alphaville/optimization-engine

Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support

79
/ 100
Verified

This project helps robotics engineers and control system designers quickly develop and deploy highly efficient optimization algorithms for real-time control. It takes your defined system dynamics, costs, and constraints, then automatically generates optimized code to control robots or autonomous vehicles. It's designed for engineers working on advanced manufacturing, autonomous vehicles (aerial or ground), and other complex robotic systems.

617 stars and 14,803 monthly downloads. Actively maintained with 240 commits in the last 30 days.

Use this if you need to implement fast, embedded nonlinear model predictive control or moving horizon estimation for robotics and autonomous systems.

Not ideal if your optimization problems are convex and you don't require real-time embedded performance on resource-constrained devices, or if you are not working in robotics or control systems.

robotics autonomous-systems control-systems embedded-systems model-predictive-control
No Package No Dependents
Maintenance 25 / 25
Adoption 20 / 25
Maturity 16 / 25
Community 18 / 25

How are scores calculated?

Stars

617

Forks

67

Language

Rust

License

Last pushed

Mar 17, 2026

Monthly downloads

14,803

Commits (30d)

240

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