This list is an overview of 10 interdisciplinary Python data visualization libraries including matplotlib, Seaborn, Plotly, Bokeh, pygal, geoplotlib, & more.
An AI Agent Published a Hit Piece on Me
Scott Shambaugh helps maintain the excellent and venerable matplotlib Python charting library, including taking on the thankless task of triaging and reviewing incoming pull requests. A GitHub account called @crabby-rathbun …
Open source Business Intelligence and Embedded Analytics
Metabase open source business intelligence and embedded analytics. Create and share dashboards. Dig deeper into your data with no-code tools for data visualization.
GitHub - observablehq/plot: A concise API for exploratory data visualization implementing a layered grammar of graphics
A concise API for exploratory data visualization implementing a layered grammar of graphics - observablehq/plot
An Award-winning Data Visualization Designer
Visual Cinnamon | Data Visualization Design & Data Art | Data made insightful, effective & beautiful through data visualization and data art
Cosmograph: Beautiful Visualization and Analytics | Cosmograph
Beautiful Visualization and Analytics
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.
On power, aesthetics, materiality and change in data visualization
Notes from the Information+ Conference at MIT/Northeastern University, Boston.
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.
Code Galaxies Visualization
Code galaxies visualization allows you to explore huge graphs of software package managers (npm, go, ruby gems, composer, etc.)
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.
bsky charts (@bskycharts.edavis.dev)
posting unofficial charts of bluesky network activity 🤖📈 more at https://bskycharts.edavis.dev/bluesky-day.html chart guide: https://edavis.dev/notes/bskycharts-guide/
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
bskycharts.edavis.dev (Munin :: edavis.dev :: bskycharts.edavis.dev)
Overview :: edavis.dev :: bskycharts.edavis.dev