This looks really cool. I will say my default solution for this, and the default across my org, is Data Wrangler in VS Code[1]. My only wish list item is if the low code solution wrote polars instead of pandas. Any thoughts on how hard that might be to accomplish?
The Buckaroo lowcode UI is capable of working with Polars, but I don't currently have any commands plumbed in. I will work on that.
I'm aware of Data Wrangler and they did nice work, but it's closed source and from what I can tell non-extensible. What features do you like in Data Wrangler, what do you wish it did differently?
I made a Marimo WASM example that you can play with in your browser [1]
I need to make some updates to the polars functionality, I just completed some extensive refactorings of the Lowcode UI focussed on pandas, time to clean that up for polars too.
Also the python codegen for polars is non-idiomatic with multiple re-assignments to a dataframe, vs one big select block. I have some ideas for how to fix that, but they'll take time.
This is really great, I'm looking forward to playing with it.
Currently I use a mix of quak (preferred) and itable (if starting fom a colab notebook). It will be interesting to compare for my use cases, which most consist of checking for the distribution of data in a new file, or verifying that a transform I did resulted in the right sort of stuff.
This looks really cool. I will say my default solution for this, and the default across my org, is Data Wrangler in VS Code[1]. My only wish list item is if the low code solution wrote polars instead of pandas. Any thoughts on how hard that might be to accomplish?
1: https://marketplace.visualstudio.com/items?itemName=ms-tools...
Thank you.
The Buckaroo lowcode UI is capable of working with Polars, but I don't currently have any commands plumbed in. I will work on that.
I'm aware of Data Wrangler and they did nice work, but it's closed source and from what I can tell non-extensible. What features do you like in Data Wrangler, what do you wish it did differently?
I made a Marimo WASM example that you can play with in your browser [1]
I need to make some updates to the polars functionality, I just completed some extensive refactorings of the Lowcode UI focussed on pandas, time to clean that up for polars too.
Also the python codegen for polars is non-idiomatic with multiple re-assignments to a dataframe, vs one big select block. I have some ideas for how to fix that, but they'll take time.
https://marimo.io/p/@paddy-mullen/notebook-sctuj8
This is really great, I'm looking forward to playing with it.
Currently I use a mix of quak (preferred) and itable (if starting fom a colab notebook). It will be interesting to compare for my use cases, which most consist of checking for the distribution of data in a new file, or verifying that a transform I did resulted in the right sort of stuff.
But does it work across data tables with 8 dimensions?
Only with the oscillation overthruster flag enabled.
Congratulations on launching. Buckaroo looks great.
How does it compare to Data Wrangler ? I like Data Wrangler because it let us open up in a separate VS Code window.
Looks cool to me. I often just end out exporting and opening in excel to do this
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