apache-airflow-providers-keycloak
Provider package apache-airflow-providers-keycloak for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you run Apache Airflow 3.0.0+ and need Keycloak-based authentication or authorization. The package is actively maintained, has no known vulnerabilities, installs with low friction, and is permissively licensed. Install only if Keycloak integration is a requirement; it is not a general-purpose Airflow enhancement.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Apache Airflow >=3.0.0 and Python >=3.10; python-keycloak >=5.0.0 must be installed.
- Low install friction with a pure-Python wheel.
- Active maintenance: last commit 2026-08-14, released 17 days ago.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive). No restrictions on commercial use, modification, or redistribution provided the license and copyright notice are included.
last release 2026-07-28 (17 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 432,219 downloads/mo, #6,710 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-keycloak
from airflow.providers.keycloak import ...
# Use Keycloak provider classes for authentication/authorization in Airflow- Specific Keycloak provider classes, operators, and hooks available in the package.
- Whether the package provides connection types, sensors, or transfer operators beyond authentication.
- Integration scope: does it cover Airflow UI authentication, DAG-level authorization, or both?
What it is and what it does
This is an Apache Airflow provider package that bridges Keycloak, an open-source identity and access management system, with Airflow's orchestration and scheduling platform. It enables developers and system administrators to use Keycloak for authentication and authorization within Airflow environments, allowing centralized identity management across Airflow deployments.
The package is maintained as part of the Apache Airflow ecosystem and requires Airflow 3.0.0 or later. It depends on python-keycloak for Keycloak client functionality and the common-compat provider for cross-provider compatibility. The package supports Python 3.10 through 3.14 and is classified as production-stable.
Use it for
- Authenticate Airflow users against a centralized Keycloak identity provider instead of local Airflow credentials.
- Enforce role-based access control (RBAC) in Airflow using Keycloak roles and permissions.
- Integrate Airflow with enterprise single sign-on (SSO) systems that use Keycloak.
- Manage Airflow DAG and task-level authorization through Keycloak groups and roles.
- Synchronize user identities and permissions between Keycloak and multiple Airflow instances.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you run Apache Airflow 3.0.0+ and need Keycloak-based authentication or authorization.
The package is actively maintained, has no known vulnerabilities, installs with low friction, and is permissively licensed. Install only if Keycloak integration is a requirement; it is not a general-purpose Airflow enhancement.
Install
apache-airflow-providers-keycloak on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance: last commit 2026-08-14, released 17 days ago. Requires apache-airflow >=3.0.0, apache-airflow-providers-common-compat >=1.12.0, and python-keycloak >=5.0.0.
Requires Apache Airflow >=3.0.0 and Python >=3.10; python-keycloak >=5.0.0 must be installed.
License in practice
Licensed under Apache-2.0 (permissive). No restrictions on commercial use, modification, or redistribution provided the license and copyright notice are included.
Quickstart
pip install apache-airflow-providers-keycloak
from airflow.providers.keycloak import ...
# Use Keycloak provider classes for authentication/authorization in AirflowVerify before relying
- Specific Keycloak provider classes, operators, and hooks available in the package.
- Whether the package provides connection types, sensors, or transfer operators beyond authentication.
- Integration scope: does it cover Airflow UI authentication, DAG-level authorization, or both?
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesapache-airflowapache-airflow-providers-common-compatpython-keycloak |
| Maintenance | Actively maintained 17 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 432,219 / month, #6,710 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: Web EnvironmentFramework :: Apache AirflowFramework :: Apache Airflow :: ProviderIntended Audience :: DevelopersIntended Audience :: System AdministratorsProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: System :: Monitoring |
Evidence: apache_airflow_providers_keycloak-0.8.2-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “keycloak airflow integration”
- apache-airflow-providers-keycloakIntegrates Keycloak identity and access management with Apache…
- python-keycloakProvides Python bindings to the Keycloak API, supporting both OpenID…
- fastapi-keycloak-middlewareFastAPI middleware that integrates Keycloak for OIDC-based…
Give your agent the search over MCP, or paste the wish link into any chat.
More Monitoring packages
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
Provides generated Python code for OpenTelemetry semantic conventions, enabling standardized attribute naming and constant definitions for instrumentation and telemetry collection.
Install it if you are using OpenTelemetry and want to follow semantic conventions correctly.
Provides the reference implementation of the OpenTelemetry API for collecting and exporting traces, metrics, and logs from Python applications.
Provides the abstract API and interfaces for OpenTelemetry instrumentation in Python, defining how to emit traces, metrics, and logs without tying code to a specific SDK implementation.
Exports OpenTelemetry observability data to an OpenTelemetry Collector using Protobuf-encoded messages over HTTP.
Install it if you are using OpenTelemetry in Python and need to send data to a Collector over HTTP.
Provides automatic instrumentation commands and programmatic APIs to inject distributed tracing into Python applications without code changes, detecting and instrumenting packages used by your program.
Install it if you need distributed tracing without code changes and have compatible instrumented packages in your environment.
See also apache-airflow-providers-opensearch · apache-airflow-providers-git · apache-airflow-providers-akeyless · python-keycloak · apache-airflow-providers-ssh · apache-airflow-providers-asana · fastapi-keycloak-middleware · apache-airflow-providers-fab · apache-airflow-client · apache-airflow-providers-neo4j