Skip to main content

Swarm it. Build it. Run it. — Managing container base and library images has never been easier.

Project description

ContainerHive

LICENSE CircleCI codecov GitHub Release Renovate pre-commit


Swarm it. Build it. Run it. — Managing container base and library images has never been easier.

Motivation

Managing container base images and library images at scale is surprisingly painful. Teams end up with scattered Dockerfiles, manual build scripts, inconsistent tagging, and no dependency tracking between images. CI pipelines are hand-rolled per project, caching is an afterthought, and reproducibility is a dream.

ContainerHive grew out of poc-container-image-manager, a Python-based proof of concept that validated the core idea: declarative, YAML-driven image management with dependency resolution, templating, and CI generation. The PoC proved the concept works — but being Python-based, it required a runtime, bundled platform-specific binaries, and wasn't practical to distribute as a single portable tool.

ContainerHive is the production-grade successor, rewritten in Go as a single static binary with no external dependencies beyond BuildKit. It takes the validated ideas from the PoC and packages them into something you can drop into any CI pipeline or developer workstation without setup overhead.

Features

  • Next-gen builds: Powered by BuildKit, the modern container image builder behind Docker.
  • Multi-platform ready: Build and push images for any architecture in a single workflow.
  • YAML-driven management: Define and maintain image sets and variants declaratively.
  • Reproducible layers: Guarantee consistent, bit-for-bit identical builds every time (given the same inputs).
  • Testing built in: Validate images as part of the build process, no extra tooling needed.
  • Smart caching: Optimized caching via S3 or registry backends, no manual tuning required.
  • SBOM generation: Generate CycloneDX SBOMs for all built images using Syft.
  • CI pipeline generation: Generate GitLab CI and GitHub Actions pipelines from your project definition.
  • Bring your own BuildKit: Connect to any BuildKit instance — local daemon, shared cluster service, or sidecar in a hardened Kubernetes environment.
  • Enterprise-ready: Built for scale, compliance, and integration with enterprise workflows.

Supported platforms

The following platforms have prebuilt binaries:

  • Linux
    • 64-bit
    • ARM 64-bit
  • Darwin
    • 64-bit (Intel)
    • ARM 64-bit (Apple Silicon)
  • Docker (x86 & ARM)

Requirements

  • BuildKit daemon
  • S3-compatible storage for caching (optional)

Installation

See the installation guide for detailed instructions.

Documentation

Documentation is available at container-hive.timo-reymann.de, hosted on GitHub Pages.

Contributing

I love your input! I want to make contributing to this project as easy and transparent as possible, whether it's:

  • Reporting a bug
  • Discussing the current state of the configuration
  • Submitting a fix
  • Proposing new features
  • Becoming a maintainer

To get started please read the Contribution Guidelines.

Development

Requirements

Test

make test-coverage-report

Build

make build

AI Usage

This project uses AI tooling to assist with development. All AI-generated or AI-assisted changes are human-reviewed and applied responsibly — this is not AI slop. Contributors are expected to uphold the same standard: AI tools are welcome, but every change must be understood, reviewed, and owned by the person submitting it.

Credits

Without these libraries this project would not be possible:

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

containerhive-0.19.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (74.1 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ ARM64

containerhive-0.19.0-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (76.7 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

containerhive-0.19.0-py3-none-macosx_11_0_arm64.whl (76.6 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

containerhive-0.19.0-py3-none-macosx_10_9_x86_64.whl (80.5 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

File details

Details for the file containerhive-0.19.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for containerhive-0.19.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1c6a1f3ffbf676f8bc0cd077e63196d176837d825f744634bd446d0904e4e772
MD5 0a135b32d37c679176cd40bcb07a284c
BLAKE2b-256 7dd90a4563108bbc4e22c6657cbafbed91e92bc3346df1622b30b1624f4bbab5

See more details on using hashes here.

File details

Details for the file containerhive-0.19.0-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for containerhive-0.19.0-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 583f9f7c4141967ed2898dd2fad837c9992333ed98ef916c2555c1691b4c8ff0
MD5 aa7cb5111fdd787734dfaaa7d0d00f6c
BLAKE2b-256 4c20393e712eb846f3de7a3a406a8975dc1e2c700993e9c71f31bfa78f843ae1

See more details on using hashes here.

File details

Details for the file containerhive-0.19.0-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for containerhive-0.19.0-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 bd6d2e119be771c57e29b9771449a31d4d1a395d453172fc87b3174490daa0ef
MD5 b6c00150efb0981a68f69f78e994d58b
BLAKE2b-256 f4f33c50b83c0c17ec267ff3780f673e1974dc00e70ef173f9ef3b257b41c281

See more details on using hashes here.

File details

Details for the file containerhive-0.19.0-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for containerhive-0.19.0-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b0640b63c4c9bbcd6c69a55d83de43cdfdbdabed08b1815ba72515459b0dd7dc
MD5 460fc3694a2c09d215ab1ca7a12d19b0
BLAKE2b-256 82f7a528c690a5c4b11175cdbb8223460294916049af45655b19d18d863b8cc5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page