A pinned, multi-stage, non-root JupyterLab 4 data science image (26 exact package versions) plus a compose stack with Postgres 16 and a headless papermill batch runner, where every setting is an environment variable the buyer owns and the notebook token is never blanked.
docker compose up -d
Dockerfilerequirements.lock.txtscripts/entrypoint.shscripts/healthcheck.shconfig/jupyter_server_config.pyconfig/matplotlibrcjupytext.tomlcompose.yaml.env.exampledb/init/01-analytics.sqlnotebooks/00-start-here.ipynbMakefile.dockerignoreREADME.md14 files, 26 Python packages and 2 image tags pinned to exact versions, zero `latest`: 3 commands from an empty folder to JupyterLab reading your own CSVs, writing to Postgres 16 and saving
One payment, one licence key for this tool. The key is shown right after payment.
Measured on this shelf right now: a comparable ready-to-run data science image is being sold at 19 USD. We deliberately quote no analyst-hour or cloud-notebook figure, because we have no measured one — every number in this listing
Buy the full version — $19