GitHub Repository

A local Python/SQL notebook in the browser for exploring, transforming and visualizing data using WebAssembly.

78 starsTypeScript

Data Studio – Open-Source Data Notebooks

Name: Data Studio – Open-Source Data Notebooks
Availability: InStock
Author: alx-net

by alx-net·Feb 17, 2026·28 points·6 comments

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AI Analysis

●●SolidShip ItSolve My Problem

DuckDB + Pyodide notebooks in-browser, but Jupyter+local and Quarto already do this.

Strengths

•Zero-copy Parquet reads via OPFS—clever use of browser file system for efficient column scanning
•SQL cells materialize as views; Python dataframe interop reduces boilerplate friction
•Live demo works immediately; no auth, no server setup—pure local-first UX

Weaknesses

•Crowded category: Jupyter Notebook, Quarto, Maroofy, Observable already solve this problem well
•No collaboration, no cloud sync, no shared notebooks—purely single-user offline tool
•S3 device marked unstable; Excel editing is nice but niche vs core notebooks feature

Post Description

Hey HN, I am Alex. I am open sourcing Data Studio, a lightweight data exploration IDE in your browser that runs locally.

Try it: https://local.dataspren.com (no account needed, runs locally)

More information: https://github.com/dataspren-analytics/data-studio

I love working with data (Postgres, SQL, DuckDB, DBT, Iceberg, ...). I always wanted a data exploration tool that runs in my browser and just works. Without any infra or privacy concerns (DuckDB UI came quite close).

Features:

- Data Notebooks - SQL cells work like DBT models (they materialize to views)

- Use Python functions inside of SQL queries - Use DB views directly in Python as dataframes

- Transform Excel files with SQL

- You can open .parquet, .csv, .xlsx, .json files nicely formatted

If you like what you see, you can support me with a star on Github.

Happy to hear about your feedback <3