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MLJAR

Company blog · mljar.com/blog · on HN as pplonski86aidata

MLJAR is the company blog at mljar.com, writing about ai and data. Since 2016, 7 different Hacker News readers have linked it 153 times, most often “Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks”. It is still writing: the last post was on 2026-09-24, and you can follow it by feed.

Visit the blog
153mentions?
7HN people?
2016–2026first – last linked?
Links on Hacker News per year · peak 43 in 2022

Too few sampled comments (3) to say how often HN recommends it.?

Why HN links it

Linked for data science content: a guide on becoming a data scientist, a piece on fairness in machine learning, and an Apply HN launch of the company's AutoML product. Comments are bare links, quotes or promotion.

Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

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.

The author on HN?

pplonski86 · 7,520 karma · member since 2016

New generation of data science tools https://mljar.com https://github.com/mljar/mercury https://github.com/mljar/mljar-supervised https://runmercury.com meet.hn/city/pl-Łapy

From their public HN profile, which links to this site.

Most-linked posts?

  1. Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks
    4 people · 5 mentions · first linked 2017-01-02
  2. Fairness in Machine Learning
    2 people · 3 mentions · first linked 2023-06-27
  3. Random Forest vs. AutoML (With Python Code)
    2 people · 2 mentions · first linked 2019-05-08

What Hacker News says?

  1. I'm working on visual programming for Python. I created an Python editor, that is notebook based (similar to Jupyter) but each cell code in the notebook has graphical user interface. In this GUI you can select your code recipe, a simple code step, for example here is a recipe to list files in the directory https://mljar.com/docs/python-list-files-in-directory/ - you fill the UI and the code is generated. You can exe…

    Comment linking /

    on “We need visual programming. No, not like that”
  2. Submitted How to create a dashboard in Python with Jupyter Notebook as a story · 188 points

    HN discussion
  3. Im working on MLJAR Studio, new Python editor perfect for beginners. It has set of interactive code recipes with Graphical Interface. You can create scripts with it. Additionally, it automatically install and import missing packages. It is a kind a new way for visual programming. Most of recupes are ML and AI focused. You can read more on https://mljar.com/docs

    Comment linking /docs

    on “Ask HN: What are you working on (August 2024)?”
  4. Submitted Random Forest vs. Neural Network as a story · 136 points

    HN discussion
  5. MLJAR | Łapy, Białystok, Poland or remote | full stack | at least 50% time | https://mljar.com We are building tool for data analysis without coding. Looking for full stack developer (python, django, channels, celery, redis, postgres, react, plotlyjs) to join us. My email is piotr at mljar.com

    Comment linking /

    on “Ask HN: Who is hiring? (August 2019)”
  6. Submitted Automated PDF Reports with Python Notebooks as a story · 100 points

    HN discussion
  7. I wrote MLJAR ( https://mljar.com ) that is doing model and parameters search - and it helps me a lot with ML projects.

    Comment linking /

    on “Michelangelo: Uber’s Machine Learning Platform”
  8. Submitted Show HN: MLJAR – build machine learning models without coding as a story · 51 points

    HN discussion
  9. Random Forest doesn't increase overfit error when adding more trees. I did the experiment on toy dataset to check it https://mljar.com/blog/random-forest-overfitting/ What is more, Leo Breimain wrote on his website: "Random forests does not overfit. You can run as many trees as you want" https://www.stat.berkeley.edu/~breiman/RandomForests/cc_home...

