Supported by intuitive design and machine learning
Designed to help players improve their gameplay performance, Stratosphere is an analytics platform for the competitive car-soccer video game Rocket League. With its intuitive website and in-game overlay mod, Stratosphere provides players with comprehensive match analytics and machine-learned insights. By uploading match data generated by Rocket League, players can access a wealth of statistics, such as team comparisons, positioning heatmaps, goal-shot ratio, and more. We utilized a microservices architecture in our development for greater flexibility and scalability. Our frontend was developed with React and C++. Our backend was developed using Apollo GraphQL as its API gateway, Docker for deployment and infrastructure, and RESTful services using FastAPI with PostgreSQL and MongoDB for data persistence.
Make sure you have Docker installed and is running, and meet the recommended system requirements
- Clone the repo.
git clone https://github.com/stratosphererl/stratosphere.git - Create .env by copying template.
cp template.env .env - CD to
/gqland npm install packages.cd gql && npm i && cd ../ - Run
docker compose up -d - CD to webapp and run
npm i && npm run dev