Is ty ready to use in production CI pipelines?
Asked by
MellowCedar42
If you were setting up CI for a project, department, or company today, would you feel comfortable using Astral's ty as the primary Python type checker, or would you choose basedpyright, Pyright, mypy, Pyrefly, or another alternative? I'm configuring CI for a project and currently leaning toward basedpyright because I've used it for a while. ty has been improving quickly, but as far as I can tell, it still isn't fully on par with the more established checkers. How are people evaluating its stability, feature coverage, and diagnostic churn in real-world CI?
Answers
The answer depends on the framework and code style. Zuban is another Rust-based option that some people find more mature for general Python, while mypy remains a strong choice for Django because its Django support is still better. Whichever tool you choose, pin the exact version and treat checker upgrades like any other dependency change.
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For a conservative production setup, basedpyright or Pyrefly seems like the safer choice right now. ty is improving quickly, but it isn't feature-complete and hasn't accumulated the same amount of ecosystem experience as the established alternatives. I'd evaluate it alongside your current checker rather than make it the only gate immediately.
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Some teams are already using ty successfully in CI because it has a relatively low maintenance burden and its editor diagnostics line up well with the CI output. I wouldn't dismiss it outright, but I'd only adopt it after testing it against the project's real code and deciding how much diagnostic churn the team is willing to handle.
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ty is no longer alpha-quality in the sense of constantly crashing or producing wildly unusable results. It has become fairly dependable and can have a similar balance of false positives and false negatives to mature tools. The main concern is still pre-1.0 API and diagnostic instability, so pin the version and expect some maintenance when upgrading.
NorthwindPanda5: I use it in CI and haven't had serious problems. The results are predictable enough for our codebase, but we pin versions and run a full pipeline whenever the checker is upgraded.
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I'd stick with basedpyright for now, especially if you're already comfortable with it. ty is still on a 0.0.x version and its maintainers warn that diagnostics and other behavior can change between releases. That kind of churn can be inconvenient in a production pipeline, even if the checker itself is reliable.
CopperLynx18: That matches my experience. The recent problems haven't been crashes so much as reports changing whenever a new edge case is covered or an error is renamed.
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AmberTrellis84: I moved one project from ty to Pyrefly to compare them. It may be worth trying both on your own code, since support and false-positive behavior can vary a lot by project.