airbyte
PyAirbyte
Decision gist · record as of 2026-08-14
Yes, if you need to run Airbyte connectors from Python and accept the license ambiguity. The library is actively maintained, has low install friction, and integrates well with existing Python data tools. However, verify the license terms first—the metadata does not specify one—and be aware that the 37 runtime dependencies may add setup complexity in constrained environments. Not a replacement for full Airbyte if you need orchestration, scheduling, or production monitoring.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10–3.12.
- Connectors may need additional system libraries (e.g., libpq for Postgres) or Docker if using docker_image=True.
- Cloud destination credentials must be configured via environment variables or config dicts.
License · maintenance · safety
(unclear) — License treatment is unclear; no SPDX identifier or raw license text is available in the metadata. Verify the actual license before use in proprietary or restricted contexts.
last release 2026-08-14 (0 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 955,455 downloads/mo, #4,647 on PyPI
Alternatives
Verify before relying
pip install airbyte
import airbyte as ab
source = ab.get_source('source-postgres', config={...})
dest = ab.get_destination('destination-snowflake', config={...})
ab.run(source, dest)- Exact license terms and any restrictions on commercial use or redistribution.
- Whether all 37 runtime dependencies are truly required for basic use or if subsets can be installed conditionally.
- Compatibility and stability with orchestration frameworks (Airflow, Dagster, Snowpark) mentioned in the description.
What it is and what it does
PyAirbyte is a Python library that brings Airbyte's connector ecosystem into your code without requiring the full Airbyte platform. It lets you instantiate data sources (like Postgres, Shopify, GA4, or CoinAPI) and destinations (like Snowflake or DuckDB) as Python objects, then extract and load data using simple method calls. You can cache data locally, transform it with pandas or other tools, and integrate the whole pipeline into existing Python workflows—including orchestration frameworks like Airflow or Dagster.
The library supports both declarative YAML-based connectors and Python-based ones. For Python connectors, it defaults to using `uv` for fast installation, with fallback to `pip`, and lets you specify custom Python versions per connector if needed. You can also run connectors in Docker for better isolation and dependency management. It's designed for developers building ETL pipelines, testing connectors, or embedding data integration into applications—not as a replacement for Airbyte's orchestration and scheduling features.
Use it for
- Extract data from a SaaS API (Shopify, GA4, GitHub) and load it into a data warehouse (Snowflake, BigQuery) or local cache in a Python script.
- Build a lightweight ETL pipeline in Airflow or Dagster that pulls from multiple sources and lands data in your preferred destination.
- Test and develop new Airbyte connectors locally using Python before publishing them.
- Combine Airbyte connectors with pandas transformations in a Jupyter notebook for ad-hoc data analysis and export.
- Cache incremental data syncs locally (e.g., Postgres to DuckDB) and query them with SQL in the same Python process.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to run Airbyte connectors from Python and accept the license ambiguity.
The library is actively maintained, has low install friction, and integrates well with existing Python data tools. However, verify the license terms first—the metadata does not specify one—and be aware that the 37 runtime dependencies may add setup complexity in constrained environments. Not a replacement for full Airbyte if you need orchestration, scheduling, or production monitoring.
Install
airbyte on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance as of release date. Requires Python 3.10–3.12; note that 37 runtime dependencies including database drivers (psycopg, snowflake-connector-python, duckdb) and cloud SDKs (google-cloud-bigquery, etc.) will be pulled in, which may add setup time depending on your environment.
Requires Python 3.10–3.12. Connectors may need additional system libraries (e.g., libpq for Postgres) or Docker if using docker_image=True. Cloud destination credentials must be configured via environment variables or config dicts.
License in practice
License treatment is unclear; no SPDX identifier or raw license text is available in the metadata. Verify the actual license before use in proprietary or restricted contexts.
Quickstart
pip install airbyte
import airbyte as ab
source = ab.get_source('source-postgres', config={...})
dest = ab.get_destination('destination-snowflake', config={...})
ab.run(source, dest)Verify before relying
- Exact license terms and any restrictions on commercial use or redistribution.
- Whether all 37 runtime dependencies are truly required for basic use or if subsets can be installed conditionally.
- Compatibility and stability with orchestration frameworks (Airflow, Dagster, Snowpark) mentioned in the description.
Package facts
| License | Not declared unclear |
| Python support | Capped below the current Python release <3.13,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 37 packagesairbyte-apiairbyte-cdkairbyte-protocol-models-pdv2cryptographycycloptsduckdb-engineduckdbfastmcp-extensionsfastmcpgoogle-authgoogle-cloud-bigquery-storagegoogle-cloud-bigquerygoogle-cloud-secret-managerjsonschemaorjsonoverridespandasprefab-uipsycopg2-binarypsycopgpyarrowpydantic-corepydanticpython-dotenvpython-ulidpyyamlrequestsrichsnowflake-connector-pythonsnowflake-sqlalchemy |
| Maintenance | Actively maintained 0 days since the last release |
| First released | |
| Downloads | 955,455 / month, #4,647 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: airbyte-0.55.2-py3-none-any.whl
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See also airbyte-api · airbyte-cdk · airbyte-source-declarative-manifest · airbyte-connector-models · dagster-airbyte · fivetran-connector-sdk · apache-airflow-providers-airbyte · airbyte-protocol-models · airbyte-protocol-models-pdv2 · airbyte-protocol-models-dataclasses