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AI · alternatives · 2026

24 alternatives to Łukasiewicz - Tabular data to ML model

Get a Machine Learning model for your data with single click

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Łukasiewicz - Tabular data to ML model launched in 2024; newer entries below may have overtaken it.

  1. 1

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

    2023 · github.com · its alternatives →

  2. 2

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

    2021 · github.com · its alternatives →

  3. 3

    AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally! - mljar/automl-app

    2023 · github.com · its alternatives →

  4. 4UA

    Hello! So, I am experimenting with new approaches to automated machine learning, where you don't need anything besides either data or prompt This is a first platform from my auto ml serie called Łukasiewicz (Jan Łukasiewicz was a logician who created Polish notation) I much appreciate your feedback and if you want to try it out, I created a -75% off promo code "HACKERNEWS" on credits, so it hopefully will cover at least some of computing expenses, but more importantly will let you play with the platform at almost no cost Thank you!

    2024 · lukasiewicz.tmlc.pl · its alternatives →

  5. 5

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

    2022 · github.com · its alternatives →

  6. 6
    MindsDB▲235

    In-database machine learning

    2022 · its alternatives →

  7. 7
    TABLUM.IO▲159

    Turn CSV, XML & JSON into a live analysis-ready SQL database

    2023 · tablum.io · its alternatives →

  8. 8

    Two weeks ago I was on my babymoon in Corfu, Greece. While in transit, I was overseeing a GSoC intern submit an important feature to my array database library, Xarray-SQL. He added `to_dataset()`, which completed the roundtrip between thinking of array data in a tabular model simultaneously as gridded rasters (the premise of the project is that every Nd array can be mapped to 2d, where orthogonal dims of the Nd array are just primary keys of a tabular representation). We discussed in chat, now that this feature existed, what demos could we make that would prove this data model works? With…

    Jul 2026 · github.com · its alternatives →

  9. 9

    Create interactive data tables in seconds with Tabulator. A free, open source, fully featured JavaScript table / data grid generation library.

    2018 · tabulator.info · its alternatives →

  10. 10

    Transform unstructured data into actionable data, instantly

    2024 · portday.com · its alternatives →

  11. 11
    StackML▲252

    Machine Learning platform in-browser, for creators

    2019 · its alternatives →

  12. 12

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

    2020 · github.com · its alternatives →

  13. 13TI
  14. 14

    Bring DevOps practices to your projects for automatic, reproducible, and fast machine learning.

    2020 · cml.dev · its alternatives →

  15. 15

    Built a tool for transforming unstructured data into structured outputs using language models (with 100% adherence). If you're facing problems getting GPT to adhere to a schema (JSON, XML, etc.) or regex, need to bulk process some unstructured data, or generate synthetic data, check it out. We run our own tuned model (you can self-host if you want), so, we're able to have incredibly fine grained control over text generation. Repository: https://github.com/automorphic-ai/trex Playground: https://automorphic.ai/playground

    2023 · automorphic.ai · its alternatives →

  16. 16

    I am excited to announce the release of TabPFN v2, a tabular foundation model that delivers state-of-the-art predictions on small datasets in just 2.8 seconds for classification and 4.8 seconds for regression compared to strong baselines tuned for 4 hours. Published in Nature, this model outperforms traditional methods on datasets with up to 10,000 samples and 500 features. The model is available under an open license: a derivative of the Apache 2 license with a single modification, adding an enhanced attribution requirement inspired by the Llama 3 license:…

    2025 · nature.com · its alternatives →

  17. 17

    Make No-Code AI models for free!

    2023 · codenull.ai · its alternatives →

  18. 18

    The easy way to turn text into structure data

    2021 · getmarkup.com · its alternatives →

  19. 19

    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…

    May 2026 · mljar.com · its alternatives →

  20. 20
    KeaML▲80

    Create machine learning environments in 2 clicks

    2022 · keaml.com · its alternatives →

  21. 21

    No-code AI predictions at one-click

    2021 · hikari-yae.com · its alternatives →

  22. 22
    Keplr▲112

    Turn your datasets into prediction engines

    2016 · keplrai.com · its alternatives →

  23. 23

    Train custom ML models with minimum effort and expertise

    2018 · cloud.google.com · its alternatives →

  24. 24

    Open-source, easily create ready-to-use ML models for NLP

    2022 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →