Docker

apko

🔧🔗https://github.com/chainguard-dev/apko

Build OCI images from APK packages directly without Dockerfile

🔧🔗https://github.com/goauthentik/fips

🔧🔗https://github.com/regclient/regclient

Docker and OCI Registry Client in Go and tooling using those libraries.

packer plugin - Docker

https://github.com/hashicorp/packer-plugin-docker Packer plugin for Docker Builder

RUNC

🔧🔗https://github.com/opencontainers/runc

Spawn and run containers

Buildah

https://github.com/containers/buildah

A tool that facilitates building OCI images.

🔧🔗https://github.com/hadolint/language-docker

Haskell Dockerfile parser, pretty-printer and EDSL

🔧🔗https://github.com/chevereto/docker

Template project for deploying Chevereto V4 based applications using Docker

🔧🔗https://github.com/docker/docker-language-server Language server for Dockerfiles, Compose files, and Bake files

🔧🔗https://github.com/docker/docker-py

A Python library for the Docker Engine API

OCI Distribution spec

🔧🔗https://github.com/opencontainers/distribution-spec

OCI Image Spec

OCI Image Format

🔧🔗 github.com/opencontainers/image-spec

🕸️🔗 opencontainers.org

https://github.com/anyproto/any-sync-dockercompose docker-compose for testing any-sync

OCI Runtime Spec

🔧🔗https://github.com/opencontainers/runtime-spec

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴 https://github.com/decodingml/llm-twin-course

🔧🔗https://github.com/IBM/mcp-context-forge A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).

Gotify Build

🔧🔗https://github.com/gotify/build The build environment for gotify/server and plugins.

🔧🔗https://github.com/cars10/autodok

restart your containers with a new image

autodok provides an API to restart your running docker containers with a new image. It is similar to watchtower, but it does not poll for new images - autodok only updates images & containers on-demand. It is intended to be triggered by your CI pipeline, the recommended workflow is:

You push new code This triggers your CI to build & push a new image Your CI sends a POST request to autodok with the name of your running container and the new image:tag

autodok will download the new image and restart the container with the new image

🔧🔗https://github.com/openscad/docker-openscad

OpenSCAD-related docker files

llama server

🔧🔗https://github.com/maragudk/llama-server A simple layer on top of ghcr.io/ggml-org/llama.cpp:server to load GGUF models from assets.maragu.dev at runtime.