M2E3D discovers equations, models and correlations underpinning experimental data. It builds on the fantastic PySR and fvGP libraries to offer a user-facing package for: Discovering symbolic closed-form equations that model multiple responses. Efficient parameter sampling for planning experimental / simulational campaigns. System multi-response uncertainty quantification - and specifically targeting high-variance parameter regions. Automatic parallelisation of complex user simulation scripts on OS Processes and distributed supercomputers. Interactive plotting of responses, uncertainties, discovered model outputs. Language-agnostic saving of results found. M2E3D was developed to discover physical laws and correlations in chemical engineering, but it is data-agnostic - and works with both simulated and experimental results in any domain.