⚽ Football Emporium ⚽

Search through football match results from 2010 to 2026 with a web interface.

• Based on openfootball json data.
• Powered by Rust and Axum on the backend and Vue.js on the frontend.
• Builds its own custom in-memory database. No DB setup required.
• Match results can be filtered cumulatively and paginated from the Vue.js app on the frontend.

Installing

• The app requires Rust build system for the backend and Node.js + npm build system for the frontend.
• The Rust build script build.rs will automatically build the frontend along with the backend but for the first time, navigate to ui directory and run:
  • npm install
• Make a copy of .env.example as .env. Contents can stay the same for development environment as there're no secrets in .env because we use an internal in-memory database built from scratch with the json file data.

Why not use a prod-ready in memory database library?

Mainly for practice purposes. I wanted to utilize Rust collection types like HashMap, BTreeMap in a real-world setting. Otherwise it would be wise to use a well-done system like SurrealDB, TinyDB, Redis, Postgres or something similar.

License

MIT