Mljar Studio – local AI data analyst that saves analysis as notebooks
Hi HN, I’ve been working on mljar-supervised (open-source AutoML for tabular data) for a few years. Recently I built a desktop app around it called MLJAR Studio. The idea is simple: you talk to your data in natural language, the AI generates Python code, executes it locally, and the whole conversation becomes a reproducible notebook (*.ipynb file). So instead of just chatting with data, you end up with something you can inspect, modify, and rerun. What MLJAR Studio does: - Sets up a local Python environment automatically, runs on Mac, Windows, and Linux - Installs missing packages during the…
Mljar Studio – local AI data analyst that saves analysis as notebooks launched on May 2, 2026 with 73 votes, #546 of 20,538 launches that month and more than 95% of that year's launches.
In plain words
MLJAR Studio is a desktop application that lets users analyze data by talking to it in natural language. The AI generates and executes Python code locally, automatically setting up the environment and installing packages as needed. All conversations become reproducible Jupyter notebooks that users can inspect and modify. It includes built-in AutoML for tabular data classification and regression, works with common file formats and databases like PostgreSQL and Snowflake, and runs on Mac, Windows, and Linux. It's designed for data analysts who want interactive analysis with code they can review and reuse.
written from the facts on this page · September 2026
From the sources
MLJAR is an automated machine learning platform. With mljar, you can train great machine learning models without coding. It works with binary classification and regression tasks. It can do hyperparameters tuning and model selection.
MLJAR Studio is a private AI data lab for exploring data, running machine learning experiments, and building analysis tools. Runs locally with optional AI providers.
From research labs to fast-moving product teams, people rely on MLJAR to analyze data and ship insights. 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. 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. Move faster with AI assistance, visual exploration, and notebook-friendly workflows. Iterate with reproducible pipelines, model comparisons, and transparent Python execution. Keep projects local while maintaining…from mljar.com
In the maker’s words, at launch
Hi HN, I’ve been working on mljar-supervised (open-source AutoML for tabular data) for a few years. Recently I built a desktop app around it called MLJAR Studio. The idea is simple: you talk to your data in natural language, the AI generates Python code, executes it locally, and the whole conversation becomes a…
Does a similar job
all alternatives →- FMFree Machine Learning Lessons with MLJAR2017 · mljar.com · ▲11
MLJAR Studio is a private AI data lab for exploring data, running machine learning experiments, and building analysis tools. Runs locally with optional AI providers.
Mljar Automated Machine Learning for Tabular Data (Explanation,AutoDoc)2021 · github.com · ▲33Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
Web App with GUI for AutoML on Tabular Data2023 · github.com · ▲41AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally! - mljar/automl-app
AutoML Python Package for Tabular Data with Automatic Documentation2022 · github.com · ▲67Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
Igel – A CLI tool to run machine learning without writing code2020 · github.com · ▲405a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
Google Workspace StudioDec 2025 · workspace.google.com · ▲258Build your AI agent in minutes to delegate the daily grind
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
FastRouter.ai▲364Route requests to the right LLM for cost, latency & quality
AI · 22d ago · fastrouter.ai
Source: Show HN post ↗ · launch text quoted in part
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com