Ultra-lightweight Pandas & OpenPyXL Image

Overview

This is a high-performance, minimalist Docker image designed for Data Engineers who need to process CSV and Excel files in automated pipelines (Kestra, Airflow, GitHub Actions).

Most data science images are bloated (1GB+). This image is built on Python 3.11-slim to keep it under 90MB, reducing deployment time and storage costs.

Why this image?

• No Bloat: Only contains pandas and openpyxl. No unnecessary data science libraries.
• Fast Deployment: Smaller size means faster "pulls" in your CI/CD or Orchestrator.
• Security: Built on stable Debian-slim to minimize the attack surface.
• Transparent: Full Dockerfile available on GitHub.

Security Features (v1.1+)

• Non-Root User: Runs as appuser (UID 1000) by default to follow the Least Privilege Principle.
• Minimal Base: Built on Debian-slim to minimize the attack surface.

Tech Stack

• Base: python:3.11-slim
• Core: pandas (Latest)
• Excel Engine: openpyxl (Latest)

Usage

In Kestra (Orchestrator)

tasks:
  - id: process_data
    type: io.kestra.plugin.scripts.python.Script
    taskRunner:
      type: io.kestra.plugin.scripts.runner.docker.Docker
    containerImage: abguven/pandas-openpyxl:latest
    script: |
      import pandas as pd
      df = pd.read_excel('data.xlsx')
      print(df.head())

Locally

docker pull abguven/pandas-openpyxl:latest
docker run -it abguven/pandas-openpyxl:latest python3

Contributing

Feel free to open issues or pull requests to keep this image updated and efficient.

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Maintained by abguven