didact-engine VS premier-league

I think part of that issue today are monorepos. They are super convenient and I may end up using them for my open source .NET job orchestrator, Didact, but they are overwhelming to look at a lot of times - and I’ve been in the field for yours. I used to get so frustrated with web dev in particular a few years ago, never understood what the heck I was looking at.

In particular, I’m building an open source .NET/C# job orchestrator called Didact. It’s taken a lot of inspiration from Apache Airflow and Prefect over in the Python world. It isn’t finished yet, hoping to have a rough v1 ready after the new year.

I’m building an open source .NET/C# job orchestration platform called Didact. I have a landing page for the site, and right now each piece of my architecture is in its own, separate repo on GitHub.

I'm building an open source .NET job orchestration platform called Didact. It's not so much a library like the options above, but more like a complete, independent platform to run on its own. I'm including a REST API/execution engine, a modern-looking web dashboard UI (similar to Hangfire), and a few other things.

You could make something open source if you want. Nice way to build your resume and establish a reputation for yourself. Who knows, you could even try to live off of it one day. That’s what I’m attempting with my new open source platform, Didact, which is a brother of Apache Airflow for .NET/C#. You can find some cool stories about this on IndieHackers.com.

I’m building a job orchestrator for dotnet/csharp called Didact (website is almost done, but here is my main GitHub repo: https://github.com/DidactHQ/didact-engine).

I’ve got a few GitHub repos for it, here is the main one: https://github.com/DidactHQ/didact-engine

Didact Engine

I have a data engineering project that uses BigQuery, Cloud Run, Compute Engine, Cloud SQL, Artifact Registry, Firestore, and Datastream.

I'm currently working on a personal project where I am starting to implement dbt as a transformation step. One of my data pipelines runs in the following steps:

I’ve been building a Premier League Dashboard with Streamlit as a DE project.

Streamlit Dashboard: https://premierleague.streamlit.app

Here is my updated GitHub Actions Workflow file: ci.yml

Here is the GitHub repo.