Open Source Mac Data Visualization Software - Page 38

A "gumbo" of tools and concepts supporting rich client applications with 2D/3D user interfaces. Expands on the code from the book "3D User Interfaces with Java 3D", and includes a generous contribution of RCP code from Meyer Sound. Recent work includes a Norden bombsight simulator, with terrain rendering based on NASA's WorldWind SDK. For this effort YourKit has generously made available its full-featured Java Profiler (https://www.yourkit.com/java/profiler/index.jsp), which has proved invaluable in improving simulator performance.

GyVe (GalaxY ViEwer) is a visualization program for understanding the distribution of galaxies and clusters of galaxies.

The HCubature module is a pure-Julia implementation of multidimensional "h-adaptive" integration. then hcubature(f, a, b) computes the integral, adaptively subdividing the integration volume into smaller and smaller pieces until convergence is achieved to the desired tolerance (specified by optional rtol and atol keyword arguments. Because hcubature is written purely in Julia, the integrand f(x) can return any vector-like object (technically, any type supporting +, -, * real, and norm: a Banach space). You can integrate real, complex, and matrix-valued integrands, for example. Note that HCubature assumes that your function f(x) can be computed at arbitrary points in the integration domain. (This is the ideal way to do numerical integration.) If you instead have f(x) precomputed at a fixed set of points, such as a Cartesian grid, you will need to use some other method (e.g. Trapz.jl for a multidimensional trapezoidal rule).

HDF5 stands for Hierarchical Data Format v5 and is closely modeled on file systems. In HDF5, a "group" is analogous to a directory, a "dataset" is like a file. HDF5 also uses "attributes" to associate metadata with a particular group or dataset. HDF5 uses ASCII names for these different objects, and objects can be accessed by Unix-like pathnames, e.g., "/sample1/tempsensor/firsttrial" for a top-level group "sample1", a subgroup "tempsensor", and a dataset "firsttrial". For simple types (scalars, strings, and arrays), HDF5 provides sufficient metadata to know how each item is to be interpreted. For example, HDF5 encodes that a given block of bytes is to be interpreted as an array of Int64, and represents them in a way that is compatible across different computing architectures. However, to preserve Julia objects, one generally needs additional type information to be supplied, which is easy to provide using attributes.

This project is focused on development of computational tools for the unfolding and visualization of medial temporal lobe structures based on high-resolution magnetic resonance imaging (MRI) images. Click on the Home Page link above for more information

Human Machine integration for vessel segmentation has as main objective finding precise methods for the segmentation of blood vessels in retinal images, with the main goal of improving screening and diagnosis procedures.

HMMBase is not maintained anymore. It will keep being available as a Julia package but we encourage existing and new users to migrate to HiddenMarkovModels.jl which offers a similar interface. For more information see HiddenMarkovModels.jl: when did HMMs get so fast?. HMMBase provides a lightweight and efficient abstraction for hidden Markov models in Julia. Most HMMs libraries only support discrete (e.g. categorical) or Normal distributions. In contrast HMMBase builds upon Distributions.jl to support arbitrary univariate and multivariate distributions.

What is HRTP anyway? HRTP is a ray tracer with lots of plugins. Why this name? HRTP stands for "Hyperion Ray Tracing Project". I chose this name based on Hyperion, a greek God of Light

This is a python package that allows one to easily create timelines in object-oriented python which later renders to HTML.

It's a "Hello World" implementation of SOM (Self-Organizing Map) of Teuvo Kohonen, otherwise called as the Kohonen map or Kohonen artificial neural networks.

The purpose of this program is to plot the waveforms of the hydrogen wave function. The program has 4 option's. First, plotting the radial function, second, plotting the radial probability, third, 2d wave function,last, 3d wave function.

HalfEdgeLib is a simple to use implementation of this popular data structure, which enables quick and easy adjacency queries, topologic verifiability and iterator-based traversals. Some geometric and topological manipulation algorithms are now available,

The Happy Cube Solver is an interactive interface for designing and building cubes and other designs from the Happy Cube 3D puzzles. It integrates a graphic engine for creating and viewing designs and a simple engine for solving them. Online version: http://shooshx.github.io/happysolver/emscripten/index.html Maintainance of this project moved to: https://github.com/shooshx/happysolver This program is indented to support you while playing live with the Happy Cube©® Puzzles. These puzzles are worldwide manufacturered by HAPPY bvba, Belgium, on licensed and thus restricted base (www.happy.be). The Happy Cube puzzles are the result of a real invention in 1986 by Dirk Laureyssens.

