MLJAR Studio: Local AI Data Analyst That Generates Reproducible Notebooks

MLJAR Studio brings a local AI data analyst to your desktop. You ask questions in plain English, the AI generates Python code, runs it locally on your machine, and saves the entire conversation as a reproducible *.ipynb file. No cloud, no data egress – everything runs on your own computer.

Key Features

• Local environment: Sets up a Python environment automatically on Mac, Windows, and Linux, including installing missing packages on the fly.
• AutoML for tabular data: Built-in support for classification, regression, and multiclass tasks using the mljar-supervised library.
• Standard Python stack: Works with pandas, matplotlib, and other common libraries.
• File formats: CSV, Excel, Stata, Parquet, and more.
• Database connections: PostgreSQL, MySQL, SQL Server, Snowflake, Databricks, and Supabase.
• AI backends: Use Ollama locally (zero data egress), bring your own OpenAI key, or use the MLJAR AI add-on.
• Conversational notebooks: Every interaction is recorded as code in a notebook you can inspect, modify, and rerun.
• One-click web apps: Convert notebooks into interactive web applications using Mercury (open-source), self-hosted.

Pricing and Trial

$199 one-time payment with a 7-day free trial. No cloud services required – it's a desktop app that runs entirely locally.

Who It's For

Data analysts, data scientists, and researchers who need privacy, reproducibility, and control when using AI for data analysis – especially those working with sensitive data or wanting to avoid cloud dependencies.