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it looks like the fakest, ai sloppiest site i've seen, together with reviews that don't seem real
oh and it also hijacks back button
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
#12IME "real data work" doesn't involve notebooks.
I like starting most of my projects on marimo notebooks now and slowly moving parts of it to the main codebase + db.
By the end of it I might remove the notebook entirely but usually I keep it for some visualisation + running stuff as a cli tool.
Re: Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks
#13This is one shot with Claude Code. What’s the moat?
Not the op or affiliated but. You really shouldn't and often cannot legally send off data or information about data to 3rd parties. Maybe schemas are okay but 1 mistake and your company can be in serious trouble. So local models is a good idea. This is a safer workflow if implemented correctly to prevent certain types of mistakes when LLMs inevitably hallucinate or make a mistake. That said, 200 usd? I don't believe…
My guess is you can't.
the best you can do is show them the code and hope they catch mistakes. Data scientists who can't read code probably shouldn't be running AI generated analysis on real data.
Re: 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
#19Notebooks as the output format is funny because notebooks are famously bad for reproducibility. Out of order execution, hidden state, etc. You're solving "chat isn't reproducible" with a format that also isn't really
Python notebooks are not reproducible when used by humans. When notebook format is used to store conversations for AI data analysis, it preserves the chat history and is ideal for reproducibility.
Re: Show HN: Mljar Studio – local AI data analyst that saves analysis as notebooks
#20How 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.