coding
Elodin AI Grand Prix Harness
Open-source autonomous drone-racing sim harness for writing and testing AI autopilot code before Anduril's $500K competition.
6.5 /10
Pricing
Free / Open Source
$0
- Full simulation stack
- Python autopilot API
- 3D telemetry editor
- macOS and Linux support
- Betaflight integration
Key Features
- Rust ECS + JIT-compiled physics core (nox) with Python bindings for autopilot scripting
- 3D editor with live GLB model binding and real-time telemetry visualization
- Elodin-db time-series telemetry database over TCP
- Betaflight flight-controller integration for realistic quadcopter dynamics
- Designed as practice rig for Anduril AI Grand Prix Virtual Qualifier
Pros & Cons
Pros
- Genuinely open-source with a working, deployable stack out of the box
- Fast setup — uv sync plus a short Betaflight build gets you running in under 30 minutes
- Physics core grounded in real flight data from drone, satellite, and missile customers
- Rust core delivers high-performance deterministic simulation compared to Python-heavy alternatives
Cons
- Extremely narrow audience — relevant mainly to Anduril AI Grand Prix contestants and aerospace hobbyists
- Official Virtual Qualifier 1 simulator not yet released, so parity with the competition environment is unconfirmed
- WSL support described as 'workable' rather than fully supported
- Sparse documentation beyond the blog post; depends on the companion GitHub repo
A well-engineered niche tool from a credible aerospace-simulation company, purpose-built for the Anduril $500K autonomous drone-racing competition. If you are entering the AI Grand Prix it is the obvious starting point; for everyone else it is an interesting technical artifact but has essentially no practical relevance today.
Try Elodin AI Grand Prix Harness →Added to scored.tools on
Competitors to Elodin AI Grand Prix Harness
Other tools in the coding category worth comparing.