Web App with GUI for AutoML on Tabular Data

In plain words

This is a web application with a graphical interface designed to automate machine learning workflows for tabular data. It enables users to build and train models without extensive coding knowledge. The tool is built for data analysts and researchers who need to quickly experiment with different machine learning approaches on structured datasets. The application simplifies the typically complex process of model selection, feature engineering, and hyperparameter tuning into an accessible interface.

written from the facts on this page · September 2026

• 
  AutoML Python Package for Tabular Data with Automatic Documentation2022 · github.com · ▲67

  Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised

• 
  Mljar Automated Machine Learning for Tabular Data (Explanation,AutoDoc)2021 · github.com · ▲33

  Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised

• 
  SapientML – Generative AutoML for Tabular Data2023 · github.com · ▲82

  Generative AutoML for Tabular Data. Contribute to sapientml/sapientml development by creating an account on GitHub.

• 
  Mljar Studio – local AI data analyst that saves analysis as notebooksMay 2026 · mljar.com · ▲73

  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…

• 
  StackML2019 · ▲252

  Machine Learning platform in-browser, for creators

• 
  Igel – A CLI tool to run machine learning without writing code2020 · github.com · ▲405

  a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel

• 
  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 17d ago · spira.ai

• 
  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 17d ago · rill.love

• 
  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 19d ago · tej.as

• 
  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 20d ago · stillwet.art

• 
  PixVerse R2▲381

  A real-time world model you can explore and change

  AI · 29d ago · world.pixverse.video

• 
  Hemory▲381

  Keep listening. Searchable memory for your AI agents.

  AI · 30d ago · hemory.com

• 
  Resend▲1,325

  An entire collection of pre-built components with a much faster development experience.

  Dev tools · 2023 · resend.com

• 
  STORI AI▲1,316

  Your ideas become visually compelling branded social posts

  AI · 2023 · storiai.com

• 
  Kombai▲1,079

  A new AI model that you can prompt with UI designs

  AI · 2023 · kombai.com

• 
  User Persona Generator▲1,014

  Understand your audience without 50 interviews

  AI · 2023 · founderpal.ai

• 
  Lottielab▲869

  Create and ship lottie animations to sites and apps faster

  Dev tools · 2023 · lottielab.com

• 
  LLMs can generate valid JSON 100% of the time▲854

  Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…

  AI · 2023 · github.com