airbyte-protocol-models-dataclasses
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
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with no runtime dependencies.
- Maintenance status is aging—last release was 413 days ago—but the repository remains active and supports current Python versions (3.9, 3.10, 3.11).
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects with minimal restrictions.
last release 2025-06-27 (413 days) · last repo commit 2026-01-27 · 13 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 434,174 downloads/mo, #6,695 on PyPI
Alternatives
Verify before relying
pip install airbyte-protocol-models-dataclasses
from airbyte_protocol_models_dataclasses import AirbyteMessage
message = AirbyteMessage(...)- Whether dataclass performance advantage over alternative model libraries is measurable for typical workloads
- Stability guarantees given the 'Alpha' development status despite being in use since 2024-08-23
What it is and 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—useful when protocol messages are processed at scale or in resource-constrained environments.
The 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.
Use it for
- 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
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
airbyte-protocol-models-dataclasses on PyPI
Before you install
Low install friction with no runtime dependencies. Maintenance status is aging—last release was 413 days ago—but the repository remains active and supports current Python versions (3.9, 3.10, 3.11).
License in practice
MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects with minimal restrictions.
Quickstart
pip install airbyte-protocol-models-dataclasses
from airbyte_protocol_models_dataclasses import AirbyteMessage
message = AirbyteMessage(...)Verify before relying
- Whether dataclass performance advantage over alternative model libraries is measurable for typical workloads
- Stability guarantees given the 'Alpha' development status despite being in use since 2024-08-23
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 413 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 434,174 / month, #6,695 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.9Topic :: Scientific/EngineeringTopic :: Software Development :: Libraries :: Python Modules |
Evidence: airbyte_protocol_models_dataclasses-0.18.0-py3-none-any.whl
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See also airbyte-connector-models · airbyte-protocol-models · airbyte-protocol-models-pdv2 · sigstore-models · airbyte-cdk · apache-airflow-providers-airbyte · airbyte · py-avro-schema · airbyte-internal-ops · webrtc-models