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

Private AI for Data Work

AI for Data Analysis

  • Talk to your data using natural language
  • Let AI run machine learning experiments for you
  • Keep everything 100% local and secure.
Start 7-day trialRead documentationMLJAR Studio notebook interface1-min explainer

Users & Companies

Teams in academia and industry build with MLJAR

From research labs to fast-moving product teams, people rely on MLJAR to analyze data and ship insights.

Work With Your Own AI Data Analyst

Ask questions. Get answers. Instantly.

  • Ask questions about your data in natural language
  • Automatically generate and run Python analysis
  • Inspect and edit the code anytime
  • No external APIs required
MLJAR Studio AI Data Analyst conversational notebook

Let AI Run Machine Learning Experiments

Automate your machine learning research

  • Automatically tune machine learning models
  • Discover useful new features in your data
  • Compare models and track experiments
  • Generate explanations and reports
MLJAR Studio machine learning experiments and model workflow

AI Assistance Inside Your Notebook

Code faster with AI by your side

  • Smart Python suggestions
  • Faster data exploration
  • Full control over execution
  • Perfect for beginners and experts
MLJAR Studio classic notebook with AI assistant in the sidebar

Turn Your Analysis into Interactive Apps

Share your results as interactive web apps

  • Convert notebooks to web apps
  • Self-host on your own server
  • Share results with colleagues
  • No cloud services required
Check GitHubRead the DocsMLJAR Mercury interface showing a Python notebook transformed into an interactive web app for sharing analysis

Why MLJAR Studio Is Different

Built for privacy, control, and real data work

Most AI tools require sending your data to the cloud. MLJAR Studio works differently. Everything runs on your machine, using real Python execution and fully reproducible notebooks.

100% local execution

Your data never leaves your computer.

Real Python environment

Not a toy interface - a full data science workspace.

Fully reproducible workflows

Every result can be reproduced from code.

Self-hosted deployment

Share results without relying on external services.

Applied in Real-World Data Projects

MLJAR tools have been used in a wide range of machine learning projects, including healthcare data analysis, financial modeling, manufacturing optimization, and many structured data problems.

  • Healthcare
  • Manufacturing
  • Biotechnology
  • NLP
  • Pharma
  • AutoML
  • Computer Vision
  • Cybersecurity
  • Education
  • Green AI
  • Mathematics
  • Physics

Built for people who work with data

MLJAR Studio is perfect for:

Data analysts exploring datasets

Move faster with AI assistance, visual exploration, and notebook-friendly workflows.

Data scientists running experiments

Iterate with reproducible pipelines, model comparisons, and transparent Python execution.

Researchers working with sensitive data

Keep projects local while maintaining auditability and reproducibility.

Teams that want AI without cloud risks

Use AI capabilities in a controlled environment without exposing data to external services.

Answers to Common Questions

Start using AI for Data Analysis

MLJAR Studio helps you analyze data with AI, run machine learning workflows, and build reproducible notebook-based results on your own computer.

Runs locally • Supports local LLMs

Start Free TrialView Documentation