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Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks

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Re: Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks

#21

Post by pplonski86 »

amirathi wrote: post #4

Really cool. If somebody doesn't want to adopt a new platform, take a look at open source Jupyter MCP Server[1]. Once integrated with Claude, it can execute code on the live notebook kernel. I just let Claude write notebooks, run top to bottom, debug & fix errors & only ping me when everything is working. [1] https://github.com/datalayer/jupyter-mcp-server

Thanks for sharing! MLJAR Studio was created for people with domain knowledge but not much technical expertise. For them, setting up a Python environment, installing required packages, configuring Jupyter Lab, the MCP server, and Claude Code might be technically demanding.

MLJAR Studio is a desktop application available for Windows, MacOS, and Linux. MLJAR Studio creates a Python environment for the user and installs all required packages. The user can focus on data rather than fighting technical challenges.

Re: Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks

#22

Post by pplonski86 »

2ndorderthought wrote: post #2

This is one of those product areas I would call high-risk without a human in the loop. So I am glad you kept a person in the loop. It's really easy to lose tons of money making decisions based on bad statistics or models. Anyone remember how much money zillow lost because of automatic time series models? I do have concerns about the workflow. Data people aren't usually the best programmers. Models hallucinate and mak…

Human in the loop in data analysis is really challenging task. We provide Python code for inspection, so user can check details how results were produced. Additionally, we run AI on results - user need to check the outputs and AI provided insights.

Re: Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks

#23

Post by trymamboapp »

"AI saves analysis as notebooks" is fighting the wrong fight ig. The reproducibility issue with notebooks isn't the format. it's out-of-order cell execution and silent kernel state

llm generation makes that worse: the model has no memory of what state existed when it wrote cell 7, and neither does the user.

Re: Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks

#24

Post by pplonski86 »

trymamboapp wrote: post #23

"AI saves analysis as notebooks" is fighting the wrong fight ig. The reproducibility issue with notebooks isn't the format. it's out-of-order cell execution and silent kernel state llm generation makes that worse: the model has no memory of what state existed when it wrote cell 7, and neither does the user.

User is not touching notebook at all, user just ask questions in natural language, and AI is using Python to compute answer, the ipynb notebook format is used to save the conversation.

Re: Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks

#26

Post by hasyimibhar »

pplonski86 wrote: post #20
hasyimibhar wrote: post #8

How does this compare to open source Deepnote[0]? We use the cloud version (BYOC) at my previous company to replace self-hosted Jupyter notebooks, and it's pretty great. [0] https://github.com/deepnote/deepnote

The goal of MLJAR Studio is to make it easy to analyze data for people with large domain knowledge but lack of programming skills. We do not focus on notebooks. Python notebook for us is compute and store layer. Our main interface is chat with AI data analyst. The conversation can be opened as classic notebook, but the main UI is simple chat.

You should check them out, their interface pretty much looks like chat nowadays.

Re: Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks

#27

Post by pplonski86 »

hasyimibhar wrote: post #26
pplonski86 wrote: post #20

Earlier quoted context omitted.

The goal of MLJAR Studio is to make it easy to analyze data for people with large domain knowledge but lack of programming skills. We do not focus on notebooks. Python notebook for us is compute and store layer. Our main interface is chat with AI data analyst. The conversation can be opened as classic notebook, but the main UI is simple chat.

You should check them out, their interface pretty much looks like chat nowadays.

Thank you! I will check them out. It is worth to mention that MLJAR Studio is a desktop application, which is easy to install. It is running locally, and support local LLMs so all data stay safe.
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