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74 Repos

Awesome GitHub RepositoriesContainer Image Packaging

Tools and processes for bundling applications into container images.

Distinguishing note: Focuses on the creation of images for deployment.

Explore 74 awesome GitHub repositories matching devops & infrastructure · Container Image Packaging. Refine with filters or upvote what's useful.

Awesome Container Image Packaging GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • moby/mobyAvatar von moby

    moby/moby

    71,729Auf GitHub ansehen↗

    Moby is an OCI container engine and runtime manager designed for building, running, and managing isolated containers based on Open Container Initiative standards. It functions as a container daemon and image builder, providing a core engine to orchestrate the full lifecycle of containers and the packaging of source code into portable images. The project provides a standardized HTTP interface that allows for programmatic container management, enabling external clients to control daemon settings and container operations. It supports a rootless security model, allowing the engine daemon to execu

    Implements tools for bundling applications and their dependencies into portable container images.

    Gocontainersdockergo
    Auf GitHub ansehen↗71,729
  • jellyfin/jellyfinAvatar von jellyfin

    jellyfin/jellyfin

    53,338Auf GitHub ansehen↗

    Jellyfin is a self-hosted media server that organizes digital media collections and streams content to various client devices over a local or remote network. It utilizes a client-server architecture that separates media processing and storage from user interfaces, communicating through a standardized web-based application programming interface. The platform is designed for cross-platform hosting, running consistently across Linux, Windows, and macOS through native binaries or containerized environments. It features a hardware-accelerated transcoding engine that offloads intensive video conver

    Bundles source code into isolated container images to ensure consistent deployment and execution.

    C#csharpdotnethacktoberfest
    Auf GitHub ansehen↗53,338
  • eugenp/tutorialsAvatar von eugenp

    eugenp/tutorials

    37,340Auf GitHub ansehen↗

    This project is a collection of educational resources and step-by-step tutorials for Java backend development. It provides implementation guides for building web services and applications using the Spring Boot framework, focusing on the development of data streams and concurrent tasks. The repository includes technical walkthroughs for Kubernetes cluster automation, specifically regarding the creation of custom operators and admission controllers. It also serves as a manual for cloud native integration, covering the packaging of applications into containers and the use of distributed event me

    Covers the process of packaging Java applications into portable container images for consistent cloud deployments.

    Java
    Auf GitHub ansehen↗37,340
  • alexellis/faasAvatar von alexellis

    alexellis/faas

    26,192Auf GitHub ansehen↗

    This project is a Kubernetes serverless framework and OCI container function platform. It provides a system for deploying event-driven functions and microservices as compatible container images onto a Kubernetes cluster. The platform includes an event-driven function orchestrator that triggers executions via HTTP requests or message streams. It features an auto-scaling function manager that adjusts the number of active instances based on real-time demand and scales down to zero during inactivity. A background queuing system is included to process asynchronous tasks and maintain application re

    Packages functions and binaries into standardized OCI-compliant container images for consistent Kubernetes deployment.

    Go
    Auf GitHub ansehen↗26,192
  • yeasy/docker_practiceAvatar von yeasy

    yeasy/docker_practice

    26,111Auf GitHub ansehen↗

    This project is a Docker educational resource and a collection of practical examples designed for learning containerization technologies. It serves as a guide for understanding container fundamentals, including the creation and management of custom images and the use of registries. The repository provides specialized references for container security hardening, such as managing kernel privileges and implementing supply chain security. It also includes tutorials for multi-container orchestration and a DevOps guide focused on CI/CD automation and image optimization. The material covers a broad

    Provides tools and processes for bundling applications into immutable container images.

    Gobookcloud-computingcontainer
    Auf GitHub ansehen↗26,111
  • rancher/rancherAvatar von rancher

    rancher/rancher

    25,692Auf GitHub ansehen↗

    Rancher is a Kubernetes management platform and multi-cluster orchestrator. It provides a centralized dashboard and container management interface for deploying, scaling, and administering multiple Kubernetes clusters across on-premises and cloud environments. The system includes a cluster provisioner that automates the creation and bootstrapping of clusters using standardized configurations. It secures management traffic through SSL certificate management and termination, supporting both custom certificates and automated validation via Let's Encrypt. The platform covers enterprise API audit

    Packages compiled binaries into deployable OCI-compliant container images for cluster distribution.

