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

Hacker News pplonski86 0 переглядів 4 хв читання

Private AI for Data Work

AI for Data AnalysisMLJAR Studio is your fully private AI Data Analyst and Machine Learning Engineer that runs 100% locally on your computer. Talk to your data in natural language, automatically build machine learning models, and generate actionable insights.No cloud. No data leaks. Just results.
  • 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.

User logo - EPFLUser logo - EsriUser logo - HostUser logo - LondonUser logo - PWUser logo - STMUUser logo - AeroCoreUser logo - Wison EngineeringUser logo - Collegium Medicum UJUser logo - Fudan UniversityUser logo - UAEU College of Medicine and Health SciencesUser logo - KNUCH

Work With Your Own AI Data Analyst

Ask questions. Get answers. Instantly.

MLJAR Studio includes an AI assistant that understands your data and helps you explore it.
Ask questions in plain language and the AI will generate Python code, run it locally, and show the results.
You stay fully in control — every line of code is visible and reproducible.
  • Ask questions about your data in natural language
  • Automatically generate and run Python analysis
  • Inspect and edit the code anytime
  • No external APIs required
Conversational notebookMLJAR Studio AI Data Analyst conversational notebook

Let AI Run Machine Learning Experiments

Automate your machine learning research

Building good machine learning models requires many experiments. MLJAR Studio can run these experiments for you.
Its AI agent improves notebooks step-by-step, testing new ideas and searching for better models.
  • Automatically tune machine learning models
  • Discover useful new features in your data
  • Compare models and track experiments
  • Generate explanations and reports
AI experiment agentAutoMLMLJAR Studio machine learning experiments and model workflow

AI Assistance Inside Your Notebook

Code faster with AI by your side

When working in notebooks, the AI assistant helps you write and improve code.
It suggests Python snippets, data transformations, and visualizations — but you always decide what runs.
  • Smart Python suggestions
  • Faster data exploration
  • Full control over execution
  • Perfect for beginners and experts
Notebook + AI sidebarMLJAR Studio classic notebook with AI assistant in the sidebar

Turn Your Analysis into Interactive Apps

Share your results as interactive web apps

With one click you can turn your notebook into a web application.
Share dashboards, reports, and tools with your team - all hosted on your own infrastructure.
Powered by Mercury, our open-source framework.
  • Convert notebooks to web apps
  • Self-host on your own server
  • Share results with colleagues
  • No cloud services required
Check GitHubRead the DocsPowered by MercuryMLJAR 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.

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

Does MLJAR Studio require cloud services?

Can I use local AI models?

Do I need programming experience?

Is MLJAR Studio just an AI tool?

What type of data can I analyze?

Can I share my analysis with others?

Is MLJAR Studio open source?

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
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