Interactive Visualization

    In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data. Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own learnable weights and biases. Let’s break down a CNN into its basic building blocks. A tensor can be thought of as an n-dimensional matrix. In the CNN above, tensors will be 3-dimensional with the exception of the output layer. A neuron can be thought of as a function that takes in multiple inputs and yields a single output. The outputs of neurons are represented above as the red → blue activation maps.
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  • 11
    Conditioners for advanced COLLADA effect profiles. Available as a standalone commandline tool, and as a plugin for COLLADA Refinery.
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  • 12
    COV2HTML

    COV2HTML

    A visualization and analysis tool of Bacterial NGS data for Biologists

    COV2HTML provides an easy and 'in home' web interface for biologists that allows coverage visualization of the NGS alignment needed for the analysis. It combines two essential processes: (i) MAP2COV, a tool that converts the huge NGS mapping or coverage files into light specific coverage files which contains genetic elements informations. (ii) COV2HTML, a visualization interface allowing a real-time analysis of data with selected criteria. Thus this interface offers a visualization of NGS mapping coverage data (DNA-seq, RNA-seq, ChIP-seq and TSS) performed in different prokaryotic organisms (bacteria, viruses...) or different experimental conditions (mutant versus wild type strains or different growth states…) facilitating studies.
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  • 13
    Goal of our project CSX (City Stats X) is to program a generic interface to visualize and present social data about a city. We will present this on the example of the city of Linz in Austria.
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  • 14
    This project shows how to integrate NVIDIA CUDA GPU programming API into ITK (Insight Segmentation and Registration Toolkit) library
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  • 15
    CUDAnative.jl

    CUDAnative.jl

    Julia support for native CUDA programming

    The programming support for NVIDIA GPUs in Julia is provided by the CUDA.jl package. It is built on the CUDA toolkit and aims to be as full-featured and offer the same performance as CUDA C. The toolchain is mature, has been under development since 2014, and can easily be installed on any current version of Julia using the integrated package manager.
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  • 16
    CViT
    CViT - Chromosome Viewing Tool. A collection of Perl scripts that enable quick visualizations of features on linkage groups, psuedochromosomes or cytogenetic maps. Intended for whole-genome views of data but can be used to create images of single chromosomes/linkage groups, contigs, or BACs, or even proteins -- any feature that has a location on a backbone. Handles most standard genetic/genomic coordinate systems. Reads GFF3 data and produces a PNG or SVG image.
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  • 17
    Caesar.jl

    Caesar.jl

    Robust robotic localization and mapping

    A multimodal/non-Gaussian robotic toolkit for localization and mapping -- reducing the barrier of entry for sensor/data fusion tasks, including Simultaneous Localization and Mapping (SLAM). Code changes are currently tracked via Github's integrated Milestone/Issues/PR system.
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  • 18
    Calculus.jl

    Calculus.jl

    Calculus functions in Julia

    The Calculus package provides tools for working with the basic calculus operations of differentiation and integration. You can use the Calculus package to produce approximate derivatives by several forms of finite differencing or to produce exact derivatives using symbolic differentiation. You can also compute definite integrals by different numerical methods.
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  • 19
    CallMesh is an eclipse plugin visualizing call graphs in java projects with the help of the zest toolkit. It allows easy navigation around you classes. Additionally, call graphs can be exported as dot-files as understood by graphvis.
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  • 20
    CamShaft
    Calculation of camshafts - allows to define a camshaft profile on the set trajectory which should provide the given mechanism. The trajectory can be set graphically, co-ordinates or function.
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  • 21

    Canvas-2DGC

    A user-extensible Freemat based 1DGC and GCxGC data analysis software.

    Canvas-2DGC is a user-extensible, Freemat based 1DGC and comprehensive 2DGC (GCxGC) data visualization and processing software. GCxGC-MS data analysis is supported for Agilent GCMS data format. The first goal of this project is to provide a highly intelligent analytical tool for reducing a complex chromatographic data analysis, either 1D or 2D, to just a few simple and intuitive steps. The second goal is to provide a fast and practical way of customizing or extending functionalities by ordinary users through high-level Freemat scripting. Freemat, one of open source Matlab clones, is chosen for this very purpose, because its syntax is most compatible with Matlab and it is lightweight - very suited for ordinary users. Contact xguan@jnxtec.com for support.
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  • 22
    The Cutting Edge CardSorting Solution.
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  • 23
    CartoReso intends to facilitate enterprise computer network mapping.
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  • 24
    Cartocraft is a simple top-down, orthogonal Minecraft map renderer with ambient occlusion and lighting.
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  • 25
    CategoricalArrays.jl

    CategoricalArrays.jl

    Arrays for working with categorical data

    This package provides tools for working with categorical variables, both with unordered (nominal variables) and ordered categories (ordinal variables), optionally with missing values.
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