dhi.io/uv
uv
An extremely fast Python package installer and resolver, written in Rust.
pushed 7 hours ago
linux/amd64, linux/arm64
60.77 MB
for linux/amd64
659
for linux/amd64
Active support
uv, uvx, sfw
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 uv
uv is an extremely fast Python package and project manager, written in Rust. It serves as a drop-in replacement for pip, pip-tools, pipx, poetry, pyenv, and virtualenv, all in a single tool. uv is 10-100x faster than pip and pip-tools without requiring Rust or even Python to be pre-installed.
uv provides a unified interface for managing Python projects, dependencies, and environments. It supports installing and managing Python versions, creating and managing virtual environments, resolving dependencies with a lightning-fast resolver, and running Python scripts and tools.
Key features include:
- Drop-in replacement for pip, pip-tools, and virtualenv
- 10-100x faster than pip
- Disk-space efficient with a global cache
- Reproducible builds with lockfiles
- Cross-platform support (Windows, macOS, Linux)
- Python version management
- Script execution without installation
For more details, visit https://github.com/astral-sh/uv.
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
uv is a project by Astral. All rights are reserved to Astral. Any use by Docker is for referential purposes only and does not indicate sponsorship, endorsement, or affiliation.