Open Source Mac Data Visualization Software - Page 29

Data Visualization Software for Mac

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  • 1
    DSIllustrator is a light-weight editor for making illustrations of data structures. It is used to make graphics of instances of basic data structure (trees, graphs, lists, stacks, etc) in very short time, to be used in lecture slides and typed homeworks.
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  • 2
    "DSO" is a Digital Signal Oscilloscope. My DSO will be connected via the USB to the PC. All software to operate the DSO is developed within this project.
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  • 3
    DSP.jl

    DSP.jl

    Filter design, periodograms, window functions

    DSP.jl provides a number of common digital signal processing routines in Julia.
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  • 4
    The program Visualizes the diffusion of water in the brain through ellipsoids.
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  • 5
    A Mac OS X framework implemented in Objective-C 2.0 that reads and parses ASCII DXF files. The framework returns an array of custom entity objects that can be used as needed by the program implementing this library.
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  • 6
    Dancing Networks attempts to create self-drawing diagrams by applying the laws of motion as we know them today. The process of the diagrams drawing themselves looks like a network that starts its dance in chaos but gravitates toward harmony and order.
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  • 7
    DarkMaps is a program that reads images and builds a 3D map from them.
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  • 8
    Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components.
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  • 9
    DataFrames.jl

    DataFrames.jl

    In-memory tabular data in Julia

    DataFrames.jl is a powerful Julia package for working with in-memory tabular data. It provides a familiar, flexible, and efficient interface for handling datasets, making it easy to load, manipulate, join, and analyze structured data. With syntax inspired by data frames in R and pandas in Python, it offers intuitive tools while taking advantage of Julia’s speed and type system. The package is actively maintained by the JuliaData community, with contributions from over 200 developers worldwide. It is widely used for data science, research, and production applications, supported by extensive documentation, tutorials, and a free Julia Academy course. Cited in academic literature and trusted by practitioners, DataFrames.jl is one of the core libraries for Julia’s growing data ecosystem.
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  • 10
    DataFramesMeta.jl

    DataFramesMeta.jl

    Metaprogramming tools for DataFrames

    Metaprogramming tools for DataFrames.jl objects to provide more convenient syntax. DataFrames.jl has the functions select, transform, and combine, as well as the in-place select! and transform! for manipulating data frames. DataFramesMeta.jl provides the macros @select, @transform, @combine, @select!, and @transform! to mirror these functions with more convenient syntax. Inspired by dplyr in R and LINQ in C#.
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  • 11
    DataStation Community Edition

    DataStation Community Edition

    App to easily query, script, and visualize data from every database

    DataStation is an open-source data IDE for developers. It allows you to easily build graphs and tables with data pulled from SQL databases, logging databases, metrics databases, HTTP servers, and all kinds of text and binary files. Need to join or munge data? Write embedded scripts as needed in languages like Python, JavaScript, R or SQL. All in one application. Build reports with graphs, charts and tables. Script against data. Cross-platform: Windows, macOS, and Linux. Easily fetch your data, wherever it is: 18 SQL and non-SQL databases, files, HTTP server. Over 20 supported databases out of the box including: PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, Oracle, ClickHouse, Influx 1 (InfluxQL), Influx 2 (Flux), Prometheus, Elasticsearch, AWS Athena, Google BigQuery, Snowflake, Cassandra, Scylla, TimescaleDB, YugabyteDB, CockroachDB, CrateDB, QuestDB, and Airtable.
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  • 12
    DataVoyager.jl

    DataVoyager.jl

    Julia wrapper for the Voyager data exploration tool

    This package provides Julia integration for the Voyager data exploration tool. DataVoyager.jl can be used for data exploration. It can help you visualize and understand any data that is in a tabular format.
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  • 13
    DatacenterManager

    DatacenterManager

    UNIX Performance Monitoring / Trend Analysis Java Software

    Remotely Inventory and Poll UNIX servers in seconds. (without installing extra software on your servers, just by SSH communication plain old UNIX commands).https://sites.google.com/site/ronuitzaandam/ Your entire datacenter can be automatically inventoried by supplying hostname, username & password for each server, either “one by one” or via an automated CSV host-list import file. This software goes great with other UNIX software like WinSCP and Putty etc !!!
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  • 14
    Davinci

