Getting started
Quick start guide
MLJAR Studio helps you analyze data faster on your own computer. Explore datasets, ask questions, and build analysis with AI - without uploads or complex setup.
You can work in three ways: conversational notebooks (AI Data Analyst), AutoLab Experiments for autonomous ML optimization, and AI Code Assistant for faster Python development.
AI Data Analyst
Ask in plain English and get instant insights.
AutoLab Experiments
Run autonomous machine learning experiments.
AI Code Assistant
Generate, review, and refine Python code.
MLJAR Studio prepares the Python environment automatically, so you can focus on data instead of dependencies. Ask questions and get charts, explanations, and code instantly. Beginners can start quickly, while advanced users keep full control.
Your work is saved as notebook files you can reuse, share, and continue anytime. MLJAR Studio runs locally, so your data stays on your machine.
It also includes ready-to-use recipes for exploration, preparation, and machine learning tasks.
Start with a simple dataset and your first question, then build your analysis step by step.