10 Years of Open-Source 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

Observable

Observable notebooks are lightweight documents that let you think, explore, and explain with code. Quick to sketch and infinitely flexible, use them to analyze or visualize data, craft beautiful explanations, and support data-driven workflows with custom apps.

Introducing Observable Canvases

A new way to explore, visualize, and collaborate with data — all in one shared canvas.

Observable Canvases | Explore and visualize data together

Observable’s collaborative data canvas helps you explore data, perform analysis, and build expressive charts and dashboards.

Cosmograph: Beautiful Visualization and Analytics | Cosmograph

Beautiful Visualization and Analytics

On power, aesthetics, materiality and change in data visualization

Notes from the Information+ Conference at MIT/Northeastern University, Boston.

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.

Observable Notebooks 2.0 Technology Preview | Observable

The future of notebooks 📓🔮 is here. We’re building the next generation of Observable Notebooks, and we’re excited to share a technology preview that you can start using today. 🚀

An Award-winning Data Visualization Designer

Visual Cinnamon | Data Visualization Design & Data Art | Data made insightful, effective & beautiful through data visualization and data art

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.

Slides

An Observable notebook by Tom Larkworthy

The new way we’ll do science

Papers should become human-readable views over a graph of data, tools, results, and certificates.

D3

The JavaScript library for bespoke data visualization

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.

On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges

We present an overview of the last ten years of research on visualizations that support close and distant reading of textual data in the digital humanities. We look at various works published within both the visualization and digital humanities