    Davinci

    Davinci is a DVsaaS (Data Visualization as a Service) Platform

    Davinci is oriented towards product managers, business people, data engineers, data analysts, data scientists, etc. It aims to provide a one-stop data visualization solution, which could be both independently used as a public cloud/private cloud and integrated into third-party systems as plugin. A simple configuration on Davinci UI can meet multiple visualization requirements. It also supports other visualization features like advanced interaction, industry analysis, pattern searching, social intelligence, etc. Sharing and intelligence capability means users could share their dashboards with others, which stimulates them to improve the visualization ability both in aesthetic perception and technical skills. In the field of data visualization, Davinci attaches great importance to basic interaction ability and various chart options; meanwhile, it lays more stress on integration and customization capability as well as sharing and intelligence capability.
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  • 15
    DbViz produces plots of data contained in MySQL databases. Data can be viewed by looking at line graphs, xy scatter plots, and bar graphs. This greatly simplifies data analysis.
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  • 16
    Decision Table Preprocessor

    Decision Table Preprocessor

    Ccide is a Decision Table preprocessor.

    Ccide reads a source program, in one of several programming languages, expands all embedded decision tables, and generates the new, expanded source. Ccidew processes C language programs directly. The script, ccide, uses ccidew and m4, to process BASIC, JAVA, CC, C++, BASH, QB, VB, and EX(euphoria), source files containing embedded decision tables. Ccide checks all conditions once and only once, avoiding side effects. Ccide checks tables for conflicts and other errors. Input example: //DECISION_TABLE: // 1 3 2 2 | light == $$ /* 1=red, 2= yellow, 3=green. */ // N - - - | speed == STOPPED // - - Y - | speed == SLOW // - N - Y | speed == FAST // ______|___________________ // X - X - | Stop(); // - - - X | SlowDown(); // - X - - | SpeedUp(); //END_TABLE:
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  • 17
    DeepH-pack

    DeepH-pack

    Deep neural networks for density functional theory Hamiltonian

    DeepH-pack is the official implementation of the DeepH (Deep Hamiltonian) method described in the paper Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation and in the Research Briefing. DeepH-pack supports DFT results made by ABACUS, OpenMX, FHI-aims or SIESTA and will support HONPAS.
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  • 18

    DensitoPlot

    Densitometer data acquisition interface and plotter

    This software is to be used as a communication interface for photographic densitometers to receive transmission or reflective density through the serial port RS-232. A graph of the received data is also done automatically.
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  • 19
    Depth Explorer is a visual interactive tool for learning about Statistical Data Depth and evaluating depth measures.
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  • 20
    Design Cubes of Light

    Design Cubes of Light

    New software tool for designing of everything

    It's revolutionary invention for design of any product or design project, cause work with basics of Nature/Universe, it works with origin of all things created, a Light.
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  • 21

    Dex

    Data Visualization application written in JavaFX, Groovy, and HTML5.

    Data Explorer, or Dex is a tool for exploring data. Dex is a JavaFX application which aims to provide a general purpose framework for data visualization. The basics are easy to learn, however Dex offers advanced capabilities in the form of SQL and groovy transformations. Dex integrates many excellent visualization frameworks into one consistent GUI package. This is an early release, so you are likely to find functional gaps for your particular problem space. In such cases, you are free to extend Dex to suit your needs.
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  • 22
    Diagrams provides base classes for drawing time/distance diagrams and Gantt charts.
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  • 23
    Diana.jl

    Diana.jl

    GraphQL for Julia

    GraphQL is a data query language for APIs and a runtime for fulfilling those queries with your existing data developed by Facebook in 2012 and launched on the internet in 2015. It is an alternative to REST and ad-hoc web service architectures.
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  • 24
    DiffEqBayes.jl

    DiffEqBayes.jl

    Extension functionality which uses Stan.jl, DynamicHMC.jl

    This repository is a set of extension functionality for estimating the parameters of differential equations using Bayesian methods. It allows the choice of using CmdStan.jl, Turing.jl, DynamicHMC.jl and ApproxBayes.jl to perform a Bayesian estimation of a differential equation problem specified via the DifferentialEquations.jl interface.
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  • 25
    DiffEqOperators.jl

    DiffEqOperators.jl

    Linear operators for discretizations of differential equations

    DiffEqOperators.jl is a package for finite difference discretization of partial differential equations. It allows building lazy operators for high order non-uniform finite differences in an arbitrary number of dimensions, including vector calculus operators. For the operators, both centered and upwind operators are provided, for domains of any dimension, arbitrarily spaced grids, and for any order of accuracy. The cases of 1, 2, and 3 dimensions with an evenly spaced grid are optimized with a convolution routine from NNlib.jl. Care is taken to give efficiency by avoiding unnecessary allocations, using purpose-built stencil compilers, allowing GPUs and parallelism, etc. Any operator can be concretized as an Array, a BandedMatrix or a sparse matrix.
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