kr8s VS finagg

kr8s – A batteries-included Python client library for Kubernetes that feels familiar for folks who already know how to use kubectl

We’ll import the kr8s package to interact with the cluster, and when you’ll remove arguments from the main function, you will also see them disappear from the input section! Quite neat.

For the last few months I’ve been tinkering with a new Kubernetes client library for Python called kr8s.

https://github.com/kr8s-org/kr8s

The project has reached the point where it has enough features and is stable enough that I’m starting to use it in my other projects, so it feels like a good time to announce it to the world.

I intend to post about my journey building kr8s so if you’re interested in following along then subscribe to my blog in your favourite RSS reader or follow me on the birdsite.

I'll stick around and respond to comments if folks have any questions :).

finagg – A Python package for aggregating and normalizing historical data from popular and free financial APIs

This is certainly a weird place to ask this question. That being said, you should explore the FRED API. Here's my project that implements most of it in Python: https://github.com/theOGognf/finagg The walkthrough shows you how to find what you're looking for

I created a Python package exactly for this. https://github.com/theOGognf/finagg. It aggregates historical fundamental data for whatever tickers you specify or from a subset of tickers. Let me know what you think

This package https://github.com/theOGognf/finagg already implements the complete SEC EDGAR REST API (disclaimer: I'm the author), and the archive-based API is in the works. I suggest you give it a go using the latest version off GitHub

I've got some time set aside to implement a (file based) SEC EDGAR API described in this issue https://github.com/theOGognf/finagg/issues/43