Open Source Data Visualization Software - Page 53
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Data Visualization Software
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DiffOpt.jl
Differentiating convex optimization programs w.r.t. program parameters
DiffOpt.jl is a package for differentiating convex optimization programs (JuMP.jl or MathOptInterface.jl models) with respect to program parameters. Note that this package does not contain any solver. This package has two major backends, available via the reverse_differentiate! and forward_differentiate! methods, to differentiate models (quadratic or conic) with optimal solutions. Differentiable optimization is a promising field of convex optimization and has many potential applications in game theory, control theory and machine learning. Recent work has shown how to differentiate specific subclasses of convex optimization problems. But several applications remain unexplored. With the help of automatic differentiation, differentiable optimization can have a significant impact on creating end-to-end differentiable systems to model neural networks, stochastic processes, or a game. -
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Digital Earth Australia notebooks
Repository for Digital Earth Australia Jupyter Notebooks
The knowledge hub brings together information about Digital Earth Australia’s products and services, allowing you to utilize our free and open-source satellite imagery archive. Browse our catalog of data products to find supporting information and ways to access the data. The Digital Earth Australia notebooks and tools repository (dea-notebooks) hosts Jupyter Notebooks, Python scripts and workflows for analyzing Digital Earth Australia (DEA) satellite data and derived products. This documentation is designed to provide a guide to getting started with DEA, and to showcase the wide range of geospatial analyses that can be achieved using DEA data and open-source software including Open Data Cube and xarray. -
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Digital graph 1.3 is an advanced JAVA SWING component for modelling, displaying, saving and loading graphs(using XML and XMLSchema). It is fully documented and requires jdk 1.5.x.Version 1.3 adds 9 bug fixs, 3 rengineering and 4 new features.
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Diktyologia is software for investigating complex systems with advanced methods of network theory. The package allows for analysing statistical properties of directed intercausal networks that are represented in form of cy.prus XML files.
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DiscriAlign implements a novel algorithm that aligns a set of biological interaction networks.It identifies both functionally conserved and dissimilar regions.
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Distances.jl
A Julia package for evaluating distances (metrics) between vectors
A Julia package for evaluating distances (metrics) between vectors. This package also provides optimized functions to compute column-wise and pairwise distances, which are often substantially faster than a straightforward loop implementation. -
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Distributions.jl
A Julia package for probability distributions and associated functions
A Julia package for probability distributions and associated functions. -
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Divide and Conquer Treemaps
Divide and Conquer Treemap Visualisation
The project develops new new techniques and algorithms for quickly partitioning and visualizing very large hierarchical structures within a variety of arbitrary shapes and space using Divide and Conquer approach for Treemaps. Related publications: https://www.sciencedirect.com/science/article/pii/S1045926X1500066X https://dl.acm.org/doi/pdf/10.1145/2493102.2493112 -
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Django-dataplot enables developers using the Django web framework to seamlessly integrate data-driven graphical plots into their web pages.
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DocOpt.jl
Command line arguments parser
DocOpt.jl is a port of docopt written in the Julia language. docopt generates a command-line arguments parser from human-readable usage patterns. The DocOpt module exports just one function, docopt, which takes multiple arguments but all of them except the first one are optional. -
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Dolphin is a light scientific computing visualization platform with high portability.We provide the most common functions in the visualization application and easy plug-in development by Dolphin’s plug-in mechanism. Dolphin is under GPL licence!
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Domotix is a home automation software developped in Delphi for the central system, in Php for the actions scripts, and where datas are centralized in a MySQL database.
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DotNET.jl
This package provides interoperability between Julia and .NET apps
This package provides interoperability between Julia and Common Language Runtime, the execution engine of .NET applications. Many languages run on CLR, including C#, Visual Basic .NET and PowerShell. -
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DoubleFloats.jl
Math with more good bits
Math with 85+ accurate bits. Extended precision float and complex types. -
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Dr. Jekyll is an interactive voxel editor for viewing and editing three-dimensional images. It is specifically aimed at postprocessing of segmented datasets, but offers some functionality for raw data as well.
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A 3D data visualization tool, specializing in the display of robotically collected point, range, and volumetric data. Provides a very flexible framework for different file formats and visualization parameters.
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A Maya plugin implementing a smooth skinning node doing dual quaternion skinning. Please visit the project's homepage for more information and downloads.
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Dumpling is a web based network analyzer written in PHP and MySql database. suitable for tcpdump / windump file outputs. Gives a visual display of the network traffic.
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DynaQ
Innovative text document search. http://dynaq.opendfki.de for details.
The goal of DynaQ is to develop an inquiry system to explore the personal information space, supporting you with the searching paradigm 'orienteering'. DynaQ is a (desktop)search engine with enhanced functionality for file, email and blog search. Look at our GitLab homepage for sourcecode and documentation: http://dynaq.opendfki.de -
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Dynagraph for Grappa is a Java front-end for the Dynagraph graph layout engines. It supports direct manipulation (graphical editing) of graphs, as well as text-driven display of dynamic graphs.
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DynamicHMC
Implementation of robust dynamic Hamiltonian Monte Carlo methods
Implementation of robust dynamic Hamiltonian Monte Carlo methods in Julia. In contrast to frameworks that utilize a directed acyclic graph to build a posterior for a Bayesian model from small components, this package requires that you code a log-density function of the posterior in Julia. Derivatives can be provided manually, or using automatic differentiation. Consequently, this package requires that the user is comfortable with the basics of the theory of Bayesian inference, to the extent of coding a (log) posterior density in Julia. This approach allows the use of standard tools like profiling and benchmarking to optimize its performance.
