A performance dashboard tracking CPython's JIT vs. Interpreter benchmarks.
View live at doesjitgobrrr.com or isthejitfasteryet.com.
- Docker and Docker Compose
- Node.js 20+ (for frontend development)
- Python 3.13+ with uv (for API development)
The easiest way to run the full stack locally:
# Start all services (PostgreSQL, API, Frontend)
docker-compose -f docker-compose.dev.yml upPre-built multi-platform images are available on Docker Hub:
savannahostrowski/doesjitgobrrr-api:latestsavannahostrowski/doesjitgobrrr-frontend:latest
Benchmark data is automatically loaded via GitHub Actions via the update-data.yml workflow. This fetches benchmark results from configured sources, parses the JSON files, and stores them in the PostgreSQL database.
Want to contribute benchmark data from your own hardware? See CONTRIBUTING.md for instructions on adding your machines to the dashboard.
MIT