PocketML vs FrankenSim

PocketML is an easy-to-use app for training and using machine learning models. It starts with linear regression to help users understand data and make predictions. PocketML is great for those interested in practical machine learning in a user-friendly way. Features: Data Table: Create, edit, and handle data tables in the app, including .xls file import. Graphs: Shows data and linear regression visually in an interactive way. Simple Interface: Great for beginners and experienced users in machine learning. DarkMode: For late science :) Models: - Linear Regression - Polynomial Regression More models are coming soon!

Carry a working numerical laboratory on your iPhone, iPad, or Mac. FrankenSim contains forty-three native experiments drawn from the FrankenSim Rust workspace. Each one runs a real local kernel and pairs the result with an interactive visualization and a concise account of what was computed. Explore heat diffusion, spectral waves, Lorenz dynamics, Gray-Scott reaction diffusion, fluid flow, smoke, topology optimization, signed-distance geometry, isosurfaces, Gaussian-process optimization, randomized linear algebra, symplectic orbits, computational geometry, interval-certified fractals, and more. The library is organized from foundations through deep experiments, end-to-end campaigns, and three larger flagships. Evidence labels distinguish a computed result from an illustration, approximation, bound, or certified conclusion. The theory atlas explains the equations and numerical ideas behind the displays. Every experiment runs on the device. FrankenSim has no account, advertising, tracking, cloud compute, or required network connection.