Open Source Windows Data Visualization Software - Page 80

Spin3D - OpenGL Visualization Tool for high dimensional data.

Implementation of a bidirectional bridge between Sun SPOTs and virtual Spaughts in SecondLife using XML-RPC between Java (spot-side) and C# (libsecondlife on SL-side).

Tensegrity simulator

SpyGlass is a modular and extensible visualization framework for wireless sensor networks.

The fluid simulator consists of a core library and a GUI. The core makes all calculations based on the paper "Stable Fluids" by Jos Stam. It is able to simulate fluid flow in abritrary time steps. Support for boundaries is included.

Codes related to answers by Royi Avital on StackExchange Network.

The Stage Lighting Synth lets you create stage lighting shows with real-life lighting fixtures controlled via DMX. It is a visual graph editor for creating and controlling stage lighting shows in realtime, and is incredibly easy to extend.

Calculation Tool for Architects and Designers to help designing of the staircase. The sofware can calculate the appropriate rise and nose of the stair steps to fit in architecture. It can also visualized the entire staircase in 3D. Language Eng and Thai

A collection of example Stan Language programs demonstrating all methods available in Stan's cmdstan executable (as an external program) from Julia. For most applications one of the "single method" packages, e.g. StanSample.jl, StanDiagnose.jl, etc., is a better choice for day-to-day use. To execute the most important method in Stan ("sample"), use StanSample.jl. Some Pluto notebook examples can be found in the repository.

StarMap 3D: the project aims to offer a fast and easy consultation of stellar systems

Welcome to the documentation for Starlight.jl, a greedy application framework for greedy developers. Its primary use case is video games, but the power of Julia, SDL2, Vulkan, and the Bullet Physics SDK can be leveraged to make just about anything you want. With a focus on flexibility and code quality, Starlight aims to be such a framework. It includes a suite of components and integrations that make it particuarly well-suited for video games, so it is not a stretch to call it a "game engine". However, Starlight is most fundamentally a scripting layer for SDL, Vulkan, and Bullet (via the Telescope backend), meaning it can be used for any application that needs high-performance rendering and physics. Furthermore, there are plans to allow selective enabling of different subsystems, meaning it could be used for GUI apps or pure physics simulation or anything else you can imagine.

StatCvs-XML provides statistics about cvs usage based on the cvs log. It extends the StatCvs project with fancy 3D charts, advanced report generation and customization features. It also features a plugin for seamless integration with Apache Maven.

The aim of this project is to automate and simplify the linking / merging / importing of country data from various sources, such as UNESCO, WHO, World Bank, IMF, etc. Project website: www.statsilk.com

This module formats the output from Julia's Profile module into an html rendering of the source function lines and functions, allowing for interactive exploration of any bottlenecks that may exist in your code.

StateGL++ is an abstraction layer hiding OpenGL implementation details such as stack depths and attribute settings and allowing pushing and popping of lights and materials. With StateGL you don't have to worry about GL_MAX_*STACK_DEPTH.

StateVis is a package that allows states (or groups) to create a browsable database of their Landsat holdings.

The Stats Jam project is an extension to Mediawiki that allows users to embed database queries and visualisations into their wiki pages.

StatsBase.jl is a Julia package that provides basic support for statistics. Particularly, it implements a variety of statistics-related functions, such as scalar statistics, high-order moment computation, counting, ranking, covariances, sampling, and empirical density estimation.

This is a convenience meta-package that allows loading essential packages for statistics in one command.

StellarGraph is a Python library for machine learning on graphs and networks. The StellarGraph library offers state-of-the-art algorithms for graph machine learning, making it easy to discover patterns and answer questions about graph-structured data. It can solve many machine learning tasks. Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can contain people as nodes and friendships between them as links, with data like a person’s age and the date a friendship was established. StellarGraph supports the analysis of many kinds of graphs. StellarGraph is built on TensorFlow 2 and its Keras high-level API, as well as Pandas and NumPy. It is thus user-friendly, modular and extensible. It interoperates smoothly with code that builds on these, such as the standard Keras layers and scikit-learn.

Software for creating Depth Maps and DEMs from image pairs taken using a Stereo Camera Rig. Currently works on images from Parallel Cameras. I can be contacted via jamie.fraser@gmail.com.

A software to implement the existing stereo matching algorithms in computer vision, including the easiest SSD, and the newest algorithms.

The application „StockNews“ is to offer the possibility to the user to find out about the interaction between news, analyst opinions and stock exchange rates. Statistics and other relevant data about enterprises are available.

StormForce is a free open source program written in Python/PyGame for the Boltek LD-250/StormTracker. StormForce works in FreeBSD, Linux, and Microsoft Windows.

Strategems is a Julia package aimed at simplifying and streamlining the process of developing, testing, and optimizing algorithmic/systematic trading strategies. This package is inspired in large part by the quantstrat1,2 package in R, adopting a similar general structure to the building blocks that make up a strategy. Given the highly iterative nature of event-driven trading strategy development, Julia's high-performance design (particularly in the context of loops) and straightforward syntax would seem to make it a natural fit as a language for systematic strategy research and development. While this package remains early in development, with time the hope is to be able to rapidly implement a trading idea, construct a historical backtest, analyze its results, optimize over a given parameter set, and visualize all of this with great detail.