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?
paddy_m 36 days ago [-]
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.
franky47 36 days ago [-]
But does it work across data tables with 8 dimensions?
trsohmers 36 days ago [-]
Only with the oscillation overthruster flag enabled.
RyanHamilton 36 days ago [-]
Congratulations on launching. Buckaroo looks great.
mathisd 35 days ago [-]
How does it compare to Data Wrangler ? I like Data Wrangler because it let us open up in a separate VS Code window.
hodder 35 days ago [-]
Looks cool to me. I often just end out exporting and opening in excel to do this
leelou2 36 days ago [-]
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gitroom 35 days ago [-]
[dead]
Rendered at 11:15:20 GMT+0000 (Coordinated Universal Time) with Vercel.
1: https://marketplace.visualstudio.com/items?itemName=ms-tools...
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 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
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.