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MLJAR Studio

mljar.com

From $20/mo Free plan WindowsmacOSLinuxSelf-hosted
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Spec score 8.0 #7 of 28 in Low-Code Machine Learning Platforms Software

What it is

MLJAR Studio is a Python workspace for data analysis, machine-learning experiments, and notebooks, with local-first operation. Ask questions in everyday language and it generates and runs analysis code that remains visible and editable. Its experiment agent can tune models, identify useful features, compare models, track experiments, and produce reports. It works with CSV, Excel, and Parquet files, as well as SQL databases such as PostgreSQL, ClickHouse, and MySQL. Notebook projects can become interactive Mercury web apps hosted on your own infrastructure. Available AI providers include MLJAR AI, OpenAI, Ollama local, and Ollama Cloud; Anthropic and OpenAI-compatible providers are also named. Processing is local by default, but configuring an external provider or MLJAR AI cloud add-on can send data externally. With OpenAI configured, prompts and relevant context may be sent under your settings and provider terms. Plans include Free at free, Pro at $20 a month, Business at $60 a month, and a perpetual license at $199 as a one-time purchase. It runs on Linux, macOS, Windows, and self-hosted environments.

Spec sheet

Purpose
MLJAR Studio is a local AI data workspace for data analysis, machine learning experiments, and Python notebooks.Read 3 Oct 2026 · mljar.com
Audience
The maker describes Studio as suitable for beginners and experts and says it serves analysts, data scientists, and teams working with data.Read 3 Oct 2026 · mljar.com
Platforms
The download page offers installers for Windows, macOS, and Linux.Read 3 Oct 2026 · mljar.com
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.Read 3 Oct 2026 · mljar.com
Company
MLJAR identifies its founders as Aleksandra Płońska and Piotr Płoński on its About page.Read 3 Oct 2026 · mljar.com
AI data analysis
Users can ask questions in plain language and Studio generates and runs Python analysis while keeping the code visible and editable.Read 3 Oct 2026 · mljar.com
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.Read 3 Oct 2026 · mljar.com
AutoML
Its experiment agent can tune models, discover useful features, compare models, track experiments, and generate reports.Read 3 Oct 2026 · mljar.com
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.Read 3 Oct 2026 · mljar.com
Data sources
The AI Data Analyst page says Studio works with CSV, Excel, and Parquet files, plus SQL databases including PostgreSQL, ClickHouse, and MySQL.Read 3 Oct 2026 · mljar.com
License updates
The perpetual license includes one year of updates, and newer releases after that period require an update renewal.Read 3 Oct 2026 · mljar.com
Notebook apps
Studio can turn notebooks into interactive web apps powered by Mercury and host them on the user's own infrastructure.Read 3 Oct 2026 · mljar.com
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.Read 3 Oct 2026 · mljar.com

Plans and prices

Free Free 50 prompts / month · 10 published conversations · 1 public Mercury web app · core MLJAR Studio features Read 3 Oct 2026 · mljar.com
Pro $20 a month 500 prompts / month · 50 published conversations · 3 public Mercury web apps · 1 private Mercury web app Read 3 Oct 2026 · mljar.com
Business $60 a month 2,000 prompts / month · 200 published conversations · 10 public Mercury web apps · 3 private Mercury web apps Read 3 Oct 2026 · mljar.com
Perpetual license $199, paid once one payment · yours forever Purchased version usable forever · 1 year of updates · required for local LLM workflows with Ollama and own provider API keys Read 3 Oct 2026 · mljar.com

Every MLJAR Studio plan and price →

Strong points and limits

Strong points

  • Generates editable Python analysis from plain-language questions.
  • Experiment agent tunes, compares, and tracks models.
  • Supports CSV, Excel, Parquet, and SQL databases.
  • Notebook apps can run on your own infrastructure.

Limits

  • External AI providers may receive prompts and context.
  • Free tier includes only one public Mercury web app.
  • Perpetual license includes one year of updates.

Who it suits

Studio suits analysts, data scientists, and teams working with data, as well as beginners and experts. It may suit users who want Python code visible and editable while using AI-assisted analysis.

Verdict

MLJAR Studio combines Python notebooks, AI-assisted analysis, and experiment management in a local-first workspace. Check provider settings and app-publishing limits against your workflow before choosing a plan.

Where Specifiction places it

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