plombery VS finagg

I finally created a docs website for my open-source task scheduler because honestly: a project is as good as its documentation! I used Mkdocs Material to create the docs, it's amazing!

Yep: https://github.com/lucafaggianelli/mario-pype It’s a FastAPI rest api with a react front end, so it’s generally accessed via the browser

Hey there, I'm building a Python Task Scheduler with a web UI. The idea is that you define that tasks to run, the schedules, etc. in Python, and then you control everything from the UI, including logs and tasks output data. The UI comes for free, no HTML/JS needed :)

I recently discovered https://github.com/tremorlabs/tremor a components lib aimed at building dashboards, it’s impressive how fast you can build a complete product with it … I built the ui for a python tasks scheduler in a couple of days: https://github.com/lucafaggianelli/mario-pype

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