dhi.io/airflow
Airflow
Apache Airflow is a platform created by the community to programmatically author, schedule and monitor workflows.
pushed 19 hours ago
linux/amd64, linux/arm64
381.20 MB
for linux/amd64
609
for linux/amd64
Active support
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Build Level 3
Tamper-evident proof of how and from what sources this image was built. Build Level 3 is the highest the SLSA build track defines.
CycloneDX SBOM + SPDX SBOM
A software bill of materials in both CycloneDX and SPDX formats so it drops straight into your existing tooling. Audit exactly what you're shipping.
A Vulnerability Exploitability exchange document, Docker's assessment of which CVEs actually affect this image and which don't apply, so you can focus on real risk instead of chasing false positives.
Available
A link to everything used to build the image, package source code, Git repos, and build files, so you can audit or reproduce the build and stay compliant with open source licenses.
Every known vulnerability in this image, shown in full rather than hidden. The VEX data flags which ones actually apply, so you can tell real exposure from noise before you ship.
Exactly what changed in this build, down to the package bumps and fixes behind the version you're pulling.
Verifies no keys, tokens, or credentials were accidentally baked into the image.
The image layers were scanned for known malware signatures before publishing.
About Airflow
Apache Airflow is an open-source platform designed for developing, scheduling, and monitoring workflows. It allows you to programmatically author, schedule, and monitor data pipelines using Python code. Airflow provides a rich user interface for visualizing pipelines, monitoring progress, and troubleshooting issues when they arise.
With its extensible architecture, Airflow supports a wide variety of data sources and destinations through its provider packages system. It offers robust scheduling capabilities, dependency management, and extensive logging and monitoring features.
This Docker Hardened Airflow image is available in two variants:
- Core variant: A minimal runtime image equivalent to the upstream Apache Airflow "slim" tags, containing only the essential Airflow components without any provider packages
- Dev variant: A build-time image that includes all core functionality plus a shell and package manager, designed for installing providers and customizing Airflow installations
- Compat variant: A batteries-included image that includes all core functionality plus many popular airflow providers, designed as a drop-in replacement for upstream airflow images.
For more information about Apache Airflow, visit the upstream documentation at https://airflow.apache.org/docs/.
About Docker Hardened Images
Docker Hardened Images are built to meet the highest security and compliance standards. They provide a trusted foundation for containerized workloads by incorporating security best practices from the start.
Why use Docker Hardened Images?
These images are published with zero-known CVEs, include signed provenance, and come with a complete Software Bill of Materials (SBOM) and VEX metadata. They're designed to secure your software supply chain while fitting seamlessly into existing Docker workflows.
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