VisQuill lets you explore data through interactive visuals or build your own using a reactive geometry SDK. Create geospatial and interactive visual systems with real-time updates.
GitHub - HEmile/juggl: An interactive, stylable and expandable graph view for Obsidian. Juggl is designed as an advanced 'local' graph view, where you can juggle all your thoughts with ease.
An interactive, stylable and expandable graph view for Obsidian. Juggl is designed as an advanced 'local' graph view, where you can juggle all your thoughts with ease. - GitHub - H...
Observable Canvases | Explore and visualize data together
Observable’s collaborative data canvas helps you explore data, perform analysis, and build expressive charts and dashboards.
An Award-winning Data Visualization Designer
Visual Cinnamon | Data Visualization Design & Data Art | Data made insightful, effective & beautiful through data visualization and data art
Introducing Observable Canvases
A new way to explore, visualize, and collaborate with data — all in one shared canvas.
Exploring Art with TypeScript, Jupyter, Polars, and Observable Plot | Deno
With Deno's Jupyter support, you can explore, interact, and create interactive charts with TypeScript and HTML. Here's a tutorial featuring data of over 130,000 famous artworks.
Hive Plots - Linear Layout for Network Visualization - Visually Interpreting Network Structure and Content Made Possible
the hive plot is a perceptually uniform and scalable linear layout visualization for network visual analytics
convex-backend/LICENSE.md at main · get-convex/convex-backend
The open-source reactive database for app developers - get-convex/convex-backend
Who needs Graphviz when you can build it yourself?
Exploring a new layout algorithm for control flow graphs.
Chart Design Principles | Hands-On Data Visualization
Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with easy drag-and-drop tools, such as Google Sheets, Datawrapper, and Tableau Public. You will also gradually learn how to edit open-source code templates built with Chart.js, Highcharts, and Leaflet on GitHub. Follow along with the step-by-step tutorials, real-world examples, and online resources. This book is ideal for students, non-profit organizations, small business owners, local governments, journalists, academics, or anyone who wants to tell their story and show the data. No coding experience is required.
A checklist for designing and improving the visualization of scientific data
Creating clear and engaging scientific figures is crucial to communicate complex data. In this Comment, I condense principles from design, visual perception and data visualization research in a checklist that can help researchers to improve their data visualization, by focusing on clarity, accessibility and design best practices.
ggsql: A grammar of graphics for SQL
Introducing ggsql, a grammar of graphics for SQL that lets you describe visualizations directly inside SQL queries.
