Docker Image for Data Science — Reproducible JupyterLab + MLflow Stack (Python 3.12.7, pinned, non-root, multi-stage)

Reproducible data-science stack: 3 multi-stage, non-root, pinned images (JupyterLab / papermill batch runner / MLflow server) plus a 4-service compose file, 23-variable .env, Makefile, smoke-test notebook and README — 16 files.

Files

Dockerfile

Dockerfile.batch

Dockerfile.mlflow

compose.yaml

requirements.lab.txt

requirements.batch.txt

requirements.mlflow.txt

requirements.user.txt

.env.example

jupyter_server_config.py

.dockerignore

Makefile

scripts/run_batch.sh

notebooks/00_smoke_test.ipynb

README.md

CHANGELOG.md

Get the complete version $19

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

3 multi-stage images · 4 compose services · 33 pinned library versions · 23 settings in one .env — every FROM line carries an exact version tag, so the rebuild you run next year resolves the

Measured on this shelf: a rival paid Docker data-science stack sells at USD 19 today, which is the price here. We publish no 'a consultant would charge X' figure because we have not measured one.

Send it to me

Docker Image for Data Science — Reproducible JupyterLab + MLflow Stack (Python 3.12.7, pinned, non-root, multi-stage)

Run

Files

Get the complete version $19

More from ReadyStack