Packages
Integrates Celery distributed task execution with Apache Airflow, enabling workers to process DAG tasks across a cluster using Celery as the task queue backend.
Install only if you have a Celery broker already running or planned; it is not useful without one.
Provides Apache Airflow operators and hooks to integrate IBM Cloudant databases into data pipelines, enabling read and write operations within Airflow workflows.
Integrates Apache Airflow with Kubernetes, enabling orchestration of containerized workloads and cluster operations through Airflow DAGs.
Install it if you run Airflow and need to orchestrate Kubernetes workloads.
Integrates Cohere's language model APIs into Apache Airflow workflows as operators and hooks for task orchestration.
Provides AI/LLM hooks and operators for Apache Airflow pipelines, integrating pydantic-ai to enable LLM-driven workflow tasks.
Provides compatibility code and utilities for Apache Airflow to support code across multiple Airflow versions, abstracting version-specific API differences.
Provides common I/O utilities and operators for Apache Airflow workflows, enabling standardized file and data handling across Airflow DAGs and provider integrations.
Provides common messaging abstractions and operators for Apache Airflow workflows to integrate with message brokers and cloud messaging services.
Provides common SQL operators, hooks, and utilities for Apache Airflow workflows that need to execute SQL queries and manage database connections across multiple SQL providers.
Integrates Apache Airflow with Databricks, providing operators and hooks to orchestrate Databricks jobs, SQL queries, and data workflows within Airflow DAGs.
Install only if you have an existing Airflow deployment and Databricks workspace to connect.
Integrates Apache Airflow with Datadog for monitoring, alerting, and observability of Airflow workflows and tasks.
Install it if you run Airflow and use Datadog for observability and need to integrate the two platforms.
Integrates dbt Cloud with Apache Airflow, enabling orchestration of dbt Cloud jobs and data transformation workflows within Airflow DAGs.
Install it if you use both Airflow and dbt Cloud and need to orchestrate dbt jobs within Airflow workflows.
Integrates Apache Airflow with DingTalk, enabling workflow notifications and messaging to DingTalk channels from Airflow DAGs.
Integrates Discord messaging into Apache Airflow workflows, enabling DAGs to send notifications to Discord channels.
Integrates Docker container execution into Apache Airflow workflows, enabling tasks to run inside Docker containers as part of DAG orchestration.
Install it if you need to run Docker containers as Airflow tasks.
Extends Apache Airflow with an EdgeExecutor and edge worker framework for orchestrating tasks across remote sites via HTTPS, enabling work distribution through firewalls and network restrictions.
Install only if you have a concrete edge deployment scenario; it adds no value for single-site Airflow setups.
Integrates Elasticsearch with Apache Airflow, providing operators, hooks, and sensors to query, index, and monitor Elasticsearch clusters within Airflow DAGs.
Install only if you have an Airflow instance >=2.11.0 and an Elasticsearch cluster >=8.10 to connect to.
Integrates Exasol database with Apache Airflow, providing operators and hooks to query, load, and manage data in Exasol clusters from Airflow workflows.
Install only if you have Airflow >=2.11.0 already running and an Exasol cluster to connect to.
Integrates Flask App Builder with Apache Airflow to provide web UI and authentication components for Airflow deployments.
Integrates Apache Airflow with Facebook Ads, enabling scheduled workflows to interact with Facebook's advertising platform through the facebook-business SDK.
Provides FTP integration for Apache Airflow, enabling workflows to connect to and interact with FTP servers as part of data pipeline orchestration.
Install only if you have an existing Airflow deployment and require FTP operations; it is not a standalone tool.
Integrates Git version control operations into Apache Airflow workflows, enabling DAGs to clone, pull, and interact with Git repositories as part of data pipeline orchestration.
Provides GitHub integration operators and hooks for Apache Airflow, enabling workflows to interact with GitHub repositories, issues, pull requests, and other resources.
Install it if you need to integrate GitHub into Airflow workflows; skip it if you have no Airflow deployment or no GitHub integration requirements.
Integrates Apache Airflow with Google Cloud services (BigQuery, Cloud Storage, Pub/Sub, Dataflow, AI Platform, and others) and Google Workspace, Ads, Analytics, and Firebase through provider operators and hooks.
Integrates gRPC communication into Apache Airflow workflows, enabling task operators and hooks to call remote gRPC services.
Install only if you have an Airflow >=2.11.0 environment already in place and gRPC endpoints to call.
Integrates Apache Airflow with HashiCorp Vault and other HashiCorp services, enabling Airflow workflows to authenticate, retrieve secrets, and interact with HashiCorp infrastructure.
Provides HTTP operators, hooks, and sensors for Apache Airflow to make HTTP requests and integrate with HTTP-based services in data pipelines.
Install it if you need to make HTTP requests or call REST APIs from Airflow workflows.
Integrates IMAP email protocol support into Apache Airflow, enabling workflows to connect to and interact with IMAP mail servers.
Install only if you have Airflow >=2.11.0 already running and a genuine need for IMAP connectivity.
Integrates InfluxDB time-series database with Apache Airflow, providing operators and hooks to read from and write to InfluxDB instances within Airflow DAGs.
Install only if you actually use InfluxDB; it adds a dependency chain that is unnecessary otherwise.
Provides Apache Airflow integration operators and hooks for orchestrating Informatica workflows as part of Airflow DAGs.
Provides Apache Airflow integration for executing queries and operations against JDBC-compatible databases through jaydebeapi and jpype1 bridges to Java.
The main gotcha is jpype1's platform-specific constraints; verify those match your deployment environment before committing.
Integrates Jenkins CI/CD systems into Apache Airflow workflows, enabling orchestration of Jenkins jobs as Airflow tasks.
Install it if you run Airflow and need to orchestrate Jenkins jobs; the only prerequisite is an existing Airflow 2.11.0+ installation and a Jenkins server to connect to.
Integrates Apache Airflow with Atlassian Jira, enabling workflow orchestration to create, query, and manage Jira issues as part of data pipelines.
Yes, but with strong conditions: install only if you are already running Airflow 2.2+ and need Jira integration.
Integrates Keycloak identity and access management with Apache Airflow, enabling authentication and authorization workflows within Airflow DAGs and operators.
Install only if Keycloak integration is a requirement; it is not a general-purpose Airflow enhancement.
Integrates Apache Airflow with Microsoft Azure services, providing operators, hooks, and sensors to orchestrate Azure resources and data workflows.
Provides Apache Airflow operators to trigger, monitor, and orchestrate Microsoft Fabric jobs (notebooks, pipelines, Spark jobs) and semantic model refreshes from DAGs.
However, verify the license is compatible with your project, confirm Alpha status does not block your use case, and test thoroughly in a non-production environment…
Integrates Microsoft SQL Server (MSSQL) with Apache Airflow, providing operators, hooks, and sensors to query and execute MSSQL databases within Airflow workflows.
Install it if you run Airflow and need to orchestrate MSSQL tasks.
Integrates Apache Airflow with PowerShell Remoting Protocol (PSRP) to enable remote command execution on Windows systems as part of Airflow workflows.
Integrates Windows Remote Management (WinRM) into Apache Airflow, enabling orchestration of tasks that execute commands on Windows systems via remote management protocols.
Integrates MongoDB with Apache Airflow as a provider package, enabling DAG tasks to connect to, query, and manage MongoDB databases.