Data Science Docker Image — JupyterLab 4 + Python 3.12 Analytics Stack (non-root, Postgres 16, 26 pinned packages, headless papermill runs)

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.

Files

Dockerfile

requirements.lock.txt

scripts/entrypoint.sh

scripts/healthcheck.sh

config/jupyter_server_config.py

config/matplotlibrc

jupytext.toml

compose.yaml

.env.example

db/init/01-analytics.sql

notebooks/00-start-here.ipynb

Makefile

.dockerignore

README.md

Get the complete version $19

This page is the working piece. The full pack has everything below.

14 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

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

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Data Science Docker Image — JupyterLab 4 + Python 3.12 Analytics Stack (non-root, Postgres 16, 26 pinned packages, headless papermill runs)

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Files

Get the complete version $19

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