Tutorials
These tutorials follow one path, from opening your first table to building your own annotation interface. Each one takes a few minutes and builds on the previous ones, so start with the first one even if you plan to write code later.
Get started
Open your data in Metanno and annotate it, with a cell to copy at most.
Annotate a table
Open a pandas table in a Metanno tab, annotate it and read your annotations in Python.
Browse a database
Connect a database and explore its tables from the JupyterLab sidebar.
Annotate a corpus
Select notes in a database, pre-annotate them with EDS-NLP, then review them with your annotators.
Pick documents
Turn a query on your database into an annotation file.
Pre-annotate
Find entities with EDS-NLP, so annotators only check them.
Review entities
Write a view showing each note with its entities highlighted.
Customize the interface
Build the interface your annotators need, and use it outside JupyterLab.
Design your view
Arrange panels, forms and keyboard shortcuts around the text.
Annotate across levels
Decide on patients while reading their notes and entities.
Custom widgets
Put your own components next to the factory widgets. Work in progress.
Outside JupyterLab
Show a view in a notebook output, or serve it as a web app.