2 Repos
Parsing Dockerfiles to extract required base images and dependencies.
Distinct from Dockerfile Emulation: Candidates focus on image extraction from documents or emulation, not parsing Dockerfile instructions for discovery.
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This project is a suite of utilities for binary installation, container build analysis, workspace state persistence, and automated task execution. It functions as a collection of libraries and tools designed to automate development workflows and system tasks. The toolset includes a binary installer that compiles and installs the latest versions of command-line binaries directly to the system path, and a Docker build analyzer for inspecting how instructions create filesystem layers. It also provides a task runner CLI to discover and execute predefined project development tasks, alongside a wor
Parses build instructions to map specific filesystem changes and metadata updates to resulting image layers.
diun is a monitoring service that tracks container registries for new tags or digest changes to notify users when image updates are available. It functions as a container orchestration watcher and registry notification engine, identifying images used within environments to ensure container deployments remain up to date. The project distinguishes itself by providing automated image discovery across multiple orchestrators and runtimes, including Kubernetes, Docker Swarm, Nomad, and containerd. It supports flexible configuration through YAML files, environment variables, and metadata labels or a
Parses build instructions in Dockerfiles to automatically identify container images that require monitoring.