Coding May 2, 2026 2 min read Hacker News (Top) EN

Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks

A conversational AI tool is redefining data analysis, allowing users to interact with data in natural language, generate executable Python code, and produce reproducible notebooks that can be inspected, modified, and rerun. The desktop app, MLJAR Studio, automates local Python environment setup, installs missing packages, and supports AutoML for tabular data, standard libraries, and various data file formats, as well as multiple database connections. This innovative approach streamlines data analysis workflows. AI-assisted, human-reviewed.

Coding

Hi HN, I’ve been working on mljar-supervised (open-source AutoML for tabular data) for a few years. Recently I built a desktop app around it called MLJAR Studio. The idea is simple: you talk to your data in natural language, the AI generates Python code, executes it locally, and the whole conversation becomes a reproducible notebook (*.ipynb file). So instead of just chatting with data, you end up with something you can inspect, modify, and rerun. What MLJAR Studio does: - Sets up a local Python environment automatically, runs on Mac, Windows, and Linux - Installs missing packages during the conversation - Built-in AutoML for tabular data (classification, regression, multiclass) - Works with standard Python libraries (pandas, matplotlib, etc.) - Works with any data file: CSV, Excel, Stata, Parquet ... - Connects to PostgreSQL, MySQL, SQL Server, Snowflake, Databricks, and Supabase. For A

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