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Panel is an open-source Python library designed to streamline the development of robust tools, dashboards, and complex applications entirely within Python. With a comprehensive philosophy, Panel integrates seamlessly with the PyData ecosystem, offering powerful, interactive data tables, visualizations, and much more, to unlock, visualize, share, and collaborate on your data for efficient workflows.

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Free to students/faculty: https://gaim.umbc.edu/2015/02/06/unreal-at-umbc/

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Unreal Engine | The most powerful real-time 3D creation tool

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Unreal Engine is the world's most open and advanced real-time 3D creation tool for photoreal visuals and immersive experiences.

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GitHub - cosmograph-org/cosmos: GPU-accelerated force graph layout and rendering

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GPU-accelerated force graph layout and rendering. Contribute to cosmograph-org/cosmos development by creating an account on GitHub.

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Bokeh is a Python library for creating interactive visualizations for modern web browsers. It helps you build beautiful graphics, ranging from simple plots to complex dashboards with streaming data…

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https://vega.github.io/vega-lite/

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Gephi Graph Visualization and Manipulation

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Gephi Graph Visualization and Manipulation

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also approved is the toolkit: https://gephi.org/toolkit/

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Gephi is the leading visualization and exploration software for all kinds of graphs and networks. Gephi is open-source and free.

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seaborn: statistical data visualization — seaborn 0.13.2 documentation

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Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing
attractive and informative statistical graphics.

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builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the library. Manipulate your data in Python, then visualize it in on a Leaflet map via .

Concepts

makes it easy to visualize data that's been manipulated in Python on an interactive leaflet map. It enables both the binding of data to a map for choropleth visualizations as well as passing rich vector/raster/HTML visualizations as markers on the map.

The library has a number of built-in tilesets from OpenStreetMap, Mapbox, and Stamen, and supports custom tilesets with Mapbox or Cloudmade API keys. supports both Image, Video, GeoJSON and TopoJSON overlays.

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builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the library. Manipulate your data in Python, then visualize it in on a Leaflet map via . makes it easy to visualize data that's been manipulated in Python on an interactive leaflet map.

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Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts.
Plotly.py is free and open source and you can view the source, report issues or contribute on GitHub.

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Free to students/faculty: https://wiki.umbc.edu/display/faq/MATLAB+stand-alone+installation

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The official home of MATLAB software. MATLAB is the easiest and most productive software environment for engineers and scientists. Try, buy, and learn MATLAB.

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Shiny comes with a variety of built in input widgets. With minimal syntax it is possible to include widgets like the ones shown on the left in your apps:

 # Select type of trend to plot selectInput(inputId = "type", label = strong("Trend index"), choices = unique(trend_data$type), selected = "Travel") # Select date range to be plotted dateRangeInput("date", strong("Date range"), start = "2007-01-01", end = "2017-07-31", min = "2007-01-01", max = "2017-07-31")

Displaying outputs is equally hassle-free:

 mainPanel( plotOutput(outputId = "lineplot", height = "300px"), textOutput(outputId = "desc"), tags$a(href = "https://www.google.com/finance/domestic_trends", "Source: Google Domestic Trends", target = "_blank") )

Build your plots or tables as you normally would in R, and make them reactive with a call to the appropriate render function:

 output$lineplot

Want to find out how we built the Google Trend Index app shown on the left? See the next tab for the complete source code.

# Load packages library(shiny) library(shinythemes) library(dplyr) library(readr) # Load data trend_data % filter( type == input$type, date > as.POSIXct(input$date[1]) & date < as.POSIXct(input$date[2] )) }) # Create scatterplot object the plotOutput function is expecting output$lineplot % pull(text) paste(trend_text, "The index is set to 1.0 on January 1, 2004 and is calculated only for US search traffic.") }) } # Create Shiny object shinyApp(ui = ui, server = server)

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Shiny comes with a variety of built in input widgets.

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Selections and transitions

Create, update, and animate the DOM based on data without the overhead of a virtual DOM.

Scales and axes

Encode abstract data into visual values such as position, size, and color. Explain position encodings with axes.

Shapes

Render arcs, areas, curves, lines, links, pies, stacks, symbols... and any geometric primitive you might need to visualize data.

Interactions

Facilitate exploration with reusable interactive behaviors, including panning, zooming, brushing, and dragging.

Layouts

Treemaps, trees, force-directed graphs, Voronoi, contours, chords, circle-packing... a library of layout algorithms at the ready.

Geographic maps

More spherical projections than you can shake a stick at, with arbitrary aspects, adaptive sampling, and flexible clipping.

