Most of the tools you mentioned appeared precisely because the basics with Python don't work that well. I had a project that started similarly, and in the end I

Most of the tools you mentioned appeared precisely because the basics with Python don't work that well. I had a project that started similarly, and in the end I had to use to pip-tools to actually separate top-level requirements and lockfiles for different "flavors" of the package (production and dev dependencies, for example). For new projects I would seriously consider poetry because it manages those two concepts directly. There's also the problem of changing requirement files and the environment not being updated to match 1-to-1 the files, either because someone installs something to test and doesn't put it in the requirements file or because you get an updated file from a coworker and forget to run the update. Even then, pip will not delete packages that it doesn't find on the files. It's a mess once you start digging a bit, Python dependency management is extremely basic. It's no wonder why alternative tools appear, they're not redundant, they actually fix pain points in the default tools.