Before revision:  To aid in the experimental study of chaotic systems, we here combine several new mathematical tools into a fully automated processing pipeline, which can accurately assess the presence and degree of chaos in a diverse range of measurements, biological or otherwise, even when those measurements are noisy , and even for difficult edge cases.
After revision:  To aid in the experimental study of chaotic systems, we here combine several new mathematical tools into a fully automated processing pipeline, and show that our pipeline can detect the presence (or absence) of chaos in a diverse range of measurements, biological or otherwise, even when those measurements are noisy , and even for difficult edge cases.