{"categories":[{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing/2"}],"enrichment":{"capability":"Integrates Airbyte data connectors with Dagster's orchestration engine to define and run data ingestion assets as part of declarative data pipelines.","skillfed_tags":["data-orchestration","etl-integration"],"use_cases":["Define Airbyte data connectors as Dagster assets to orchestrate recurring data ingestion alongside downstream transformations.","Build multi-stage data pipelines that combine Airbyte ingestion with Dagster-orchestrated transformations and ML model training.","Centralize observability and lineage tracking for data flows that start with Airbyte connectors using Dagster's web UI.","Test data ingestion logic locally during development before deploying to production orchestration."],"what_it_does":"dagster-airbyte bridges Airbyte's data connectors with Dagster's declarative asset model, allowing you to define data ingestion workflows as Python functions that Dagster orchestrates. It depends on dagster, python-dateutil, and requests, and is designed to fit into Dagster's broader data pipeline orchestration framework\u2014letting you compose Airbyte-sourced data with transformations and other assets in a single, testable codebase.\n\nThe package is part of Dagster's growing integration library and is maintained alongside the core Dagster project. It supports Python 3.10 through 3.14 and carries an Apache-2.0 license, making it suitable for both open-source and commercial use.","worth_installing":"Yes. The package has low install friction, active maintenance, no known vulnerabilities, and a permissive license. Install it if you are already using Dagster for orchestration and want to integrate Airbyte connectors as declarative assets; it is not necessary if you are not using Dagster or do not need Airbyte integration."},"id":"dagster-airbyte","links":{"html":"https://skillfed.io/packages/dagster-airbyte","md":"https://skillfed.io/packages/dagster-airbyte.md","pypi":"https://pypi.org/project/dagster-airbyte/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"dagster-airbyte","python_support":"supports_current","summary":"Package for integrating Airbyte with Dagster."},"popularity":{"monthly_downloads":206459,"position":9572,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.29.18"}