{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/4"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/12"}],"enrichment":{"capability":"Provides Python dataclass models for the Airbyte Protocol, enabling type-safe work with Airbyte data pipeline specifications with minimal performance overhead.","skillfed_tags":["data-integration","protocol-models","airbyte"],"use_cases":["Building Airbyte source or destination connectors that need to emit or consume protocol messages with type safety","Integrating Airbyte into data pipelines where connector performance and memory footprint matter","Validating or transforming Airbyte protocol messages in middleware or orchestration layers","Developing custom Airbyte extensions that interact with the protocol specification"],"what_it_does":"This package defines the Airbyte Protocol as a set of Python dataclasses. Airbyte is a data integration platform, and the protocol specifies the contract between connectors and the core platform. By using dataclasses instead of heavier alternatives, the package trades some validation features for lower memory and CPU overhead\u2014useful when protocol messages are processed at scale or in resource-constrained environments.\n\nThe package contains no runtime dependencies, making it lightweight to integrate into connector code or platform components. It supports Python 3.9 and later. The underlying protocol is declared in JSONSchema (airbyte_protocol.yaml) and exposed through Python types, allowing developers to work with type hints and IDE autocomplete when building or consuming connectors.","worth_installing":"Yes, if you are building or extending Airbyte connectors or integrations. The package is stable in practice (434174 monthly downloads, top 15000 on PyPI), has no dependencies, and MIT licensing removes legal friction. The 413-day gap since last release is a minor concern but not a blocker given the active repository. Install it if you need Airbyte protocol types; skip it otherwise."},"id":"airbyte-protocol-models-dataclasses","links":{"html":"https://skillfed.io/packages/airbyte-protocol-models-dataclasses","md":"https://skillfed.io/packages/airbyte-protocol-models-dataclasses.md","pypi":"https://pypi.org/project/airbyte-protocol-models-dataclasses/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-06-27","license_spdx":null,"license_treatment":"permissive","name":"airbyte-protocol-models-dataclasses","python_support":"supports_current","summary":"Declares the Airbyte Protocol using Python Dataclasses. Dataclasses in Python have less performance overhead compared to Pydantic models, making them a more efficient choice for scenarios where speed and memory usage are critical"},"popularity":{"monthly_downloads":434174,"position":6695,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.18.0"}
