schemata is trait system for Python and IPytohn applications that provide:
- validation
- testing strategies
- interactive user interfaces
- observable pattern
schemata's type system is composable and expresses the type annotations in the form of json schema. attaching the schema to the types allows different interfaces to construct defaults in aspects like testing, visualization, and verification.
Learn more from the documentation.
schemata is preceded by a few different trait libraries enthought.traits, traitlets, and pydantic.
traitlets is a reimplementation of the enthought.traits by the IPython community; traitlets have been the
configuration for jupyter and IPython since.
traitlets preceeded a lot of critical web technology critical to the jupyter interactive computing ecosystem;
traitlets are only concerned with Python objects and lack features of the modern.
pydantic provides value as trait system by building off of the jsonschema specification to validate types.
schemata unifies traitlets and pydantic by providing a description type interface based off of open web standards.
The desire is a trait system for interactive computing that enables more expressive design and testing of interactive computing technology.