... and much more!

CSV parsing, localized date parsing and formatting, color spaces, calendar math, statistics, and can I stop listing features now?

Powering Observable Plot

The D3 team also builds Observable Plot, a high-level API for quick charts built on top of D3.

Built by Observable

D3 is developed by Observable, the platform for collaborative data analysis.

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The JavaScript library for bespoke data visualization

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For an overview of the plotting methods we provide, see

This page contains example plots. Click on any image to see the full image and source code.

For longer tutorials, see our tutorials page . You can also find external resources and a in our .

Color

For more in-depth information about the colormaps available in matplotlib as well as a description of their properties, see the colormaps tutorial .

Event handling

Matplotlib supports event handling with a GUI neutral event model, so you can connect to Matplotlib events without knowledge of what user interface Matplotlib will ultimately be plugged in to. This has two advantages: the code you write will be more portable, and Matplotlib events are aware of things like data coordinate space and which axes the event occurs in so you don't have to mess with low level transformation details to go from canvas space to data space. Object picking examples are also included.

Scales

These examples cover how different scales are handled in Matplotlib.

Units

These examples cover the many representations of units in Matplotlib.

Embedding Matplotlib in graphical user interfaces

You can embed Matplotlib directly into a user interface application by following the embedding_in_SOMEGUI.py examples here. Currently Matplotlib supports PyQt/PySide, PyGObject, Tkinter, and wxPython.

When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab/pyplot procedural interface, so take a look at the examples/api directory for some example code working with the API.

Widgets

Examples of how to write primitive, but GUI agnostic, widgets in matplotlib

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Examples - Matplotlib 3.8.0 documentation

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For an overview of the plotting methods we provide, see This page contains example plots. Click on any image to see the full image and source code. For longer tutorials, see our tutorials page . You can also find external resources and a in our .

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Free and Open Source

Blender is a public project hosted on blender.org, licensed as GNU GPL, owned by its contributors.

For that reason Blender is Free and Open Source software, forever. Learn more

Part of the industry

Blender is a member of ASWF, Khronos, Linux Foundation and OIN. It's also well supported by major hardware vendors such as AMD, Apple, Intel, and NVIDIA.

It's about people.

Designers, developers, engineers, artists. All driven by passion. All using Blender to make an impact.

The Ecosystem

Countless communities and thriving businesses are built around Blender.

Together, these tutorial makers and content creators, add-on developers and global marketplaces form an ever-expanding ecosystem.
Find Blender Communities
Everything You Need

Cycles is Blender's built-in powerful unbiased path-tracer engine that offers stunning ultra-realistic rendering.

· Real-time viewport preview

· CPU & GPU rendering

· PBR shaders & HDR lighting support

· VR rendering support

Blender's comprehensive array of modeling tools make creating, transforming and editing your models a breeze.

· Full N-Gon support

· Edge slide, inset, grid and bridge fill, and more

· Advanced sculpting tools and brushes

· Multi-resolution and Dynamic subdivision

· 3D painting with textured brushes and masking

· Python scripting for custom tools and add-ons

VFX professionals say: "Probably the best tracker in the market". Blender includes production ready camera and object tracking. Allowing you to import raw footage, track the footage, mask areas and see the camera movements live in your 3D scene. Eliminating the need to switch between programs.

· Auto and Manual tracking

· Powerful camera reconstruction

· Real-time preview of your tracked footage and 3D scene

· Support for Planar tracking and Tripod solvers

Thanks to the high quality rigging and animation tools, Blender is being used for numerous short films, advertisements, TV series and feature films now.

· Envelope, skeleton and automatic skinning

· B-spline interpolated bones

· Curve editor and dope sheets

· Custom bone shapes for fast input

· Sound synchronization

Story Art, Drawing 2D in 3D

Really! Drawing directly in a 3D viewport makes a lot of sense. It opens unsurpassed workflow freedom for story-boarders and 2D artists.

· Combine 2D with 3D right in the viewport

· Full Animation Support with Onion Skinning

· Layers & Colors for Stroke and Fill

· Sculpt brush strokes & Parent to 3D objects

Blender has a flexible Python controlled interface. Layout, colors, size and even fonts can be adjusted. Use hundreds of add-ons by the community or create your own using Blender's accessible Python API.

· Customize the interface layout and colors

· Hi-res/Retina screen support

· Create your own tools and add-ons

· Draw over the OpenGL viewport

· Connect with Blender's Render API

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blender.org - Home of the Blender project - Free and Open 3D Creation Software

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Find out what is going on with the QGIS project and its community.

