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.

Run

docker compose up -d

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