dhi.io/jupyterhub-k8s-singleuser-sample
JupyterHub K8s Singleuser Sample
A minimal JupyterLab single-user server image for JupyterHub on Kubernetes.
pushed 1 day ago
linux/amd64, linux/arm64
116.17 MB
for linux/amd64
348
for linux/amd64
Active support
-
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 JupyterHub K8s Singleuser Sample
JupyterHub K8s Singleuser Sample is the single-user notebook server image used by Zero to JupyterHub on Kubernetes (Z2JH). When JupyterHub spawns a notebook session for a user, it launches a pod running this image. This Docker Hardened Image tracks the singleuser-sample image built from the Z2JH images/singleuser-sample context and provides JupyterLab together with nbgitpuller and nbclassic.
The container runs as the jovyan user (UID 1000, GID 100). This is the JupyterHub community standard single-user account: the name and UID are intentionally fixed so that volume mounts, shared filesystems, and spawner security contexts align consistently across JupyterHub deployments. Port 8888 is the default JupyterLab listen port.
For more details, visit https://z2jh.jupyter.org.
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 near-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.
Trademarks
Jupyter, JupyterHub, JupyterLab, and other Jupyter word marks are trademarks of LF Charities, of which Project Jupyter is a part. All rights in those marks are reserved to LF Charities. Any use by Docker is for referential purposes only and does not indicate sponsorship, endorsement, or affiliation.
Kubernetes is a registered trademark of the Linux Foundation in the United States and other countries. Any use by Docker is for referential purposes only and does not indicate sponsorship, endorsement, or affiliation.
This listing is prepared by Docker. Other third-party product names, logos, and trademarks are the property of their respective owners and are used solely for identification. Docker claims no interest in those marks, and no affiliation, sponsorship, or endorsement is implied.