MLJAR Studio
Private AI data analyst and machine learning engineer that runs 100% locally on your computer.
Opens mljar.com in a new tab.
How the 5.2 was reached
- Quality of output5/10
Generates code, charts and notebooks per the vendor; the only independent evidence is 4,352 stars on the related Mercury repo. Source: github.com
- Ease of use7/10
Free plan of 50 prompts/month, runs fully locally with no external API needed; docs exist. Source: mljar.com
- Pricing value7/10
Free plan, Pro $20/month, Business $60/month, or $199 perpetual license with local LLMs. Source: mljar.com
- API and integration quality2/10
No API or integrations found on the homepage, pricing, docs or by search. Source: mljar.com
- Solves the problem it claims to solve5/10
Plain-English data analysis to notebooks is described by the vendor; the independent evidence covers only the related Mercury project. Source: mljar.com
5.2/10 is the average of the five criterion scores above. The evidence comes from 4 different sources.Scores come from public evidence (the tool's own pages and documentation, and independent reviews); we do not test every tool hands-on. Scored 29 September 2026, on version 1 of our five-criteria scoring method.
Pricing
- Full local access
- AI data analysis
- AutoML experiments
- No data upload required
- Private AI data analyst
- Local machine learning
- Automated experiments
- Code generation and editing
For the full list of what each plan includes, and current prices, see mljar.com.
Key Features
- Natural language data querying
- Automated machine learning experiments
- Local Python code generation
- Conversational notebooks
- Model comparison and tracking
Pros & Cons
Pros
- Runs completely offline for data privacy
- Natural language interface for data analysis
- Automated ML model experimentation
- Code remains visible and editable
Cons
- Limited pricing transparency
- Requires local computational resources
- May have learning curve for non-technical users
- Desktop-only solution
MLJAR Studio turns plain-English requests into code, charts and notebooks, and runs locally with no external API needed, which suits privacy-minded analysts. No API or integrations were found, and independent proof of output quality is thin.
Added to scored.tools on
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