Open Source Windows Data Visualization Software - Page 10
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Data Visualization Software for Windows
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WebVisu
Pure Browser based Visualisation for PLCs
Framework to enable PLC Visualisations (like Wago 750-841, Beck IPC, CoDeSys 2.3) displayed in a standalone Browser without Java applets. Including Browsers of iPad, iPhone, iPod, Android aso.. Based on HTML5 canvas and Javascript. -
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PGF/TikZ has moved to GitHub: https://github.com/pgf-tikz/pgf THIS REPOSITORY IS NOW UNMAINTAINED PGF is a TeX macro package for generating graphics. It is platform- and format-independent and works together with the most important TeX backend drivers, including pdftex and dvips. It comes with a user-friedly syntax layer called TikZ.
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PHPlot
A PHP class for creating graphs, plots, charts
PHPlot is a PHP graphics class for creating charts and plots. It works with PHP5 and the PHP GD extension to produce PNG, GIF, or JPEG images. TrueType fonts (TTF) are optional, or built-in GD fonts can be used. The available plot types include: area, bars, line/points, lines, pie, points, squared, stacked-bars, and thin bar-line. Labels, tick marks, plot legend, and X/Y axes and more are all configurable. Images can be imported as a background, multiple graphs can be drawn on one image, and images can be saved to disk or returned to a browser. -
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Teem
Tools to process and visualize scientific data and images
Teem is a set of C libraries for manipulation, measurement, and visualization of structured scientific data. Includes N-dimensional image I/O and processing, volume rendering, diffusion tensor processing, and more. Latest code via git clone http://git.code.sf.net/p/teem/teem.git . Join us at https://discord.gg/xBBqZGXkF7 -
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DataMelt
Computation and Visualization environment
DataMelt (or "DMelt") is an environment for numeric computation, data analysis, computational statistics, and data visualization. This Java multiplatform program is integrated with several scripting languages such as Jython (Python), Groovy, JRuby, BeanShell. DMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using powerful Java API. Elements of symbolic computations using Octave/Matlab scripting are supported. -
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libPGF
libPGF is an implementation of the Progressive Graphics File (PGF)
The Progressive Graphics File (PGF) is an efficient image file format, that is based on a fast, discrete wavelet transform with progressive coding features. PGF can be used for lossless and lossy compression. It's most suitable for natural images. PGF can be used as a very efficient and fast replacement of JPEG 2000. -
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AMDGPU.jl
AMD GPU (ROCm) programming in Julia
AMD GPU (ROCm) programming in Julia. -
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Accessors.jl
Update immutable data
The goal of Accessors.jl is to make updating immutable data simple. It is the successor of Setfield.jl. -
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Architecture as a code
Visualize, collaborate, and evolve the software architecture
Architecture as a code is an open-source modeling language and toolkit that enables software teams to describe, visualize, collaborate on, and maintain software architecture as code. Inspired by the C4 Model and other architectural DSLs, LikeC4 lets you define your system’s structure in a textual DSL and then automatically generate consistent diagrams that reflect that design, ensuring that architecture documentation stays in sync with source code changes. The project includes command-line tooling, IDE integrations, live preview servers, and diagram exporters, letting developers instantly see architectural diagrams update as the model evolves. By treating architecture as code, teams benefit from version control, live collaboration, consistency across diagrams, and the ability to treat architectural change with the same tooling and workflows used for code. -
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AutoAni
Compilation-free adaptive swf visualization template
AutoAni is a compilation-free adaptive visualization template designed for creating animated bar chart races and similar time-based visualizations using Flash. It focuses on ease of use for beginners by removing the need to install Flash or compile code—users simply prepare their data and images, place them in the same directory, and open the provided SWF file with any compatible player. The template comes with built-in Source Han Sans fonts, ensuring consistent text rendering without requiring users to install additional fonts. It supports smooth and adaptive animation with variable and uniform speed algorithms, making transitions between data states visually clear and accurate. Configuration is handled through simple CSV files, allowing users to adjust layout, speed, positioning, and formatting without editing the source code directly. AutoAni includes modules such as champion bars and champion portraits, with more features planned. -
