As a software engineer and non-data scientist, I hate Anaconda because it feels like it's a tool that tries to be the be-all, end-all package management tool for everyone in the data science field, yet it feels like a sloppily built, bloated whale. It's even managed to overwrite PATH on some of my Linux machines, which is where I drew the line.

I vastly prefer creating hermetic environments with either venv or Docker. They're much cleaner and easier to work with. I wish data scientists would adopt these tools instead.

Sadly, many of the ML models I investigate on Github don't even have their package requirements frozen. It's an uphill battle...