Open Source Mac Data Visualization Software - Page 29

Data Visualization Software for Mac

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  • 1
    Clang.jl

    Clang.jl

    C binding generator and Julia interface to libclang

    This package provides a Julia language wrapper for libclang: the stable, C-exported interface to the LLVM Clang compiler. The libclang API documentation provides background on the functionality available through libclang, and thus through the Julia wrapper. The repository also hosts related tools built on top of libclang functionality.
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  • 2
    Clapeyron

    Clapeyron

    Framework for the development and use of fluid-thermodynamic models

    Welcome to Clapeyron! This module provides both a large library of thermodynamic models and a framework for one to easily implement their own models. Clapeyron provides a framework for the development and use of fluid-thermodynamic models, including SAFT, cubic, activity, multi-parameter, and COSMO-SAC.
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  • 3
    Cleaver

    Cleaver

    30-second slideshows for hackers

    Cleaver is a one-stop-shop for generating HTML presentations in record time. Using some spiced up markdown, you can produce good-looking, interactive presentations with a just a few lines of text. Cleaver supports several basic options that allow you to further customize the look and feel of your presentation, including author info, stylesheets, and custom templates. Cleaver has substantial theme support to give you more fine-grained control over your presentation, similar to options. Instead of manually specifying a stylesheet, template, layout, and others, you can specify a single theme containing each of these assets. Cleaver comes with a stylesheet that looks good by default, but you can extend it at your heart's desire. Themes are prepackaged options you can invoke from a directory, URL, or even a GitHub repository.
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  • 4
    CliMA Land

    CliMA Land

    Everything within the Land model

    CliMA Land is a next generation Land Surface Model (LSM) designed to use the broadly available remote sensing data as well as ground-based flux measurements. CliMA Land is a highly modular platform to promote research at different scales from tissue to organ, whole plant, and ecosystem. Therefore, we deliver CliMA Land via a patch of packages (also referred to as sub-modules) to reduce the time used to initialize a research project. As a result, the repository is more a collection of tutorials and examples for users, rather than a place to store the code for all sub-modules. This project is supposed to be a community effort, leveraging all the work that has been done in Land Surface Modeling from various groups around the world. The ultimate goal is to build a bio-physical model that represents the state of the art and can be coupled to the CliMA Earth System Model (ESM), i.e. Caltech's CliMA initiative.
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  • 5
    ClickVisual

    ClickVisual

    Log analytic and data visualize platform built on clickhouse

    ClickVisual is a lightweight browser-based logs analytics and logs search platform for ClickHouse.
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  • 6
    ClimateMachine.jl

    ClimateMachine.jl

    Earth System Model that automatically learns from data

    The ClimateMachine is a software package that models the evolution of the Earth system over weeks to centuries. The ClimateMachine solves three-dimensional partial differential equations for the distributions of water, momentum, energy, and tracers such as carbon in the atmosphere, oceans, and on land. The ClimateMachine will harness a wide range of Earth observations and data generated computationally to predict the evolution of Earth’s climate and features such as droughts, rainfall extremes, and high-impact storms.
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  • 7
    ClimateTools.jl

    ClimateTools.jl

    Climate science package for Julia

    Climate analysis tools in Julia. ClimateTools.jl is a collection of commonly-used tools in Climate science. Basics of climate field analysis are covered, with some forays into exploratory techniques associated with climate scenario design. The package is aimed to ease the typical steps of analysis of climate models outputs and gridded datasets (support for weather stations is a work-in-progress). Climate indices and bias correction functions are coded to leverage the use of multiple threads. To gain maximum performance, use (bash shell Linux/MacOSX) export JULIA_NUM_THREADS=n, where n is the number of threads. To get an idea of the number of threads you can use type (in Julia) Sys.THREADS. This is especially useful for bias correction.
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  • 8
    A C++ library for clipping polygons.
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  • 9
    Cloud is a point-cloud viewer for Mac OS X. Cloud reads a point-cloud data (e.g. x y z r g b) and renders it by using OpenGL.
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  • 10
    clusterviz allows to cluster three-dimensional data. The clustering process is visualized using OpenGL. As clustering algorithms the family of k-means algorithms is implemented, including mixture models.
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  • 11
    Clustergrammer

