It uses Crate as backend database for storage and the API can be served from a local machine or server that runs Python.
Requirements: CrateDB installed and started
DB Schema: /setup/schema.sql
cd backend/
python3.6 -m venv env
source env/bin/activate
pip install -e .Run the backend API with:
appyarn
yarn start- Task synchronisation
- Markdown support
- increment stars
- multi select (drag & drop, delete, etc.)
- keyboard shortcuts
