I built a local data lake for AI powered data engineering and analytics

I got tired of the overhead required to run even a simple data analysis - cloud setup, ETL pipelines, orchestration, cost monitoring - so I built a fully local data-stack/IDE where I can write SQL/Py, run it, see results, and iterate quickly and interactively.

You get data lake like catalog, zero-ETL, lineage, versioning, and analytics running entirely on your machine. You can import from a database, webpage, CSV, etc. and query in natural language or do your own work in SQL/Pyspark. Connect to local models like Gemma or cloud LLMs like Claude for querying and analysis. You don’t have to setup local LLMs, it comes built in.

This is completely free. No cloud account required.

Downloading the software - https://getnile.ai/downloads

Watch a demo - https://www.youtube.com/watch?v=C6qSFLylryk

Check the code repo - https://github.com/NileData/local

This is still early and I'd genuinely love your feedback on what's broken, what's missing, and if you find this useful for your data and analytics work.