Open Source Linux Data Visualization Software - Page 2
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Data Visualization Software for Linux
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Freemat is an interpreted, matrix-oriented development environment for engineering and scientific applications, similar to the commercial package MATLAB. Freemat provides visualization, image manipulation, and plotting as well as parallel programming.
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Chart.js
Simple yet flexible JavaScript charting for designers & developers
Chart.js is a Javascript library that allows designers and developers to draw all kinds of charts using the HTML5 canvas element. Chart js offers a great array of simple, clean charts including animated and interactive versions. Chartjs is an easy way to include beautiful and engaging charts into your website for free. -
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PlotJuggler
The Time Series Visualization Tool that you deserve
Fast, intuitive, and extensible time series visualization tool. Its Drag & Drop interface is designed to maximize both simplicity and speed. PlotJuggler is perfect for visualizing logs, offline and real-time data, and it can be used in multiple fields. PlotJuggler can be connected to an external application using any inter-process communication and display data in real time. Thanks to its plugin-based architecture, it is easy to add new data sources and functionalities. If needed, you can easily add your own transport layer and/or protocol. You can apply functions and transformations to your time series, to better understand your data. -
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Matplotlib is a python library for making publication quality plots using a syntax familiar to MATLAB users. Matplotlib uses numpy for numerics. Output formats include PDF, Postscript, SVG, and PNG, as well as screen display. As of matplotlib version 1.5, we are no longer making file releases available on SourceForge. Please visit http://matplotlib.org/users/installing.html for help obtaining matplotlib.
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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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. -
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Orange Data Mining
Orange: Interactive data analysis
Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and harvest the insight! When teaching data mining, we like to illustrate rather than only explain. -
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Amide's a Medical Image Data Examiner: Amide is a tool for viewing, registering, and analyzing anatomical and functional volumetric medical imaging data sets.
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Keycastr
KeyCastr, an open-source keystroke visualizer
KeyCastr requires access to the macOS Accessibility API in order to receive your key events and broadcast the keystrokes you are interested in. On newer versions of macOS (10.15+) there is a new Input Monitoring menu under Security & Privacy within the System Preferences app, and KeyCastr will appear there automatically the first time you run it. Simply unlock this menu and check the box next to KeyCastr to enable it. On older versions of macOS, or if for some reason the app doesn't appear under the Input Monitoring menu (or if you want to pre-enable it) then you may manually add it to the list of apps in the Accessibility menu. If KeyCastr is already in the list, then click the, button and add KeyCastr again to be certain that the right application is chosen. Make sure to check the "Display all keystrokes" checkbox if you would like to display more than just the modifier keys. -
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SQLPad
Web-based SQL editor run in your own private cloud
A web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, ClickHouse, Crate, Vertica, Trino, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, TiDB, and many more via ODBC. The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure stability. See docker-examples directory for example docker-compose setup with SQL Server. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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The SourceForge OpenRasMol project is an adjunct to the RasMol and OpenrasMol project at http://rasmol.org. It is hoped that the SourceForge OpenRasMol project will provide a convenient focal point for active collaborative contributions.
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IMPORTANT NOTICE: This project has moved to GitHub: https://github.com/sarahtattersall/PIPE Releases will be posted here, but please check on GitHub for the most recent activity. Create, model and analyse Petri nets with a standards-compliant Petri net tool. PIPE2 is the active fork of the Platform Independent Petri net Editor project, which originated at Imperial College London.
