I think astral and meta were both working on their own type-checkers independently. My current understanding is that meta released so they could preempt the initial release of ty. It seems like they're a bit further ahead in development. Not sure if there are going to be any real differences between the two down the line.
Sure, but in this case they are both implementations of a spec defined by PEPs, so a bit more like gcc vs clang (less tightly bound than those, of course, in design decisions). Neither company is trying to invent a new language here.
The current major type checkers, mypy and pyright, are also based on the same PEPs, but you can still see differences between them. For example, my codebase passes pyright in strict mode, but mypy results in a bunch of type errors. I'd expect pyrefly and ty to be slightly different from each other.
Sure, I agree. I’m just saying that most of their defacto disagreements are because of ambiguity in the specs, not because one of them is (intentionally) choosing to fork.
Fwiw I think performance and features are kind of intertwined here, since Pyright’s extra speed makes it possible to infer more things that are not easy for mypy, especially in an LSP implementation.
Pyright is very impressive in that second link (conformance check), very much a product of Eric Traut & others dedicating a lot of energy to this single problem.
the specs are still evolving, and the various type checker implementations are what is driving them forward. in general, capturing the dynamic typing semantics of python in a gradually typed system is not a fully solved problem, and the type checkers are experimenting with various approaches to it.
I don't know the differences between the two well enough to know if it was the case here, but in my experience sometimes you need to innovate on a fork, or from scratch in order to create the space/freedom to do so.
Once a project is popular, it's harder to justify and be confident about major changes (aka https://m.xkcd.com/1172/)
It seems like the share a lot of the same goals but my impression is Poetry is much slower to pick up on standards. It’s normal to use uv with a project now that doesn’t have any [tool.uv] section in pyproject.toml at all but every poetry project I’ve seen is littered with [poetry] sections, even dependencies. Makes me not want to use it
ty doesn't invoke a Python interpreter to discover imports yet — so you need to either set `VIRTUAL_ENV` or pass `--python` to configure your target environment. We'll expand support here in the future, but this part of ty's interface is intentionally minimal while we focus on core type checking features.
