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contains-io/typetArchived

0
View on GitHub↗
23 stars·0 forks·Python·MIT·10 views

Typet

Type[T]

Features

  • Type Extensions - Dynamic object validation and length-bounded types.

Star history

Star history chart for contains-io/typetStar history chart for contains-io/typet

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does contains-io/typet do?

Type[T]

What are the main features of contains-io/typet?

The main features of contains-io/typet are: Type Extensions.

Which projects share features with contains-io/typet?

Projects with overlapping indexed features include: alice-biometrics/meiga — Documentation: https://alice-biometrics.github.io/meiga/. antonagestam/phantom-types — Phantom types for Python. dry-python/returns — Returns is a functional programming library for Python that provides type-safe containers for managing state, error… jorenham/optype — Building blocks for precise type hints. mat1g3r/option — Rust-like Option and Result types in Python, slotted and fully typed. mplanchard/safetywrap — Fully typesafe, Rust-inspired wrapper types for Python values.

Projects sharing features with Typet

These projects share indexed features with Typet. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • alice-biometrics/meigaalice-biometrics avatar

    alice-biometrics/meiga

    82View on GitHub↗

    Documentation: https://alice-biometrics.github.io/meiga/

    Python
    View on GitHub↗82
  • antonagestam/phantom-typesantonagestam avatar

    antonagestam/phantom-types

    234View on GitHub↗

    Phantom types for Python.

    Python
    View on GitHub↗234
  • dry-python/returnsdry-python avatar

    dry-python/returns

    4,310View on GitHub↗

    Returns is a functional programming library for Python that provides type-safe containers for managing state, error handling, and optionality. It serves as a monadic container library and a type-safe error handling framework, replacing traditional try-catch blocks and null checks with Result and Optional containers to treat exceptions as data. The project is distinguished by its use of a specialized Mypy static analysis plugin to validate functional pipelines and emulate higher kinded types. It provides mechanisms for isolating side effects through IO containers and offers a framework for typ

    Python
    View on GitHub↗4,310
  • jorenham/optypejorenham avatar

    jorenham/optype

    87View on GitHub↗

    Building blocks for precise type hints

    Python
    View on GitHub↗87
Compare all 6 related projects→