airbyte-connector-models
Typed Pydantic models for Airbyte connectors
Decision gist · record as of 2026-08-14
Yes. The package has low install friction, active maintenance, no known vulnerabilities, and a permissive MIT license. It solves a real problem—type safety for Airbyte connector configuration—and integrates cleanly with the Airbyte ecosystem. Install it if you use Airbyte connectors in Python and want IDE support and static type checking; note that record models are marked as planned functionality, so verify their availability for your use case.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.10,<3.13; connector-specific model paths depend on which Airbyte connectors you need to configure.
- Low install friction with a pure-Python wheel and four runtime dependencies (airbyte-api, airbyte-cdk, pydantic, requests).
- Package is actively maintained with a recent release.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions, making it safe for both open-source and commercial projects.
last release 2026-08-14 (0 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 119,890 downloads/mo, #12,051 on PyPI
Alternatives
Verify before relying
pip install airbyte-connector-models
from airbyte_connector_models.connectors.postgres.source.config import SourcePostgresConfigSpec
config = SourcePostgresConfigSpec(
host="localhost",
port=5432,
database="mydb",
username="user",
password="pass"
)- Whether record models (noted as 'planned functionality') are fully available or still under development in version 0.1.9.
- The frequency and reliability of nightly model regeneration and how breaking schema changes are handled.
- Whether additional properties support works as documented for connectors with custom or undocumented fields.
What it is and what it does
Airbyte Connector Models is a code-generation library that wraps Airbyte connector specifications into Pydantic models, enabling type-safe configuration and record handling in Python. It generates models nightly from the latest connector schemas, covering config specs for all source and destination connectors, record types for streams, and metadata used by the Airbyte Connector Registry. The package depends on airbyte-api, airbyte-cdk, pydantic, and requests, and is designed to integrate with the Airbyte ecosystem for end-to-end typed data pipelines.
The models preserve original field casing and support additional properties for fields not in the schema, providing ergonomic access to both standard and custom connector fields. It targets Python versions >=3.10,<3.13 and is actively maintained with frequent updates to track connector changes.
Use it for
- Build type-checked Airbyte connector configurations in Python with IDE autocomplete and static type validation.
- Integrate Airbyte connectors into data pipelines while maintaining end-to-end type safety for configuration and records.
- Validate connector configurations before runtime by leveraging Pydantic's automatic validation on model instantiation.
- Access custom and undocumented connector fields ergonomically through Pydantic's additional properties support.
- Keep connector type definitions in sync with Airbyte's latest specifications through nightly model regeneration.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package has low install friction, active maintenance, no known vulnerabilities, and a permissive MIT license. It solves a real problem—type safety for Airbyte connector configuration—and integrates cleanly with the Airbyte ecosystem. Install it if you use Airbyte connectors in Python and want IDE support and static type checking; note that record models are marked as planned functionality, so verify their availability for your use case.
Install
airbyte-connector-models on PyPI
Before you install
Low install friction with a pure-Python wheel and four runtime dependencies (airbyte-api, airbyte-cdk, pydantic, requests). Package is actively maintained with a recent release.
Requires Python >=3.10,<3.13; connector-specific model paths depend on which Airbyte connectors you need to configure.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal restrictions, making it safe for both open-source and commercial projects.
Quickstart
pip install airbyte-connector-models
from airbyte_connector_models.connectors.postgres.source.config import SourcePostgresConfigSpec
config = SourcePostgresConfigSpec(
host="localhost",
port=5432,
database="mydb",
username="user",
password="pass"
)Verify before relying
- Whether record models (noted as 'planned functionality') are fully available or still under development in version 0.1.9.
- The frequency and reliability of nightly model regeneration and how breaking schema changes are handled.
- Whether additional properties support works as documented for connectors with custom or undocumented fields.
Package facts
| License | MIT permissive |
| Python support | Capped below the current Python release <3.13,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesairbyte-apiairbyte-cdkpydanticrequests |
| Maintenance | Actively maintained 0 days since the last release |
| First released | |
| Downloads | 119,890 / month, #12,051 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: airbyte_connector_models-0.1.9-py3-none-any.whl
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