Open Data Stack
A curated collection of open-source technologies and an accompanying CLI (odctl) for experimenting with modern data architecture and MLOps locally.
Provisioning a local data environment with distributed systems can be highly complex. The Open Data Stack streamlines this process by resolving dependency conflicts, network routing configurations, and integration challenges across tools like Kafka, Spark, Flink, Iceberg, and Airflow. It provides a cohesive, Docker-based blueprint that operates seamlessly out of the box.
Documentation: jaehyeon.me/odctl. It covers every profile with its ports, images and memory limits, the CLI reference, guides and troubleshooting.
Installation
odctl needs Docker running, with 8 to 16 GB of memory, and Python 3.10 or later. Install it into its own environment:
uv tool install odctl
# or
pipx install odctl
Quick Start
odctl init # copy the compose files and settings into ./.odctl
odctl list # show the profiles
odctl up kafka-lite flink-lite spark-lite
odctl down --all
odctl up starts the profiles each one depends on first, here PostgreSQL, SeaweedFS (S3) and the Iceberg REST catalog. See Getting started for more.
Compatibility
From 1.0.0, odctl follows semantic versioning. Within 1.x, command names, option names and profile names do not change or disappear, and a profile keeps the ports it publishes on the host. Minor releases add profiles, services and options, and move bundled images to newer versions. Anything that breaks a working odctl up command waits for 2.0.
Related reading
Blog posts about odctl and the projects built on it are tagged odctl on jaehyeon.me.
Projects that use odctl:
- benchtop: hands-on data engineering and machine learning demos that run locally, each on the odctl stack.
- dynamic-des: a SimPy library for simulations that stream to Kafka, PostgreSQL, Redis and Iceberg; its examples and integration tests run their infrastructure with odctl.
- agentic-analytics-system: conversational analytics over an Iceberg lakehouse, with Trino, Iceberg and object storage started by odctl.
Development
Pull requests are welcome. To work on the CLI:
- Clone the repository and install uv.
- Install the dependencies and the project in development mode:
uv sync - Install the pre-commit hooks, which run the formatting and type checks:
uvx pre-commit install
- Run the tests:
uv run pytest tests/
- Build the documentation site, then serve it while you edit. It is served at
http://127.0.0.1:8000/odctl/:uv run mkdocs build --strict uv run mkdocs serve
The profile pages and the CLI reference are generated by scripts/gen_pages.py during the build, so edit registry.yml, the compose files or the commands rather than those pages.
License
This project is licensed under the Apache License 2.0. See the LICENSE file for details.
1 maintainer
Metadata
1 maintainer
Release files for odctl 1.0.0
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Source distribution (sdist)
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Built distribution (wheel)
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|---|---|---|---|---|
| odctl-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 682.1 kB
Release files / odctl-1.0.0.tar.gz
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| Tags | Source |
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| Download URL | odctl-1.0.0-py3-none-any.whl |
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| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
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