A working, pinned Docker Compose stack for local data analytics. Not a link dump - the integration layer, done for you.

WHAT YOU GET

• docker-compose.yml and environment template
• README quickstart
• verify.sh - checks services are serving
• RUNBOOK.md - operations, troubleshooting, backups
• fetch-sources.sh - pulls each project at an exact pinned commit
• docs/ - one page per component

WHAT’S INSIDE

DuckDB (MIT) - a full analytical SQL database that runs in-process. Point it at Parquet or CSV files and query them immediately, with no server to run and no data to load first.

Polars (MIT) - multi-threaded dataframes with a lazy query API. Handles datasets that make pandas give up, using far less memory.

WHY THESE TWO

Most data work does not need a cluster. It needs SQL that finishes and a dataframe library that does not fall over on a few million rows. Both run on a laptop, and both stay useful when the data grows.

ALL OPEN SOURCE, ALL PERMISSIVE

Every component is MIT or Apache-2.0. Full attribution with pinned commits included.

REQUIREMENTS

Docker Engine 24+ with Compose v2, or Python 3.11+ if you prefer to install the libraries directly. 4 GB RAM.

Instant delivery. One-time purchase, free updates.