MLJAR Studio Changelog

Follow every release in one place. Browse new features, improvements, and fixes for MLJAR Studio.

Latest release

Version 1.4.3

August 20, 2026

MLJAR Studio 1.4.3 adds OpenRouter model discovery, AI-powered DataFrame enrichment, simpler file loading, clearer analysis prompts, and an updated AI Data Scientist extension.

Read notes Download Studio

Use OpenRouter with automatic model discovery
Create AI-generated pandas DataFrame columns with enrichment
Load one file, multiple files, a whole folder, or a sample dataset
Get clearer prompts when analyzing single and multiple files
Work with the updated AI Data Scientist extension

Release History

Every MLJAR Studio release, sorted from newest to oldest.

Version 1.4.3

Latest

August 20, 2026

More ways to work with data and AI models

MLJAR Studio 1.4.3 adds OpenRouter model discovery, AI-powered DataFrame enrichment, simpler file loading, clearer analysis prompts, and an updated AI Data Scientist extension.

Use OpenRouter with automatic model discovery
Create AI-generated pandas DataFrame columns with enrichment
Load one file, multiple files, a whole folder, or a sample dataset
Get clearer prompts when analyzing single and multiple files
Work with the updated AI Data Scientist extension

Version 1.4.2

August 17, 2026

More AI providers and better multi-file data workflows

MLJAR Studio 1.4.2 adds OpenRouter support, makes it easier to analyze multiple files, refreshes open DataFrame views automatically, and improves updates, licensing, and stability.

Use OpenRouter with automatic model discovery and a searchable model list
Read multiple files or every file in a directory from AI chat and AI Data Analyst
See open DataFrame views refresh automatically when notebook data changes
Benefit from improved license checks and a clearer extension update dialog
Get updated bundled extensions and stability fixes

Version 1.4.1

August 12, 2026

Faster, more flexible AI chat and data analysis

MLJAR Studio 1.4.1 improves AI chat and AI Data Analyst notebooks with new response modes, easier provider configuration, faster requests, and stability and interface fixes.

Choose between Fast, Think, and Think more response modes
Configure OpenAI, local models, and other OpenAI-compatible providers more easily
Use an improved AI chat layout, file selector, and model configuration
Get faster AI Data Analyst responses without unnecessary AutoLab checks
Benefit from updated packages, security dependencies, and stability fixes

Version 1.4.0

August 3, 2026

Easier updates, guided AI analysis, and a smoother workflow

MLJAR Studio 1.4.0 makes AI tools easier to start, update, and use with extension updates, a simpler sign-in flow, guided data analysis tours, and more reliable AI responses and Python execution.

Update Studio extensions without reinstalling the desktop app
Follow clear download and installation progress for extension updates
Learn AI data analysis with new step-by-step guided tours
Start a clean AI Data Analyst conversation with your own data or question
Get more reliable AI responses, Python execution, and project templates

Version 1.3.0

July 27, 2026

Guided analysis, richer templates, and a refreshed launcher

MLJAR Studio 1.3.0 introduces a refreshed launcher, guided tours for data analysis, expanded runnable notebook templates, automatic dependency setup, and a cleaner AI-assisted workspace.

Refreshed the launcher with clearer starters for data analysis, visualization, web apps, and machine learning
Added step-by-step tours for AI-assisted and Python-based data analysis
Expanded runnable notebook templates with a CSV Viewer and live market and weather dashboards
Added silent dependency setup to visualization, dashboard, and AutoML notebooks
Polished the conversational notebook and AI sidebar

Version 1.2.1

May 20, 2026

Conversation sharing, Mercury app deployment, and smoother startup

MLJAR Studio 1.2.1 adds one-click sharing for AI Data Analyst conversations, one-click deployment for Mercury notebook apps, and several UX improvements across the Get Started and startup flows.