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"VisIt" is an Open Source, interactive, scalable, visualization, animation and analysis tool for Unix, Windows and Mac

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It has been a while in the making but we are very excited to launch the new Vulkan website to the community. Don't worry, Vulkan is still maintained and owned by The Khronos Group; we just felt that it had outgrown its old website now that it has been five years since the Vulkan 1.0 launch.

The original Vulkan website was designed for the launch of a cutting edge new API that would, initially, have limited official materials and community content. The old website performed that role admirably, but Vulkan has come a long way and we now have a large and increasing amount of tools, libraries, educational material, and news to showcase that a single page website cannot handle. The new website allows us to gather all these currently disparate internal and community resources in a single, easily navigable place.

Our primary goal with the new vulkan.org site was to place key resources prominently to allow developers to quickly and easily find what they need. With this in mind, each page has buttons in the banner leading straight to the most essential and popular resources. If you need the Vulkan Specification, SDK or Guide you can just jump straight there, no digging needed.

The new site has a whole page dedicated to Vulkan tools and support, giving developers access to SDKs, profilers, debuggers, libraries, language bindings, game engines and frameworks all easy to navigate to through a series of quick buttons. This is a huge improvement and it let's developers discover new tools or quickly find their go to favorites.

Vulkan is enjoying a boom in adoption by world class developers and we want to make sure we are showcasing this exciting content to our visitors. As such you'll notice much more prominent use of imagery across the site that will be updated as time goes on and new content is available. There is also now a dedicated "Made with Vulkan" showcase which is a living list of Vulkan content and reveals just how powerful and versatile the API is. If you have a Vulkan project that you would like to let us know about, please use the linked form on the Made with Vulkan page above the showcase.

We hope this website becomes a new focal point for the Vulkan community and improves the Vulkan development experience for both new and experienced developers.

In these days of social distancing, game developers and content creators all over the world are working from home and asking for help using Windows Remote Desktop streaming with the OpenGL tools they use. NVIDIA has created a special tool for GeForce GPUs to accelerate Windows Remote Desktop streaming with GeForce drivers R440 or later. Download and run the executable (nvidiaopenglrdp.exe) from the DesignWorks website as Administrator on the remote Windows PC where your OpenGL application will run. A dialog will confirm that OpenGL acceleration is enabled for Remote Desktop and if a reboot is required.

After missing their original target of transitioning to Intel Gallium3D by default for Mesa 19.3 as the preferred OpenGL Linux driver on Intel graphics hardware, this milestone has now been reached for Mesa 20.0.

The Khronos Group announces the release of the Vulkan 1.2 specification for GPU acceleration. This release integrates 23 proven extensions into the core Vulkan API, bringing significant developer-requested access to new hardware functionality, improved application performance, and enhanced API usability. Multiple GPU vendors have certified conformant implementations, and significant open source tooling is expected during January 2020. Vulkan continues to evolve by listening to developer needs, shipping new functionality as extensions, and then consolidating extensions that receive positive developer feedback into a unified core API specification. Khronos and the Vulkan community will support Vulkan 1.2 in a wide range of open source compilers, tools, and debuggers by the end of January 2020. Driver release updates will be posted on the Vulkan Public Release Tracker.

Find more information on the Vulkan 1.2 specification and associated tests and tools at:

NVIDIA Nsight Systems 2019.6 is now available for download. This release expands graphics trace on Windows by adding support for Direct3D 11, WDDM CPU+GPU queues, and OpenGL. On Linux, new features include support for CUDA 10.2, simultaneous CLI sessions, DWARF unwind and capture by hotkey.

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OpenGL - The Industry Standard for High Performance Graphics

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It has been a while in the making but we are very excited to launch the new Vulkan website to the community. Don’t worry, Vulkan is still maintained and owned by The Khronos Group; we just felt that it had outgrown its old website now that it has been five years since the Vulkan 1.0 launch.

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The Visualization Toolkit (VTK) is open source software for manipulating and displaying scientific data. It comes with state-of-the-art tools for 3D rendering, a suite of widgets for 3D interaction, and extensive 2D plotting capability.

VTK is part of Kitware's collection of supported platforms for software development. The platform is used worldwide in commercial applications, as well as in research and development. For examples, please see VTK in Action .

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The Visualization Toolkit (VTK) is open source software for manipulating and displaying scientific data. It comes with state-of-the-art tools for 3D rendering, a suite of widgets for 3D interaction, and extensive 2D plotting capability. VTK is part of Kitware's collection of supported platforms for software development.

