Astral's uv is an impressive, ultra-fast Python package manager that’s rapidly clearing up the pip/virtualenv/poetry mess and setting a new bar for dx. However, Astral is a startup with an unclear path to monetization, whereas Anaconda is a mature company focused on enterprise AI/ML offerings and long-term customer relationships, with conda being just one part of their broader stack. It’s entirely plausible for Anaconda to adopt tools like uv. Comparing Astral and Anaconda directly overlooks their vastly different missions and scales—uv’s technical leap could help unify Python tooling, but Anaconda addresses a different problem.
I'm saying when you compare the resources that have gone in vs. the results that have come out the other side?
Putting these two teams up against one another isn't even fair: its like pushing baby chicks into a pond full of Piranhha fish.
It's not just a package manager: uv and ruff and tye are rapidly becoming an ecosystem. You think they don't have plans for Jupyter?
Google was a tiny company without a monetization strategy. Yahoo being gigantic and "divetsified" just made them a tastier meal for a different breed of competition.
