Hey, Amphi's developer here. Those two tools are great, big fan of dlt myself :)

However, Amphi is a low-code solution while those two are code-based. Also, those two focus on the ingestion part (EL) while Amphi is focusing on different ETL use-cases (file integration, data preparation, AI pipelines).

I understand that. I'd change the title / H1 though, "Open Source Python ETL" doesn't describe what you're building very well.

Good luck! Looks cool.

Are you able to describe what makes them better? (Honest question, I'm not familiar with either or with Amphi.)

It seems Definite's use case is focused on connecting to lots of data sources. For much smaller scale, how does Amphi compare?

most data engineers would think of something like Fivetran when you say "ETL" (look at the ETL section here[0]).

It looks like Amphi could handle some low code transformations (the "T" in ETL), but calling it ETL feels like a stretch.

So to rephrase a bit, if you're looking for an open source, python based Fivetran alternatives, dlt and meltano would be my picks.

0 - https://mattturck.com/landscape/mad2024.pdf)