Added one-click sharing for AI Data Analyst conversations published on the user's personal page
Added one-click deployment of Mercury notebook web apps to platform.mljar.com
Improved the Get Started view with clearer paths for AI Data Analyst, AutoLab, and AI-assisted notebooks
Added startup directory selection and recent files in MLJAR Studio

Version 1.1.4

April 10, 2026

Conversational Notebook reliability, reasoning visibility, and workflow stability

MLJAR Studio 1.1.4 improves Conversational Notebook with visible reasoning support across providers, stronger workflow execution reliability, and multiple auto-fix and UX fixes.

Added visible reasoning support for Ollama chat and OpenAI Responses API reasoning summary flow
Fixed workflow progression for mixed code/no-code turns and improved startup prompt retention with retry
Hardened auto-fix behavior with retry handling, stricter follow-up instruction, and lifecycle logging
Fixed Python fenced block parsing for responses containing comment lines
Fixed hover accessibility for user-message copy/delete action buttons
Added sidebar disclaimer under prompt input: AI can make mistakes. Please verify responses.

Version 1.1.2

April 8, 2026

LLM retries and workflows narrow layout fix

MLJAR Studio 1.1.2 adds automatic LLM retries for more reliable responses and fixes workflows behavior in narrow layouts.

Added LLM retries
Fixed workflows narrow layout

Version 1.1.1

April 8, 2026

AutoLab sidebar fix, prompt quality improvements, and EULA update

MLJAR Studio 1.1.1 improves Conversational Notebook and AutoLab quality with better prompt behavior for ML pipelines and chart follow-ups, plus a fix for AutoLab Experiments overview visibility in the sidebar.

Fixed AutoLab Experiments overview in the sidebar
Improved global prompt behavior to omit ID columns in ML pipelines
Improved follow-up prompt behavior to include plotted values in responses for better insights
Updated EULA

Version 1.1.0

April 7, 2026

Conversational Notebook database connectors, SQL execution, and workflow reliability upgrades

MLJAR Studio 1.1.0 introduces major database and workflow upgrades in Conversational Notebook, including multi-engine connectors, SQL execution with notebook materialization, schema context controls, and broad reliability and UX improvements.

Added Database Connectors in the conversational prompt box with connection test/save flow and active-connection chip
Added multi-engine connector support (PostgreSQL, ClickHouse, MS SQL Server, Databricks, Snowflake, MySQL, Supabase) with package checks/install flow and clearer connector forms
Added SQL execution integration with notebook variables (`df_sql_n`) and direct SQL output rendering in chat
Added schema and table context controls, including table scan, table selection for LLM context, and Database Tables visibility in Data Awareness
Improved workflow execution reliability and UX, including prompt sequencing, duplicate-send prevention, progress behavior, and Run all/Stop all controls

Version 1.0.7

March 27, 2026

Markdown rendering reliability, structured AutoML prompting, and AutoLab scoring consistency

MLJAR Studio 1.0.7 improves conversational notebook rendering and markdown reliability, updates AutoML guidance toward `report_structured()` usage, and refines AutoLab prompting for more stable metric interpretation across iterations.

Improved conversational notebook rendering and markdown reliability, including safer handling of currency-style `$` text
Updated prompts and guidance so generated MLJAR AutoML examples use `report_structured()` in a notebook-friendly way
Refined AutoLab experiment prompting to improve metric interpretation consistency
Reduced unstable scoring behavior across AutoLab iterations and added additional chat UX robustness polish

Version 1.0.6

March 26, 2026

Chat deduplication stability and conversational notebook execution hardening

MLJAR Studio 1.0.6 is a stabilization release focused on chat reliability in the Electron app, with stronger websocket/message deduplication and safer conversational notebook execution behavior.

