wtf is vega?

Vega lets you describe data visualizations in a simple text format (JSON) and have them render as interactive graphics in a browser. Instead of writing code to draw charts piece by piece, you write a description of what you want, the data, the marks, the axes, and the system produces the visual output automatically. The core idea is that you declare what the visualization should look like, not how to draw it. You provide a JSON specification that describes things like which data fields map to the x and y axes, what shapes or marks represent each data point, and how users can interact with the result. The engine then takes that description and generates the visualization using either SVG (vector graphics that scale cleanly) or HTML5 Canvas (faster for large datasets). This declarative approach means you can save, share, and modify visualization designs just by editing the text file. This is useful for data analysts, journalists, researchers, or anyone who needs to produce charts and interactive graphics from data without diving into low-level graphics programming. For example, a news organization could use it to build an interactive election map, or a data scientist could share a visualization design with colleagues by sending them the JSON specification. The project's website offers tutorials and a gallery of examples ranging from basic bar charts to complex interactive dashboards. The project is structured as a monorepo (multiple related packages managed together) using Yarn workspaces. It also includes an ES5-compatible build for older browsers that don't support modern JavaScript features. The repository bundles the project's own website and documentation, so contributors can preview changes locally before submitting them. Performance benchmarks and a public roadmap are available for those who want to understand where the project is headed.