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Kubernetes History Inspector
A log viewer for Kubernetes troubleshooting
The khi repository is a Google Cloud open-source project focused on infrastructure and system-level tooling, typically aimed at enabling advanced cloud-native workflows, observability, or orchestration in Kubernetes-based environments. It is designed to support engineers working with distributed systems by providing utilities and abstractions that simplify deployment, monitoring, or operational management. The project aligns with Google Cloud’s broader ecosystem of tools that help developers build scalable, containerized applications while maintaining visibility into system behavior. It often emphasizes integration with Kubernetes clusters, cloud-native APIs, and modern DevOps practices, allowing teams to manage complex workloads more efficiently. Although not a beginner-oriented repository, it provides valuable components and reference implementations for advanced users building production systems. -
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TexGen is a geometric textile modelling software package to be used for obtaining engineering properties of woven textiles and textile composites. Citing TexGen We would be grateful if you could acknowledge use of TexGen where appropriate and suggest using one of the following references: L P Brown and A C Long. "Modelling the geometry of textile reinforcements for composites: TexGen", Chapter 8 in "Composite reinforcements for optimum performance (Second Edition)", ed. P Boisse, Woodhead Publishing Ltd, 2021, ISBN: 978-0-12-819005-0. https://doi.org/10.1016/B978-0-12-819005-0.00008-3 Lin, H., Brown, L. P. & Long, A. C. 2011. Modelling and Simulating Textile Structures using TexGen. Advanced Materials Research, 331, 44-47. To reference version 3.13.0 please use: Louise Brown, mike-matveev, & georgespackman. (2023). louisepb/TexGen: TexGen v3.13.1 (v3.13.1). Zenodo. https://doi.org/10.5281/zenodo.8221491
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GeoLibre
A lightweight, cloud-native GIS platform
GeoLibre is a free, open-source GIS platform for visualizing, exploring, and analyzing geospatial data. It is built to run across browsers, desktop apps, mobile screens, Android, and Jupyter notebooks. The platform keeps data local and private while still supporting cloud-native geospatial workflows. It uses technologies such as Tauri, React, TypeScript, MapLibre GL JS, DuckDB-WASM Spatial, and deck.gl. Users can load many local and remote geospatial formats, style map layers, inspect attributes, and run spatial analysis. It also includes advanced tools such as multi-map comparison, SQL workspaces, story maps, field collection, plugins, Python automation, and an AI GIS assistant. -
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Stellarium
GPL software which renders realistic skies in real time
Stellarium is a free GPL software which renders realistic skies in real time with OpenGL. It is available for Linux/Unix, Windows and macOS. With Stellarium, you really see what you can see with your eyes, binoculars or a small telescope. Stellarium is a free open source planetarium for your computer. It shows a realistic sky in 3D, just like what you see with the naked eye, binoculars or a telescope. Plugin system adding artifical satellites, ocular simulation, telescope control and more. Ability to add new solar system objects from online resources. Add your own deep sky objects, landscapes, constellation images, scripts, etc. Supernovae and novae simulation. Exoplanet locations. 3D sceneries. Skinnable landscapes with spheric panorama projection. -
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Superset
Apache Superset is a data visualization and data exploration platform
Apache Superset is a modern data exploration and visualization platform. Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts. Quickly and easily integrate and explore your data, using either our simple no-code viz builder or state-of-the-art SQL IDE. Superset can connect to any SQL-based data source through SQLAlchemy, including modern cloud-native databases and engines at a petabyte-scale. Superset is lightweight and highly scalable, leveraging the power of your existing data infrastructure without requiring yet another ingestion layer. Superset ships with a wide array of beautiful visualizations. Our visualization plug-in architecture makes it easy to build custom visualizations that drop directly into Superset. -
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The Timeline Project
Cross-platform app for displaying and navigating events on a timeline.