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Unity creators can deploy their projects to 20+ platforms²

downloads per month of Made with Unity applications³

of the top 1,000 games are using Unity to grow their games⁴

When created, when played, every game will be touched by AI. See how Unity Muse can transform the way you create.

Success stories

See how creators and studios around the world have achieved remarkable success with Unity's solutions and services.

Deep resources, dynamic community

Subscription plans

Personal

Bring your vision to life with free access to the most widely used game engine in the world.

Pro

Unlock your team's potential with the tools professionals use to create hit games across devices and platforms.

Enterprise

Manage complex real-time 3D projects with expert support and creation tools that scale for teams of any size.

Disclaimers

1. Creator credits: Bleak Sword DX, More8bit, Devolver Digital | GTFO, 10 Chambers | Laika: Aged Through Blood, Brainwash Gang, Headup Publishing | Muhammad Ali, Showmax Game Changers, Chocolate Tribe | Sea of Stars, Sabotage Studios | BattleBit Remastered, SgtOkiDoki, Vilaskis, TheLiquidHorse

2. As of September 2023. Source: Derived from internal Unity resources.

3. As of September 2023. Source: Internal Unity sources, Data.ai Steam DB. Disclaimer: Downloads number is a combined figure of 3.56 billion mobile downloads based on data.ai data plus an internal estimate of 98 million downloads based on Steam data.

4. Source: data.ai. Disclaimer: Top 1,000 games is top 1,000 gaming apps by downloads in last 4 weeks from data.ai as of February 2023.

Copyright © 2023 Unity Technologies

"Unity", Unity logos, and other Unity trademarks are trademarks or registered trademarks of Unity Technologies or its affiliates in the U.S. and elsewhere ( more info here). Other names or brands are trademarks of their respective owners.

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Unity Real-Time Development Platform | 3D, 2D, VR & AR Engine

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Create and grow real-time 3D games, apps, and experiences for entertainment, film, automotive, architecture, and more. Get started with Unity today.

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Nov 08, 2023

Circumvent the limitations of second-hand data portals: Orange with Dask enables you to process big data sets while ensuring the source's authenticity and enabling custom workflows.

Oct 28, 2023

An experimental version of Orange supports much larger data sets. It never loads the whole data set into the working memory; data is only processed in small chunks. We show a case study on a 13 GB spectroscopy data set.

Oct 24, 2023

Preparing large HDF5 datasets that load into Orange as on-disk data.

Oct 20, 2023

Highlighting our papers from the International Conference on Discovery Science

Visual Programming

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!
Learn more Watch video

Interactive Data Visualization

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.
Learn more

Add-ons Extend Functionality

Use various add-ons available within Orange to mine data from external data sources, perform natural language processing and text mining, conduct network analysis, infer frequent itemset and do association rules mining. Additionally, bioinformaticians and molecular biologists can use Orange to rank genes by their differential expression and perform enrichment analysis. Check out also Orange cousins Single Cell and Quasar.
Watch video

Orange users

When teaching data mining, we like to illustrate rather than only explain. And Orange is great at that. Used at schools, universities and in professional training courses across the world, Orange supports hands-on training and visual illustrations of concepts from data science. There are even widgets that were especially designed for teaching.
Learn more

My laboratory produces large amounts of data from RNA-seq, ChIP-seq and genome resequencing experiments. Orange allows me to analyze my data even though I don't know how to program. It also allows me to communicate with my collaborators, who are experts in data mining, and with my colleagues and trainees.

Gad Shaulsky, Ph.D.
Molecular biologist and Director of Graduate Studies (Baylor College of Medicine, Houston, USA)

The scientific community is in need of tools that allow easy construction of workflows and visualizations and are capable of analyzing large amounts of data. Orange is a powerful platform to perform data analysis and visualization, see data flow and become more productive. It provides a clean, open source platform and the possibility to add further functionality for all fields of science.

Ferenc Borondics, Ph.D.
Principal beamline scientist at SMIS (SOLEIL synchrotron, France)

I teach Orange workshops monthly to a diverse audience, from undergrad students to expert researchers. Orange is very intuitive, and, by the end of the workshop, the participants are able to perform complex data visualization and basic machine learning analyses. Most of our attendees have been able to incorporate this tool in their research practice.

Francesca Vitali, Ph.D.
Research Assistant Professor (Center for Biomedical Informatics & Biostatistics, The University of Arizona)

Contribute to Orange

If you love using Orange and want to support us, a donation would be very much appreciated. The funds help us fix bugs, implement new features, provide free educational content, and maintain computational infrastructure.