quadratic VS AWS Data Wrangler

https://github.com/quadratichq/quadratic/issues

Hey guys, as the title says I am looking for some suggestions on useful free spreadsheet libraries, similar to excel or google sheets. I saw quadratic (https://github.com/quadratichq/quadratic), which looks really interesting but is in very early alpha, to the point I cant even embed it in my own project yet.

I am glad they started brainstorming how to implement my suggestions for named cells and named ranges [1]. Having complex spreadsheets than span through infinite will be unmaintainable relying only on coordinates

[1] https://github.com/quadratichq/quadratic/issues/408

Yes the bundle is huge, we have made no effort yet to optimize it. Feel free to create a PR :)

Here is how we manage cell dependencies https://github.com/quadratichq/quadratic/blob/main/src/grid/...

I had no problem with awswrangler (https://github.com/aws/aws-sdk-pandas) and it supports reading and writing partitions which was really helpful and a few other optimizations that made it a great tool

awslabs has developed their own package for this and given it's for their product, seem likely to maintain it. https://github.com/awslabs/aws-data-wrangler

AWS data wrangler works well. it's a wrapper on pandas: https://github.com/awslabs/aws-data-wrangler

you'll find pre-made zips here: https://github.com/awslabs/aws-data-wrangler/releases

Don't forget about https://aws-data-wrangler.readthedocs.io/

Yep, agreed. Go is a great language for AWS Lambda type workflows.

Python isn't as great (Python Lambda Layers built on Macs don't always work). AWS Data Wrangler (https://github.com/awslabs/aws-data-wrangler) provides pre-built layers, which is a work around, but something that's as portable as Go would be the best solution.