The Timeline Project aims to create a free, cross-platform application for displaying and navigating events on a timeline. -
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XPEViewer
PE file viewer/editor for Windows, Linux and MacOS
XPEViewer is a cross-platform viewer and editor for Microsoft Portable Executable files used by Windows applications. It is designed for developers, malware analysts, and reverse engineers who need to inspect executable structures in detail. The application combines PE parsing with tools for examining binary data, disassembly, symbols, regions, entropy, and memory layout. Integrated hexadecimal viewing and editing provide direct access to raw file contents. The project also incorporates signature scanning, extraction, unpacking, and related analysis components from the developer's wider tool ecosystem. Builds are available for Windows, Linux, and macOS despite the analyzed format being primarily associated with Windows. Its modular Qt-based codebase supports both continued development and specialized binary-analysis workflows. -
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TreeForm Syntax Tree Drawing Software
Syntax Tree Drawing Software (Linguistics)
TreeForm Syntax tree drawing software is a Linguistic Syntax/Semantics tree drawing editor. Designed for graphical n-ary tree drawing. Mac users can install the software through the new package, but must give authority through "System Preferences" > "Security & Privacy". Windows and Linux users can run the software through the JAR file directly. All users must have Java 8 or higher installed. https://java.com/en/download/ -
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HDFView
Developer, maintainer, and steward of HDFView
HDFView is a free, open-source graphical application developed by The HDF Group for exploring and editing Hierarchical Data Format files. It supports HDF4 and HDF5 datasets commonly used in scientific research, engineering, and data analysis. Users can browse files through a hierarchical tree displaying groups, datasets, and related objects. The software provides spreadsheet-style views for examining multidimensional numerical data. It also allows users to inspect metadata, attributes, and data types associated with stored information. Selected datasets can be displayed through image and graphical visualization tools. HDFView supports modifying supported data objects and managing file structures. Built with Java, it provides a cross-platform environment for working with complex scientific datasets. -
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Rackula
Drag and drop rack visualizer
Rackula is a browser-based rack layout designer aimed at homelabbers, audio/video technicians, and equipment organizers who want a visual way to plan and document physical device racks. It runs entirely client-side with no backend server required, making it lightweight, fast, and easy to self-host or run locally without external dependencies. Users can drag and drop devices into customizable rack spaces, annotate equipment, set unit sizes, and manage complex layouts as their setup evolves. The tool emphasizes clarity and ease of use so that both hobbyists and professionals can plan wiring, sizing, and space allocation before physically committing to changes. It also supports exporting and sharing of layouts, which is useful for documentation or collaboration across teams. Community contributions focus on persistent storage, self-hosting guides, and UI improvements that make Rackula more adaptable for different environments. -
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ggplot2
An implementation of the Grammar of Graphics in R
ggplot2 is a system written in R for declaratively creating graphics. It is based on The Grammar of Graphics, which focuses on following a layered approach to describe and construct visualizations or graphics in a structured manner. With ggplot2 you simply provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it will take care of the rest. ggplot2 is over 10 years old and is used by hundreds of thousands of people all over the world for plotting. In most cases using ggplot2 starts with supplying a dataset and aesthetic mapping (with aes()); adding on layers (like geom_point() or geom_histogram()), scales (like scale_colour_brewer()), and faceting specifications (like facet_wrap()); and finally, coordinating systems. ggplot2 has a rich ecosystem of community-maintained extensions for those looking for more innovation. ggplot2 is a part of the tidyverse, an ecosystem of R packages designed for data science. -
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Stand-alone application and Python tools for interactive and/or batch processing analysis of X-Ray Fluorescence Spectra. Graphical user interface (GUI) and batch processing capabilities provided.
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TESTIMAGES
Testing images for scientific purposes
The TESTIMAGES archive is a huge and free collection of sample images designed for analysis and quality assessment of different kinds of displays and image processing techniques. The archive includes more than 2 million images originally acquired and divided in three different categories: SAMPLING and SAMPLING_PATTERNS (aimed at testing resampling algorithms), COLOR (aimed at testing color rendering on different displays) and PATTERNS (aimed at testing the rendering of standard geometrical patterns). Please cite the following papers when using any image in this archive: * ASUNI N, GIACHETTI A, "TESTIMAGES: A Large Data Archive For Display and Algorithm Testing", Journal of Graphics Tools, Volume 17, Issue 4, 2015, pages 113-125, DOI:10.1080/2165347X.2015.1024298 * ASUNI N, GIACHETTI A, "TESTIMAGES: a large-scale archive for testing visual devices and basic image processing algorithms", STAG - Smart Tools & Apps for Graphics Conference, 2014.
