GraphAlg Playground: An Online Platform for Learning and Experimenting with the GraphAlg Language

2026-06-03

AI Summary

This work addresses the lack of accessible learning and experimentation environments for the GraphAlg language by presenting the first fully browser-based online platform. The platform enables users to write and execute GraphAlg programs directly in the browser without any installation, while integrating interactive tutorials to facilitate onboarding for beginners and rapid prototyping for experts. Built upon modern web frontend technologies, it incorporates a custom GraphAlg interpreter and an in-browser execution engine, unifying educational support and algorithm development within a single interface. The system has been open-sourced and publicly deployed, significantly lowering the barrier to entry for learning GraphAlg and reducing the cost of graph algorithm validation.

Abstract

The GraphAlg language for graph algorithms enables native support for user-defined graph analytics workloads in databases. In this demonstration, we present a web-based playground for writing and executing GraphAlg programs in the web browser, including an interactive tutorial explaining its key concepts. The playground runs inside the user's web browser without any installation, and is freely available under a permissive license as a reusable library. We present two demonstration scenarios of the publicly available playground website, showing how new users can learn to program in GraphAlg using the tutorial, while expert users can use the playground to prototype and validate their algorithms.

Problem

• GraphAlg
• graph algorithms
• online playground
• web-based learning
• algorithm prototyping

Innovation

• GraphAlg
• web-based playground
• in-browser execution
• interactive tutorial
• graph algorithms