    Comment linking /blog/random-forest-overfitting/

    on “Random Forest vs. Neural Network”
  10. Submitted Surprising ways how to use Jupyter Notebook as a story · 41 points

    HN discussion
  11. I was doing Startup School online this year with MLJAR ( https://mljar.com - it is Machine Learning as a Service) - the progress during school was huge. I am very curious how the acceleration after stationary YC will look like :)

    Comment linking /

    on “Apply to YC for the Winter 2018 funding cycle”
  12. Submitted Show HN: Convert Jupyter Notebook to interactive web app without coding as a story · 29 points

    HN discussion
  13. I'm working on AutoML solution, that is available in the cloud ( https://mljar.com ). What is more, the core of my AutoML is open source ( https://github.com/mljar/mljar-supervised ) - both are easy to use. The cloud version has user interface so you need just to upload data and do few clicks. You don't need to have programming knowledge. For python package, you need to know how to manipulate data in python (basic n…

    Comment linking /

    on “An End-to-End AutoML Solution for Tabular Data at KaggleDays”
  14. Submitted Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks as a story · 13 points

    HN discussion
  15. Mixing code, markdown and execution results in one output file gives Jupyter notebooks superpower. You can really have anything in the ipynb file, stored in JSON. I wish there was two types of ipynb files, one for file with just code and markdown (for example ipynbc), and one for keeping code+markdown+results. BTW, sometime ago I wrote an article about surprising things that you can build with Jupyter notebook https…

    Comment linking /blog/how-to-use-jupyter-notebook/

    on “Jupyter Notebooks as E2E Tests”
  16. Submitted How to become a Data Scientist? My journey, overview of skill set, practice tips as a story · 12 points

    HN discussion
  17. The next alternative is Mercury ( https://github.com/mljar/mercury ) framework. It turns Jupyter notebooks into interactive web apps. You just add YAML config in the first cell and the interactive widgets (textbox, sliders) will be added to the notebook. You can share the notebook with others. Your users can tweak widgets and execute the notebook (and download result as single HTML file). What is more, you can hide…

    Comment linking /mercury/

    on “Python App in the Browser”
  18. Submitted Show HN: Turn Jupyter Notebook to interactive web app and share with no-coders as a story · 11 points

    HN discussion
  19. I'm also curious how does it compare! The package will be included in the newest comparison done by OpenML people https://github.com/openml/automlbenchmark I have some old comparison of closed-source old system https://mljar.com/blog/automl-comparison/ but the open source version is much better and have more features.

    Comment linking /blog/automl-comparison/

    on “Show HN: Mljar Automated Machine Learning for Tabular Data (Explanation,AutoDoc)”
  20. Submitted Show HN: Free Machine Learning Lessons with MLJAR as a story · 11 points

    HN discussion
  21. Link http://www.mljar.com/

    Comment linking /

    on “Apply HN: mljar.com makes Data Scientist’s life easier”
  22. Submitted How to share Jupyter Notebook with non-programmers? as a story · 8 points

    HN discussion
  23. > Many people believe that programming is an essential skill. In my opinion, programming is just a tool. Modern no-code and low-code platforms have made this skill less critical for entering the field. > What matters most is the result - how effectively you can use available tools to solve problems. > If you are comfortable working in a no-code environment and can use it effectively, then you don't need to be a prog…

    Comment linking /

    on “How to become a Data Scientist? My journey, overview of skill set, practice tips”
  24. Submitted Show HN: PostgreSQL and Machine Learning - step-by-step python tutorial as a story · 6 points

    HN discussion
  25. I'm working on automatic machine learning platform. It is already working as a SaaS ( https://mljar.com ). I would like to go open source with it and add ability to read data from different sources.

    Comment linking /

    on “Ask HN: What are you building?”
  26. Submitted Most GitHub incidents are on Wednesday – I analyzed 4.5 years of GH incidents as a story · 4 points

    HN discussion
  27. Recently I did a list of AutoML open and close source packages https://mljar.com/blog/automl-software-list/

    Comment linking /blog/automl-software-list/

    on “AI Designing AI: An AutoML Review”
  28. Submitted Navy SEALs, Performance vs. Trust, and AI as a story · 4 points

    HN discussion
  29. Im working on AI data analyst - MLJAR Studio. It is conversational UI with AI agent which uses Python to provide data insights. It is available as desktop application https://mljar.com

    Comment linking /

    on “Ask HN: What Are You Working On? (May 2026)”
  30. Submitted Show HN: Teacher Mode – Turn AI Notebooks into Interactive Coding Quizzes as a story · 4 points

    HN discussion

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