Interactive web-based visualizations of sorting and pathfinding algorithms, built entirely with Rust.
Algorust is an interactive website that visualizes various algorithms, including sorting and pathfinding algorithms, through step-by-step execution. It allows users to see how algorithms like quicksort or Dijkstra's algorithm work by interacting with visual representations of data structures. The project is built entirely with Rust, using the Yew framework for the frontend.
Developers and students learning algorithms who want interactive, visual explanations of how sorting and pathfinding algorithms operate. It's also relevant for Rust enthusiasts interested in web development with Yew and WebAssembly.
Algorust provides an engaging, visual way to understand complex algorithms, making it easier to grasp their mechanics compared to static explanations. Its unique selling point is being built entirely in Rust, demonstrating Rust's capabilities in creating interactive web applications without JavaScript.
Various algorithms visualized interactively on the web, entirely with Rust 🦀
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Users can control algorithm execution with a slider, seeing data structures like bar graphs and labyrinths update in real-time, enhancing understanding of each step, as shown in the README images.
Built entirely with Rust and the Yew framework, it serves as a practical example of using Rust for frontend web development without JavaScript, demonstrating Rust's versatility.
Includes details such as whether algorithms are weighted or guarantee shortest paths, providing contextual learning for pathfinding algorithms like Dijkstra and A*.
Focuses on making complex algorithms accessible through visual representations, ideal for self-study or teaching environments with interactive feedback.
Currently only supports sorting and pathfinding algorithms, with no built-in support for other categories, as admitted in the README with 'more coming soon', limiting its scope.
Contributing or customizing requires proficiency in Rust and the Yew framework, which may deter developers more familiar with JavaScript-based web technologies, adding a steep learning curve.
The README lacks detailed instructions for local development or deployment, making it challenging for users to run or modify the project independently without additional research.