apache-airflow-providers-akeyless
Provider package apache-airflow-providers-akeyless for Apache Airflow
Decision gist · record as of 2026-08-14
Yes, if you run Apache Airflow and use Akeyless for secrets management. The package is actively maintained, carries no known vulnerabilities, installs with low friction, and integrates directly into Airflow's native secret-handling layer. Install it only if you have an Akeyless instance and Airflow 2.11.0+; it is not useful without both.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Apache Airflow 2.11.0 or later and an active Akeyless Vault Platform instance with configured credentials.
- Low install friction; a pure-Python wheel with three runtime dependencies.
- Actively maintained by Apache, released 17 days ago with no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache 2.0 permissive license; you can use, modify, and distribute this package freely in commercial and private projects.
last release 2026-07-28 (17 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 142,960 downloads/mo, #11,191 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-akeyless
from airflow.providers.akeyless.hooks.akeyless import AkeylessHook
hook = AkeylessHook(conn_id='akeyless_default')
secret_value = hook.get_secret(secret_name='my-secret')- Whether the package works with Akeyless Cloud ID integration without the optional akeyless_cloud_id extra.
- Performance characteristics when managing large numbers of secrets or high-frequency secret rotation.
What it is and what it does
This is an Apache Airflow provider package that connects Airflow to Akeyless Vault Platform for centralized secret management. It supplies a Hook for programmatic access, a Connection type for configuring Akeyless endpoints, and a Secrets Backend that allows Airflow to retrieve secrets directly from Akeyless instead of storing them locally. You use it when you want Airflow DAGs and tasks to authenticate with external systems, databases, or APIs using secrets stored and rotated in Akeyless.
The package requires Apache Airflow 2.11.0 or later and the akeyless Python SDK (5.0.0+). It supports Python 3.10 through 3.14 and is maintained as part of the official Apache Airflow provider ecosystem, so it receives regular updates and integrates cleanly with Airflow's native secret-handling mechanisms.
Use it for
- Retrieve database credentials from Akeyless within an Airflow task without hardcoding them in DAG code.
- Rotate API keys automatically through Akeyless while Airflow tasks continue to fetch the current version.
- Centralize secrets management across multiple Airflow instances by pointing them all to a single Akeyless vault.
- Use Akeyless dynamic secrets to generate temporary credentials with short TTLs for each Airflow task execution.
- Manage SSH keys, certificates, and other static secrets for Airflow operators that connect to external systems.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you run Apache Airflow and use Akeyless for secrets management.
The package is actively maintained, carries no known vulnerabilities, installs with low friction, and integrates directly into Airflow's native secret-handling layer. Install it only if you have an Akeyless instance and Airflow 2.11.0+; it is not useful without both.
Install
apache-airflow-providers-akeyless on PyPI
Before you install
Low install friction; a pure-Python wheel with three runtime dependencies. Actively maintained by Apache, released 17 days ago with no known vulnerabilities.
Requires Apache Airflow 2.11.0 or later and an active Akeyless Vault Platform instance with configured credentials.
License in practice
Apache 2.0 permissive license; you can use, modify, and distribute this package freely in commercial and private projects.
Quickstart
pip install apache-airflow-providers-akeyless
from airflow.providers.akeyless.hooks.akeyless import AkeylessHook
hook = AkeylessHook(conn_id='akeyless_default')
secret_value = hook.get_secret(secret_name='my-secret')Verify before relying
- Whether the package works with Akeyless Cloud ID integration without the optional akeyless_cloud_id extra.
- Performance characteristics when managing large numbers of secrets or high-frequency secret rotation.
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-compatakeyless |
| Maintenance | Actively maintained 17 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 142,960 / month, #11,191 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_akeyless-0.3.0-py3-none-any.whl
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See also akeyless · apache-airflow-providers-hashicorp · apache-airflow-providers-keycloak · akeyless-cloud-id · apache-airflow-providers-git · apache-airflow-providers-openai · apache-airflow-providers-ftp · apache-airflow-providers-telegram · apache-airflow-providers-openfaas · apache-airflow-providers-common-io