This software can simulate heat transfer in solid heterogenous materia using cellular automata. There are two different simulation methods and several test model implemented at the moment. It is also possible to define boundary conditions.

Hedgehog Lab is an open-source scientific computation tool in the browser. Before the development, Pleases make sure you are already installed and enabled the yarn. Once cloned, switch to the dev branch and navigate to the folder by typing cd hedgehog-lab and then running the provided commands. On each run the program compiles and it takes time. Please wait until it shows "Compiled successfully!" and instructions about with which IP:PORT to connect.

Height Map Editor is a program meant for editing, generating and manipulating height maps (terrains) that can be used in terrain rendering engines, or even as clouds.

HiGHS.jl is a wrapper for the HiGHS solver.

HiPlot is an interactive visualization toolkit for exploring high-dimensional experiments, especially those produced during hyperparameter search or ablation studies. Its core view is a parallel-coordinates plot that lets you brush, filter, and highlight runs to spot trade-offs, correlations, and Pareto fronts at a glance. You can load results from simple CSV/JSON logs or programmatically push “experiments” with typed fields, metrics, and tags. The UI supports dynamic filtering, color mapping, and tooltip details so you can iteratively narrow to the most promising configurations. Because it renders as self-contained HTML, you can embed the visualization in notebooks, export it, or serve it as a lightweight web app for teammates. HiPlot also offers summary statistics, correlation hints, and outlier highlighting to surface patterns that aren’t obvious from raw tables.

HiSee is a tool for visualizing high dimensional data using one of a variety of projection techniques. A graphical interface is provided for viewing and exploring the projected data.

HomotopyContinuation.jl is a Julia package for solving systems of polynomial equations by numerical homotopy continuation. Many models in the sciences and engineering are expressed as sets of real solutions to systems of polynomial equations. We can optimize any objective whose gradient is an algebraic function using homotopy methods by computing all critical points of the objective function. An important special case is when the objective function is the euclidean distance to a given point. An example of an non-algebraic objective function whose derivative is algebraic is the Kullback–Leibler divergence. Homotopy continuation methods allow us to study the conformation space of molecules as for example cyclooctane (CH₂)₈. This molecule consists of eight carbon atoms aligned in a ring, and eight hydrogen atoms, each of which is attached to one of the carbon atoms.

This is a basic, non-blocking HTTP server in Julia. You can write a basic application using just this if you're happy dealing with values representing HTTP requests and responses directly. For a higher-level view, you could use Mux. If you'd like to use WebSockets as well, you'll need to grab WebSockets.jl.

Humboldt-Viewer the StreetMap/Urban Guide for SMGOs! Humboldt-Viewer is an OGC standard compliant Lightweight Web Map Service Viewer with powerful features and interface customization. Lookout for Humboldt GeoPISTA/WMS Viewer and Humboldt WMS Viewer!

Graph visualization using hyperbolic geometry (hyperbolic trees, but also general graphs). Applications cover web site structures, topic maps, organisational charts and wikis.

HyperTools is a library for visualizing and manipulating high-dimensional data in Python. It is built on top of matplotlib (for plotting), seaborn (for plot styling), and scikit-learn (for data manipulation). Functions for plotting high-dimensional datasets in 2/3D. Static and animated plots. Simple API for customizing plot styles. Set of powerful data manipulation tools including hyperalignment, k-means clustering, normalizing and more. Support for lists of Numpy arrays, Pandas dataframes, text or (mixed) lists. Applying topic models and other text vectorization methods to text data. HyperTools is designed to facilitate dimensionality reduction-based visual explorations of high-dimensional data. The basic pipeline is to feed in a high-dimensional dataset (or a series of high-dimensional datasets) and, in a single function call, reduce the dimensionality of the dataset(s) and create a plot.

Developed in Java programming language, this software lets its users view and manipulate hierarchical data structures represented as a hyperbolic trees.