simonwillison.net

12 Python Data Visualization Libraries to Explore for Business Analysis | Mode

This list is an overview of 10 interdisciplinary Python data visualization libraries including matplotlib, Seaborn, Plotly, Bokeh, pygal, geoplotlib, & more.

https://mode.com/blog/python-data-visualization-libraries social preview image

ieeexplore.ieee.org

Matplotlib: A 2D Graphics Environment

Matplotlib is a 2D graphics package used for Python for application development, interactive scripting,and publication-quality image generation across user interfaces and operating systems

github.com

Rich-Harris/pancake

Experimental charting library for Svelte

github.com

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

https://github.com/observablehq/plot social preview image

bsky.app

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/

metapage.io

Python interactive plotting

Generate interactive plots with python

handsondataviz.org

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.

github.com

chartgerink - Overview

chartgerink has 41 repositories available. Follow their code on GitHub.

https://github.com/chartgerink social preview image

deno.com

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.

https://deno.com/blog/exploring-art-with-typescript-and-jupyter social preview image

graphdrawing.github.io

The 34th International Symposium on Graph Drawing and Network Visualization

The 34th International Symposium on Graph Drawing and Network Visualization will be held at Brock University in St. Catharines, Ontario, Canada from August 17-21, 2026. A PhD school will take place on August 17-18, 2026.