Neuralfoil

In a recent whitepaper, NeuralFoil optimized an airfoil for a human-powered aircraft in just 30 seconds —a process that would typically take much longer with manual refinement. Integrating with the Ecosystem

You don't need a Fortran compiler. You just need Python. neuralfoil

For years, XFoil has been the "gold standard" for subsonic airfoil analysis. While it remains highly accurate, its architecture (written in Fortran) makes it difficult to integrate into modern, vectorized Python workflows. NeuralFoil Moderate (~seconds) Ultra-Fast (~5 milliseconds) Convergence Can fail/crash Always returns a result Vectorization Not supported Native (process thousands of cases at once) Gradients Numerical (slow/noisy) Automatic (exact/fast) Typical Error ~0.37% to 2.0% relative to XFoil Real-World Applications In a recent whitepaper, NeuralFoil optimized an airfoil