Open Source Windows Data Visualization Software - Page 97

A command line interface (CLI) to Pkg, Julia's package manager.

jlrs is a crate that provides access to most of the Julia C API, it can be used to embed Julia in Rust applications and to use functionality it provides when writing ccallable functions in Rust. Currently, this crate is only tested in combination with Julia 1.6 and 1.9, but also supports Julia 1.7, 1.8, and 1.10. Using the current stable version is highly recommended. The minimum supported Rust version is currently 1.65. Julia must be installed before jlrs can be used, jlrs is compatible with Julia 1.6 up to and including Julia 1.10. The JlrsCore package must also have been installed, if this is not the case it will automatically be added when jlrs is initialized by default. jlrs has not been tested with juliaup yet on Linux and macOS.

Julia is a beautiful language, it is well-designed and well-documented. Julia's C-API is also well-designed, less beautiful, and much less... documented. jluna aims to fully wrap the official Julia C-API, replacing it in projects with C++ as the host language, by making accessing Julia's unique strengths through C++ safe, hassle-free, and just as beautiful. It allows for easy integration of Julia scripts and packages into projects with C++ as the host language, making language interaction easy and convenient.

jmathplot is a light java library designed to allow easy plotting of 2D and 3D datas in a java panel.

An awesome viewer to browse and render Jupyter Notebooks from local, Amazon S3, Google Cloud Storage, or MinIO. Browse and render Jupyter Notebooks from local, Amazon S3, Google Cloud Storage, or MinIO. Register and access multiple directories(or buckets) at the same time. Show and allow to config ToC(Table of Contents) included in your Jupyter Notebook. Hide/show all codes in your Jupyter Notebook interactively. Generate a permanent link about your Jupyter Notebook. Download your Jupyter Notebook in one click.

Simple presentation/slide show application. Works on individual name-sequenced picture files. Automatic/step-by-step operation. works both fullscreen and windowed. Interval is in millis. Admits slide-show title. No runtime needed. Native code.

Emacs major mode for the Julia programming language.

Vim support for Julia. This plug-in adds some functionality to substitute LaTeX code sequences (e.g. \alpha) with corresponding Unicode symbols (e.g. α). By default, these substitutions must be triggered explicitly by pressing the Tab key, as in the Julia command line (the REPL); however, an automatic, as-you-type mode can also be activated, and a method based on keymap is also available. This feature also works in command mode, e.g. when searching the files with the / or ? commands, but the as-you-type mode is not available (the keymap-based version works though, and it also works with some Vim commands like f and t). By default, this feature is only active when editing Julia files. However, it can be also enabled with other file types, and even turned on/off on the fly regardless of the file type.

Display FEM (finite element method) grids. scroll, zoom, different colorings, sort them to increase cache efficiency and many other features

This is a RGB LED Pin-back Button controlled by an AVR Microcontroller.

LabVIEW-Projekt zur Frequenzgangmessung, für National Instruments LabVIEW 7.1.1 Benötigte Software: - National Instruments „LabVIEW 7.1.1 für Windows“, http://www.ni.com - Microsoft GW-Basic ( z.B. Commodore GW-Basic ) für MSDOS - Hardware-Treiber, im Verzeichnis „drivers“ mitgeliefert Inhalte des Projekts - Digitalmultimeter mit Microsoft GW-Basic Programm testen - Anbindung eines Funktionsgenerators an LabVIEW - Anbindung von Digitalmultimetern an LabVIEW - Anpassung der Vorlage zu einer funktionstüchtigen Labview-Anwendung „Voltcraft_Frequenzgang.vi“ - Ausführung der Frequenzgangsanalyse - Darstellung eines Frequenzgangs mit Labview Zur Projekt-Ausführung ist die LabVIEW-Datei „Voltcraft_Frequenzgang.vi“ in LabVIEW 7.1.1 zu laden und dann auszuführen. Copyright 2005-2015 Rolf Hemmerling, Bernd Böttcher. Licensed under the Apache License, Version 2.0

Lata is a file format to store CFD results, with special care for huge datasets. This project provides tools for manipulate and convert the lata files. This project is part of the VisIt plugin reader. The Snorky3D sofware is presented in the following conference communication: Visualisation of CFD computations: millions of particles in real time with Snorky3D Visu 2012, september 2012, Paris, France http://visu2012.imag.fr/articles/mathieu.pdf

A Python package for geospatial analysis and interactive mapping in a Jupyter environment. Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, and JupyterLab. Leafmap is built upon several open-source packages, such as folium and ipyleaflet (for creating interactive maps), WhiteboxTools and whiteboxgui (for analyzing geospatial data), and ipywidgets (for designing interactive graphical user interface [GUI]).

Python software package for 3D tracking of leg joints in walking insects. Published as Bender et al., PLoS ONE, 2010 (http://dx.doi.org/10.1371/journal.pone.0013617)

L(atex)equation aims to be the simplest latex to bitmap converter there is. Its goals are: simple gui, simple install, mac + windows + ubuntu binaries and it just should work.

GLOOP is Liquid Object Oriented Particles. libGLOOP render implicit surfaces from a set of "meta-points". Uses include: modeling liquids, volume rendering, computerized silly putty. Based on code by Brian Sharp

libPPP is an advanced image compression library. Depending on the content of the image, it uses either PGF (Progressive Graphics File) or PNG (Portable Network Graphics) to compress the image.

LibProcTer is a library for generating planetary terrains, suitable for use in realtime simulations like flight simulators. The library can use existing data and fill in missing data with procedural terrain generation.

libQGLViewer is a C++ library based on Qt that eases the creation of OpenGL 3D viewers.

A Library to calculate smooth lines in 2D and 3D. Given some polyline, a finer segmented polyline is generated. The smoothed line may hit the original points or its length may be equal to the original length. Linear equations solvers are also provided.

UniCode C++ library, a replacement for libunicode. This library allows to use / create multiple code pages, convert to HTML, using the latest UniCode version as reference. Max flexibility and re-usability. Cross-platform applications published: xpfweb

An OS/hardware vendor independent GPU accelerated image and video processing library written in C. Interface allows easy combination and manipulation of customizable filters. Works with an active OpenGL context.

Libgxl++ is a library based on the libxml++ and libxml2 to provide a complete and efficient API to parse and manipulate the GXL format.

LIK (Locate Internet Knowledge) is dedicated to find information on the internet and locate this information (web server) and the path (router) between it and you (your personal computer) on a map.

luma.gl is a GPU toolkit for the Web-focused primarily on data visualization use cases. luma.gl aims to provide support for GPU programmers that need to work directly with shaders and want a low abstraction API that remains conceptually close to the WebGPU and WebGL APIs. Unlike other common WebGL APIs, the developer can choose to use the parts of luma.gl that support their use case and leave the others behind. While generic enough to be used for general 3D rendering, luma.gl's mandate is primarily to support GPU needs of data visualization frameworks in the vis.gl suite.