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-0.18.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (68.7 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ ARM64

containerhive-0.18.3-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (74.3 MB view details)

Uploaded Python 3manylinux: glibc 2.12+ x86-64

containerhive-0.18.3-py3-none-macosx_11_0_arm64.whl (73.9 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

containerhive-0.18.3-py3-none-macosx_10_9_x86_64.whl (77.8 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

File details

Details for the file containerhive-0.18.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for containerhive-0.18.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d52f99a3afb0a8d3fd3494434915d51f9fb73ea56e36012880231c305db5815a
MD5 89d8c7c511a755d6d59046dd4d9c23cf
BLAKE2b-256 8b3c00f20e510778ab7841226e73dd7fb16273bb30fef2a4d773597aac6d363c

See more details on using hashes here.

File details

Details for the file containerhive-0.18.3-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for containerhive-0.18.3-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 57656fd1e9cc78cc93839546200c8300f31d5f114c8b1727c9983c9262499160
MD5 81783f87a25063edf020f964336ee579
BLAKE2b-256 930bf7a023f33b1cd07be842dd25fe7585322aae53d384f739f2cc04440c6c0a

See more details on using hashes here.

File details

Details for the file containerhive-0.18.3-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for containerhive-0.18.3-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 737d11d77f76596cae90c662cdfac9380128cbb5f39ce86546eef31b92f98190
MD5 db9b9924486f1b70fb83ebfc14b7b1a6
BLAKE2b-256 c138c35810f8e98fc724c22cf7d1c134433f2523ccf8eaf1ef0028b92460a221

See more details on using hashes here.

File details

Details for the file containerhive-0.18.3-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for containerhive-0.18.3-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 01d4cbafe68f08ce3f64f9e92d1593b59374d7e0a793088c88ddf4eb6830f7e1
MD5 2477dfe31fd16e1bcb3173b813a6664b
BLAKE2b-256 2f8f0b5f78be866e1787f3b727ab74b576afeaf5b24837f48fb60ae66d20334a

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