edge-ml is a browser based, end-to-end machine learning framework for time-series data on microcontrollers. Data can be ingested using various methods, including live collection. Labeling is supported in a user-friendly manner with a graphical user interface. Based on the datasets and labels, users can train machine learning models which are deployable onto microcontrollers.