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Britecharts
Composable Charting Library based on reusable D3.js components
Britecharts is a client-side reusable Charting Library based on D3.js v5 that offers easy and intuitive use of charts and components that can be composed together to create amazing visualizations. Britecharts components have been written in ES2016 with a Test Driven methodology, so they are fully tested, and we are committed to keeping them that way. The typical use of Britecharts involves creating a chart using its simple API, then rendering it on a container that has previously had data applied to it. All the components expose some common API methods like width, height, and margin. Additionally, each chart or component can expose specific methods you can find in the documentation. Britecharts components are distributed in UMD modules, each one exposing a D3.js component written with the Reusable API pattern. To use any of the Britecharts modules, you will need to require the chart in your JS file using AMD/CommonJS modules or adding a script tag with the src pointing to the file. -
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Checkmate
Checkmate is an open-source, self-hosted tool
Checkmate is an open-source, self-hosted infrastructure monitoring platform that provides real-time visibility into server health, uptime, response times, and incident activity through a modern web interface. The application continuously checks whether websites and services are accessible and performing optimally, generating alerts and reports when availability or performance degrades. It supports detailed infrastructure monitoring through an optional agent called Capture, which collects hardware metrics such as CPU, memory, disk usage, and temperature from remote machines. The system is designed to scale, having been stress-tested with more than a thousand active monitors without major performance issues. Checkmate also includes incident tracking and notification capabilities so teams can quickly respond to outages or anomalies. Overall, the platform serves as a comprehensive, developer-friendly alternative to commercial uptime and infrastructure monitoring tools. -
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Chokidar
Minimal and efficient cross-platform file watching library
Chokidar is a solution for all the users of Node.js fs.watch who are tired of it not reporting filenames on MacOS and events at all when using editors like Sublime on MacOS. Node.js fs.watch often reports events twice, emits most changes as rename, and it does not provide an easy way to recursively watch file trees nor supports recursive watching on Linux. Same as with Node.js fs.watchFile. Therefore, Chokidar resolves these problems. Initially made for Brunch (an ultra-swift web app build tool), it is now used in Microsoft's Visual Studio Code, gulp, karma, PM2, browserify, webpack, BrowserSync, and many others. It has proven itself in production environments. Chokidar does still rely on the Node.js core fs module, but when using fs.watch and fs.watchFile for watching, it normalizes the events it receives, often checking for truth by getting file stats and/or dir contents. -
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DFTK.jl
Density-functional toolkit
The density-functional toolkit, DFTK for short, is a collection of Julia routines for experimentation with plane-wave density-functional theory (DFT). The unique feature of this code is its emphasis on simplicity and flexibility with the goal of facilitating algorithmic and numerical developments as well as interdisciplinary collaboration in solid-state research. -
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DIY Split-Flap Display
DIY split-flap display
This is a work in progress split-flap display. Each module can flip between 40 unique characters: letters, numbers, and a few symbols. Multiple modules fit perfectly alongside each other to build bigger displays. The primary design goal was to make something that's possible to fabricate at home in small or single quantities and can be customized and built by an intermediate hobbyist at a reasonable price. This meant using widely available materials and avoiding any tooling with a high upfront cost. Following that philosophy, the design uses store-bought vinyl stickers for the letters, is driven by an ubiquitous and cheap 28BYJ-48 stepper motor, and uses common PVC ID badge cards cut to shape for the flaps (though custom die-cut flaps are also available). Even the enclosure, spool, and gears, which are all made from laser-cut MDF, can be easily ordered online. -
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Data Formulator
Create rich visualizations with AI
To create rich visualizations, data analysts often need to iterate back and forth among data processing and chart specification to achieve their goals. To achieve this, analysts need not only proficiency in data transformation and visualization tools but also efforts to manage the branching history consisting of many different versions of data and charts. Recent LLM-powered AI systems have greatly improved visualization authoring experiences, for example by mitigating manual data transformation barriers via LLMs' code generation ability. However, these systems do not work well for iterative visualization authoring, because they often require analysts to provide, in a single turn, a text-only prompt that fully describes the complex visualization task to be performed, which is unrealistic to both users and models in many cases. In this paper, we present Data Formulator 2, an LLM-powered visualization system to address these challenges. -
