An in-depth comparison between two new Rust-based type checkers for Python: Ty and Pyrefly. Comments from users highlight the current limitations of both tools, while emphasizing the need for better type inference in their respective use cases. Users discuss the unique approaches of each type checker, with Ty focusing on gradual typing and minimizing type errors from modifications, while Pyrefly appears to provide stronger type inference. The conversation also mentions complementary tools such as Beartype for runtime type checking. Overall, there is a clear interest in improving type-checking processes in Python, especially for larger and more dynamic codebases. Developers are searching for effective tools that can enhance their coding experience, particularly in real-time coding environments. This reflects a trend towards more robust error checking in software development, necessitating tools that cater to both development-time and runtime requirements.