Versions:

0.0.29
0.0.28
0.0.27
0.0.26
0.0.25
0.0.24
0.0.23
0.0.22
0.0.21
0.0.20
0.0.19
0.0.18
0.0.17
0.0.16
0.0.15
0.0.14
0.0.13
0.0.12
0.0.11
0.0.10
0.0.9
0.0.8
0.0.7
0.0.6
0.0.5
0.0.4
0.0.3
0.0.2
0.0.1-alpha.9
0.0.1-alpha.8
0.0.1-alpha.7
0.0.1-alpha.6
0.0.1-alpha.35
0.0.1-alpha.34
0.0.1-alpha.33
0.0.1-alpha.32
0.0.1-alpha.31
0.0.1-alpha.30
0.0.1-alpha.29
0.0.1-alpha.28
0.0.1-alpha.27
0.0.1-alpha.26
0.0.1-alpha.25
0.0.1-alpha.24
0.0.1-alpha.23
0.0.1-alpha.22
0.0.1-alpha.21
0.0.1-alpha.20
0.0.1-alpha.2
0.0.1-alpha.19
0.0.1-alpha.18
0.0.1-alpha.17
0.0.1-alpha.16
0.0.1-alpha.15
0.0.1-alpha.14
0.0.1-alpha.13
0.0.1-alpha.12
0.0.1-alpha.10

ty is a command-line utility published by Astral Software Inc. that functions as an extremely fast Python type checker and language server; because its core is written in Rust, it can parse and analyze large Python codebases in milliseconds, making it suitable for continuous-integration pipelines, pre-commit hooks, and interactive editing in Visual Studio Code, Vim, Emacs, or any LSP-compatible IDE. Developers invoke it against single files, entire packages, or monorepos to surface type errors, missing imports, incorrect return annotations, and undefined attributes; the same binary also exports the Language Server Protocol, so every opened file is re-checked on the fly and diagnostics appear inline without manual re-runs. ty adheres to the standard PEP 484 type-annotation syntax and understands pyproject.toml configuration, gradual typing, and stub files, which lets teams adopt it incrementally on brownfield projects or enforce strict checking on new greenfield services. CI platforms embed it in Docker images to gate pull requests, library authors run it in matrix builds across multiple Python versions, and data-science notebooks can be validated through its Jupyter plugin. The tool is actively maintained under semantic versioning; the current stable release is 0.0.29, and the publisher has shipped fifty-eight numbered builds since inception, indicating rapid iteration and bug-fix cadence. ty is distributed as a universal pre-compiled binary for Windows, macOS, and Linux, requiring no Python interpreter to execute, which simplifies containerized workflows and avoids dependency skew. It falls within the Developer Tools / Static Analysis category and is available for free on get.nero.com, with downloads provided via trusted Windows package sources such as winget, always delivering the latest version and supporting batch installation of multiple applications.

Tags:

python 90