MLJAR Studio
Summary
MLJAR Studio is a workspace for data analysis, machine-learning experiments, and Python notebooks that runs on Linux, macOS, Windows, or self-hosted environments. Ask questions in plain language and it generates Python analysis while leaving the code visible and editable. Its experiment agent can tune models, identify features, compare models, track experiments, and create reports. Studio works with CSV, Excel, and Parquet files, as well as SQL databases including PostgreSQL, ClickHouse, and MySQL. Notebooks can be turned into interactive web apps with Mercury and hosted on your own infrastructure. Processing is local by default; data may go to an outside provider if you configure one or enable the MLJAR AI cloud add-on. With OpenAI configured, prompts and relevant context may be sent under your settings and provider terms. The Free plan is available; Pro is 20.00 USD per month and Business is 60.00 USD per month. A 199.00 USD per once perpetual license includes one year of updates.
Who it is for
It suits analysts, data scientists, and teams working with data, from beginners to experts. It may also suit users who want to publish notebook projects on their own infrastructure.
What is good
- Python code remains visible and editable.
- Supports CSV, Excel, Parquet, and SQL sources.
- Experiment agent tracks and compares model runs.
- Notebook apps can be hosted on your infrastructure.
What to know first
- Free tier has no private Mercury web apps.
- OpenAI configuration may send prompts and context externally.
- Perpetual license updates cover one year.
Verdict
MLJAR Studio brings data analysis, experiments, and notebooks into a local-first workspace. Check the provider settings and publishing limits that apply to your workflow.
MLJAR Studio plans and pricing
All plansCompared on data science platforms
Facts
- Purpose
- MLJAR Studio is a local AI data workspace for data analysis, machine learning experiments, and Python notebooks.mljar.com · 3 Oct 2026
- AI data analysis
- Users can ask questions in plain language and Studio generates and runs Python analysis while keeping the code visible and editable.mljar.com · 3 Oct 2026
- AutoML
- Its experiment agent can tune models, discover useful features, compare models, track experiments, and generate reports.mljar.com · 3 Oct 2026
- Notebook apps
- Studio can turn notebooks into interactive web apps powered by Mercury and host them on the user's own infrastructure.mljar.com · 3 Oct 2026
- Platforms
- The download page offers installers for Windows, macOS, and Linux.mljar.com · 3 Oct 2026
- AI providers
- Documented provider options include built-in MLJAR AI, OpenAI, Ollama local, and Ollama Cloud; the product page also names Anthropic and OpenAI-compatible providers.mljar.com · 3 Oct 2026
- Data sources
- The AI Data Analyst page says Studio works with CSV, Excel, and Parquet files, plus SQL databases including PostgreSQL, ClickHouse, and MySQL.mljar.com · 3 Oct 2026
- Privacy
- Studio is designed for local, offline-first use; its AI policy says data processing is local by default and no data is transmitted externally unless an external provider or MLJAR AI cloud add-on is configured.mljar.com · 3 Oct 2026
- Cloud provider caveat
- When OpenAI is configured, prompts and relevant context may be sent to OpenAI according to the user's configuration and provider terms.mljar.com · 3 Oct 2026
- Publishing limits
- The Free tier includes one public Mercury web app and no private Mercury web apps; Pro includes one private app and Business includes three.mljar.com · 3 Oct 2026
- License updates
- The perpetual license includes one year of updates, and newer releases after that period require an update renewal.mljar.com · 3 Oct 2026
- Audience
- The maker describes Studio as suitable for beginners and experts and says it serves analysts, data scientists, and teams working with data.mljar.com · 3 Oct 2026
- Company
- MLJAR identifies its founders as Aleksandra Płońska and Piotr Płoński on its About page.mljar.com · 3 Oct 2026
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Sources
- mljar.com/studio/· checked 3 Oct 2026
- mljar.com/downloads/· checked 3 Oct 2026
- mljar.com/docs/llm-providers/· checked 3 Oct 2026
- mljar.com/ai-data-analyst/· checked 3 Oct 2026
- mljar.com/ai-policy· checked 3 Oct 2026
- mljar.com/docs/llm-providers/openai/· checked 3 Oct 2026
- mljar.com/pricing/· checked 3 Oct 2026
- mljar.com/about/· checked 3 Oct 2026