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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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DoubleFloats.jl
Math with more good bits
Math with 85+ accurate bits. Extended precision float and complex types. -
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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. -
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Enzyme.jl
Julia bindings for the Enzyme automatic differentiator
This is a package containing the Julia bindings for Enzyme. This is very much a work in progress and bug reports/discussion is greatly appreciated. Enzyme is a plugin that performs automatic differentiation (AD) of statically analyzable LLVM. It is highly-efficient and its ability perform AD on optimized code allows Enzyme to meet or exceed the performance of state-of-the-art AD tools. -
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F2
An elegant, interactive and flexible charting library for mobile
F2 is an out-of-the-box visualization engine focused on the mobile terminal, oriented to conventional statistical charts, perfectly supporting the H5 environment and compatible with multiple environments (Node, applet), complete graphics grammar theory, to meet your various visualization needs , professional mobile design guidelines to bring you the best mobile graphics experience. Best practices for moving side charts around design, performance and heterogeneous environments. Based on the grammar of graphics, Flexible construction of various charts (50+), complete components, covering various scenarios. Plugin, graphics, animation and interaction can be flexibly expanded and freely used. Covering business scenarios such as Ant membership, Alipay monthly bills, personal total assets, etc., it helps you understand your consumption data faster and better through visualization. -
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Finch.jl
Sparse tensors in Julia and more
Finch is a cutting-edge Julia-to-Julia compiler specially designed for optimizing loop nests over sparse or structured multidimensional arrays. Finch empowers users to write conventional for loops which are transformed behind-the-scenes into fast sparse code. -
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Flame Graphs
Stack trace visualizer
Flame graphs are a visualization of profiled software, allowing the most frequent code-paths to be identified quickly and accurately. They can be generated using my open source programs, which create interactive SVGs. See the Updates section for other implementations. Recently I've been helping with d3-flame-graph. The x-axis shows the stack profile population, sorted alphabetically (it is not the passage of time), and the y-axis shows stack depth, counting from zero at the bottom. Each rectangle represents a stack frame. The wider a frame is is, the more often it was present in the stacks. The top edge shows what is on-CPU, and beneath it is its ancestry. The colors are usually not significant, picked randomly to differentiate frames. Flame charts were first added by Google Chrome's WebKit Web Inspector (bug). While inspired by flame graphs, flame charts put the passage of time on the x-axis instead of the alphabet. -
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Flare
Flare is an ActionScript library for creating visualizations
Flare is an ActionScript library for creating data visualizations in the Flash Player. It spans from simple charts (bar, line, pie, etc.) up to complex interactive and animated visualizations. It supports data management, visual encoding, animations, and interactive behaviors so that users/developers can build expressive, dynamic visual data displays in Flash. Flare is an ActionScript library for creating visualizations that run in the Adobe Flash Player. From basic charts and graphs to complex interactive graphics, the toolkit supports data management, visual encoding, animation, and interaction techniques. -
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FossFLOW
Make beautiful isometric infrastructure diagrams
FossFLOW is an open-source Progressive Web App for creating visually rich isometric infrastructure and network diagrams directly in the browser. Built with React and the Isoflow library, the application provides a specialized environment for producing 2.5D technical diagrams that are especially useful for DevOps and architecture documentation. The project is structured as a monorepo containing both a reusable React component library and the full web application wrapper. Because it runs fully client-side with offline support, users can design diagrams without sending data to external servers. FossFLOW focuses on usability through drag-and-drop components, connector tools, and automatic saving capabilities. Overall, it serves engineers and technical teams who want a modern, open alternative to traditional diagramming tools with a strong visual infrastructure focus.