    Clustergrammer

    An interactive heatmap visualization built using D3.js

    Clustergrammer is a visualization library built using D3.js that enables intuitive interaction with high-dimensional data. Clustergrammer was built with biological data in mind. Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer's front end (Clustergrammer-JS) is built using D3.js and its back-end (Clustergrammer-PY) is built using Python. Clustergrammer produces highly interactive visualizations that enable intuitive exploration of high-dimensional data and has several biology-specific features (e.g. enrichment analysis, see Biology-Specific Features) to facilitate the exploration of gene-level biological data.
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  • 12
    This is educational software whose purpose it is to clarify the workings of different clustering algorithms by visualising the clustering process in 2D space. This make many possible problems and advantages very clear.
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  • 13
    Clustering.jl

    Clustering.jl

    A Julia package for data clustering

    Methods for data clustering and evaluation of clustering quality.
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  • 14
    CoactivationMap is a graphic user interface to browse through a map of functional co-activations of the human brain. Click on a region, and observe which other regions are likely to be connected
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  • 15

    Coastline Evolution Model

    Modified version of the Coastline Evolution Model (CEM)

    The Coastline Evolution Model (CEM), originally developed by Ashton et al. (2001), Ashton and Murray (2006) and Valvo et al. (2006), is a reduced complexity, one-line sediment transport model that simulates the evolution of coastlines via wave-driven alongshore sediment transport. The original CEM has no Graphical User Interface (GUI) and does not provide graphical visualisations during model runs. The modified version given here includes these features. This project forms part of a wider research project and further developments on this model are anticipated.
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  • 16
    The project will provide a Cocoa framework to interface OpenGL in a more OO-fashioned style. It is not meant to be the fastest code possible, nor to leverage all the power of OpenGL, but to give developers a easy way to start working in 3D
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  • 17
    Cocoa Barcode Scanner Software. The software is an Xcode project written in Cocoa and Carbon that detects barcodes from images streaming from a firewire camera. Mac OS X only.
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  • 18
    The Code Core is a set of sample source codes for Mac OS X. This example includes Core Graphics, Core Image, Core Video, Core Audio, Core Data, QuickTime Kit, I/O Kit, etc.
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  • 19
    Code Surfer

    Code Surfer

    Rad code slides

    Code Surfer is a presentation tool for creating interactive code-focused slides in MDX Deck. It helps presenters explain code by adding highlighting, zooming, scrolling, focusing, and morphing between code states. The project is designed for technical talks, workshops, tutorials, and conference demos where static screenshots are not expressive enough. It lets authors wrap code blocks inside Code Surfer components and control how the audience moves through the code. This makes it easier to reveal important lines gradually, compare changes, and maintain attention during complex explanations. Code Surfer is best suited for developers who teach programming concepts and want more dynamic code presentations.
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  • 20
    A framework for building, deploying and managing well-described REST-ful Web services, including REST-ful Web Services realizations for RSS, XML Topic Maps, Structured Arguments, and Workflow.
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  • 21

    CollectD-CSV Plotter

    Web interface for visualizing CSV data from CollectD monitoring system

    CollectD-CSV Plotter is a web interface for fetching and visualizing data that is saved in CollectD CSV format. An HTML form is used for defining the time interval and choosing the wanted measurements. The plotter is actually a front-end for collectd-csv module (http://pypi.python.org/pypi/collectd-csv/), which it uses for fetching the data. Technologies CollectD-CSV Plotter uses include CGI/Python, HTML5/JavaScript, jQuery, jQuery-UI and Gnuplot.
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  • 22
    ColorSchemes.jl

    ColorSchemes.jl

    colorschemes, colormaps, gradients, and palettes

    Color schemes, colormaps, gradients, and palettes. Choose ColorSchemes with care. Refer to Peter Kovesi's PerceptualColourMaps package, or to Fabio Crameri's Scientific Colour Maps for more information. If you want to make more advanced ColorSchemes, use linear-segment dictionaries or indexed lists, and use functions to generate color values, see the make_colorscheme() function in the ColorSchemeTools.jl package.
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  • 23
    This package aims to enable complex ideogram drawing in genetic applications for different species.
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  • 24
    Coluna.jl

    Coluna.jl

    Branch-and-Price-and-Cut in Julia

    Coluna is a branch-and-price-and-cut framework written in Julia. You write an original MIP that models your problem using the JuMP modeling language and our specific extension BlockDecomposition offers a syntax to specify the problem decomposition. Then, Coluna reformulates the original MIP and optimizes the reformulation using the algorithms you choose. Coluna aims to be very modular and tweakable so that you can define the behavior of your customized branch-and-price-and-cut algorithm.
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  • 25
    CommonMark.jl

    CommonMark.jl

    A CommonMark-compliant parser for Julia

    A CommonMark-compliant parser for Julia.
    Downloads: 0 This Week
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