Improved websocket/message deduplication to prevent duplicated user prompts and streamed assistant responses
Improved Electron chat reliability where sidebar messages could previously appear multiple times
Tightened conversational notebook execution plumbing to reduce malformed auto-fix loops from parser/sanitization edge cases
Reduced chat-flow instability and made day-to-day behavior more predictable and production-safe

Version 1.0.5

March 25, 2026

Provider-aware AI access fixes, chat stability hardening, and AutoLab example update

MLJAR Studio 1.0.5 focuses on AI access correctness and runtime stability. This release fixes provider-aware entitlement handling for Ollama/OpenAI paths, removes legacy launcher fallbacks, hardens chat send and frontend initialization behavior, and updates the AutoLab House Prices example dataset URL.

Fixed provider-aware AI access gating for non-MLJAR providers to avoid incorrect "AI subscription required" behavior
Fixed launcher command routing by removing legacy fallback commands that could trigger wrong entitlement paths
Improved chat send stability with duplicate-send protection at input and transport levels
Added frontend core singleton guard to prevent duplicate initialization and repeated websocket clients/prompts
Updated AutoLab House Prices example dataset URL to `data_train.csv`
Improved Studio AI guard messaging and local-provider entitlement logic (`ai_local_provider_access`)

Version 1.0.4

March 24, 2026

Structured AutoML reports and NumPy 2 compatibility

MLJAR Studio 1.0.4 upgrades AI Data Scientist reporting with structured, LLM-friendly AutoML output and updates dependency compatibility so mljar-supervised works with modern NumPy versions.

Added structured AutoML reports optimized for LLM-friendly output
Improved AI Data Scientist report format for more consistent machine-readable sections
Removed the `numpy==1.26.4` dependency pin; mljar-supervised now works with NumPy > 2.0

Version 1.0.3

March 23, 2026

Stronger runtime stability, AutoLab data setup, and smarter run summaries

MLJAR Studio 1.0.3 focuses on reliability and flow quality across conversational notebooks and AutoLab experiments. This release adds stronger timeout/cleanup guards, improves experiment data and results-directory UX, introduces LLM-based run summaries, and fixes multiple state, session, and startup edge cases.

Added Ollama Cloud support for remote model connectivity
Added watchdog and timeout guards to prevent hanging "Thinking" and "Checking packages" states
Improved AutoLab Step 2 data setup with desktop-friendly multi-file selection and persisted `data_files`
Upgraded run summary generation to LLM-based synthesis and standardized report delivery via `run_summary`
Fixed notebook rename conflicts and prevented cross-notebook variable leakage in conversational workflows

Version 1.0.2

March 16, 2026

Stabilized conversational UX, AutoLab experiment flow, and release/version workflow

MLJAR Studio 1.0.2 focuses on stability and polish across conversational notebooks, AutoLab experiment UX, and version/release flow, with multiple reliability and usability fixes in sidebar and run-state interactions.

Switched conversational prompt context to interleaved notebook format with paired code and outputs
Improved AutoLab run-state and stop-experiment UX with clearer controls and safer actions
Fixed sidebar chat regressions including Clear chat and Fix with AI response handling
Polished thinking UI, scrolling behavior, and large-variable column summarization

Version 1.0.1

March 14, 2026

Better conversational notebook tooling and AutoLab polish

MLJAR Studio 1.0.1 improves Variables Inspector and Package Manager styling, adds support for conversational notebooks in both tools, fixes open code issues in conversational notebooks, and brings UI and assistant fixes across AutoLab and the classic notebook experience.

Improved styles for Variables Inspector and Package Manager
Added conversational notebook support in Variables Inspector and Package Manager
Fixed open code issues in conversational notebooks
Better AutoLab Experiments UI and fixes for AI Assistant in classic notebooks

Version 1.0.0

March 5, 2026

Conversational notebooks, AutoLab experiments, and flexible AI providers

MLJAR Studio 1.0.0 introduces conversational notebooks with your own AI Data Analyst, AutoLab experiments for autonomous machine learning optimization, and flexible LLM provider settings with support for MLJAR, OpenAI, and Ollama-based open models.

Added conversational notebooks with AI Data Analyst
Added AutoLab experiments for autonomous ML pipeline optimization
Added external LLM provider configuration
Support for MLJAR, OpenAI, and Ollama-based models