airbyte-api
Python Client SDK for Airbyte API
Decision gist · record as of 2026-08-14
Yes, if you need to automate Airbyte operations. The SDK has low install friction, active maintenance, no known vulnerabilities, and sits in the top 5000 packages by download volume. The main caveat is that the license status is unclear—verify the actual license in the repository before using in proprietary work. Requires Python 3.10+.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- You must obtain an API Key from the Airbyte Developer Portal before making requests.
- Low friction installation with a pure-Python wheel and three common dependencies (httpx, httpcore, pydantic).
License · maintenance · safety
(unclear) — License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms in the repository before using in proprietary or commercial contexts.
last release 2026-06-23 (52 days) · last repo commit 2026-08-10 · 61 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 5,676,101 downloads/mo, #2,056 on PyPI
Alternatives
Verify before relying
pip install airbyte-api
from airbyte_api import AirbyteAPI, models
with AirbyteAPI(
security=models.Security(
basic_auth=models.SchemeBasicAuth(
password="your_password",
username="your_username",
),
),
) as client:
res = client.connections.create_connection(request={
"source_id": "...",
"destination_id": "...",
"name": "My Connection",
})- Whether the SDK supports all Airbyte deployment types (Cloud, OSS, Enterprise) equally or with differences.
- Rate limiting, retry behavior, and timeout defaults for API requests.
- Whether async operations require additional setup or dependencies beyond what is listed.
What it is and what it does
airbyte-api is a Python SDK that wraps the Airbyte API, letting you programmatically create, update, delete, and manage connections, sources, destinations, and other Airbyte resources. It uses httpx and pydantic under the hood to handle HTTP requests and data validation. The SDK supports both synchronous and asynchronous workflows, so you can integrate Airbyte automation into scripts, applications, or orchestration tools.
You authenticate using API Keys from the Airbyte Developer Portal and then interact with resources like connections through a client object. The SDK is actively maintained and requires Python 3.10 or later. It's designed for developers who want to automate data pipeline operations without manually calling REST endpoints.
Use it for
- Automate creation and management of data connections between sources and destinations in Airbyte Cloud.
- Build custom orchestration workflows that trigger Airbyte syncs or manage connection configurations programmatically.
- Integrate Airbyte operations into CI/CD pipelines or infrastructure-as-code deployments.
- Dynamically provision data pipelines for multi-tenant SaaS applications using Airbyte as the backbone.
- Monitor and update connection details, namespace formats, and other settings without manual portal access.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to automate Airbyte operations.
The SDK has low install friction, active maintenance, no known vulnerabilities, and sits in the top 5000 packages by download volume. The main caveat is that the license status is unclear—verify the actual license in the repository before using in proprietary work. Requires Python 3.10+.
Install
airbyte-api on PyPI
Before you install
Low friction installation with a pure-Python wheel and three common dependencies (httpx, httpcore, pydantic). Actively maintained with a recent release 52 days ago and ongoing repository activity.
Requires Python 3.10 or later. You must obtain an API Key from the Airbyte Developer Portal before making requests.
License in practice
License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms in the repository before using in proprietary or commercial contexts.
Quickstart
pip install airbyte-api
from airbyte_api import AirbyteAPI, models
with AirbyteAPI(
security=models.Security(
basic_auth=models.SchemeBasicAuth(
password="your_password",
username="your_username",
),
),
) as client:
res = client.connections.create_connection(request={
"source_id": "...",
"destination_id": "...",
"name": "My Connection",
})Verify before relying
- Whether the SDK supports all Airbyte deployment types (Cloud, OSS, Enterprise) equally or with differences.
- Rate limiting, retry behavior, and timeout defaults for API requests.
- Whether async operations require additional setup or dependencies beyond what is listed.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packageshttpcorehttpxpydantic |
| Maintenance | Actively maintained 52 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 5,676,101 / month, #2,056 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: airbyte_api-1.0.1-py3-none-any.whl
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See also airbyte · apache-airflow-providers-airbyte · dub · airbyte-cdk · airbyte-internal-ops · dagster-airbyte · airbyte-source-declarative-manifest · airbyte-protocol-models · kombo · airbyte-connector-models