PocketML vs EMWaver

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!

EMWaver is a local-first electronics lab for iPhone and iPad. Connect a supported ESP32-S3 or STM32-based board, run JavaScript scripts, inspect device signals, manage bundled firmware, and use optional Agent assistance with your own API key. Local hardware control does not require an EMWaver account, cloud activation, hosted relay, subscription, or device ownership check. Scripts and core device workflows stay on your device by default. Use EMWaver to: • Run local scripts against supported microcontroller boards • Inspect device state and hardware signals from a mobile-first interface • Manage app-bundled firmware workflows for supported targets • Keep script-first hardware experiments out of the compile/flash/debug loop • Ask the optional Agent for script and troubleshooting help when you provide an API key EMWaver is open-source and built by Continual MI.