    Go
    Auf GitHub ansehen↗25,692
  • pypa/pipenvAvatar von pypa

    pypa/pipenv

    25,066Auf GitHub ansehen↗

    Pipenv is a Python dependency manager and virtual environment manager that ensures reproducible environments across different systems. It functions as a lockfile resolver, generating deterministic lockfiles from high-level dependency constraints to prevent version drift. The tool integrates project workflow automation by loading environment variables and executing custom project scripts. It also includes security auditing capabilities to scan installed packages for known vulnerabilities. The system covers a broad range of capabilities including dependency version locking, package installatio

    Creates standardized container images of the environment to ensure consistent cross-system execution.

    Python
    Auf GitHub ansehen↗25,066
  • apache/skywalkingAvatar von apache

    apache/skywalking

    24,839Auf GitHub ansehen↗

    SkyWalking is an application performance monitoring system and observability platform designed to collect and analyze metrics, traces, and logs from distributed microservices. It functions as a distributed tracing platform and a telemetry data pipeline that ingests and aggregates observability data from various language agents. The project features an AI-powered anomaly detector that uses machine learning to calculate metric baselines and identify irregular URI patterns. It includes an eBPF performance profiler for diagnosing CPU and network bottlenecks at the kernel level and generates inter

    Packages applications into container images for multiple hardware architectures and pushes them to registries.

    Javaapmdapperdistributed-tracing
    Auf GitHub ansehen↗24,839
  • wsargent/docker-cheat-sheetAvatar von wsargent

    wsargent/docker-cheat-sheet

    22,529Auf GitHub ansehen↗

    This project is an administrative reference for Docker, providing guides and command references for system maintenance, image building, network configuration, and security hardening. It serves as a comprehensive manual for managing the container lifecycle and performing general system administration. The reference covers the construction and optimization of images through build files, layering strategies, and registry integration. It also provides instructions for configuring isolated virtual networks, mapping ports, and implementing security hardening using Linux capabilities and read-only f

    Details how to package container filesystems into archives for portability across different environments.

    Auf GitHub ansehen↗22,529
  • googlecontainertools/distrolessAvatar von GoogleContainerTools

    GoogleContainerTools/distroless

    22,254Auf GitHub ansehen↗

    Distroless provides a collection of security-hardened, minimal base container images designed to reduce attack surfaces by excluding non-essential system utilities, package managers, and shells. These images are constructed to contain only an application and its specific runtime dependencies, enforcing the principle of least privilege by configuring environments for non-root execution. The project distinguishes itself through a focus on supply chain integrity and reproducible builds. It utilizes declarative build configurations to track package versions and validates container image integrity

    Bundles applications into stripped-down container images containing only essential dependencies to minimize attack surfaces.

    Starlarkbazeldocker
    Auf GitHub ansehen↗22,254
  • jina-ai/serveAvatar von jina-ai

    jina-ai/serve

    21,859Auf GitHub ansehen↗

    Serve is a multimodal AI orchestrator and inference server designed for deploying and scaling machine learning models as cloud-native services. It functions as a containerized workflow engine and distributed service mesh that routes multimodal data through connected execution units. The framework provides specialized capabilities for large language models, including a token streaming gateway that delivers generated text incrementally to reduce perceived latency. It distinguishes itself by enabling the chaining of executors into complex data processing pipelines and the orchestration of these

    Provides tools and processes for bundling machine learning models and dependencies into container images for deployment.

    Pythoncloud-nativecncfdeep-learning
    Auf GitHub ansehen↗21,859
  • dotnet/coreAvatar von dotnet

    dotnet/core

    21,897Auf GitHub ansehen↗

    This project is a cross-platform development framework and managed runtime environment designed for building high-performance applications. It provides a comprehensive toolkit for constructing web services, cloud-native microservices, and desktop applications, utilizing a unified runtime that handles memory management and execution across diverse operating systems. The framework distinguishes itself through a native ahead-of-time compilation toolchain that transforms source code into optimized, self-contained machine code binaries. This capability enables fast startup times and reduced memory

    Compiles and bundles application code into portable images for deployment across diverse infrastructure.

    PowerShelldotnetdotnet-core
    Auf GitHub ansehen↗21,897
  • prefecthq/prefectAvatar von PrefectHQ

    PrefectHQ/prefect

    21,640Auf GitHub ansehen↗

    Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as Python code. It functions as a container-native engine that wraps individual tasks in isolated environments, ensuring consistent dependencies and resource allocation across diverse infrastructure. By utilizing a state-machine-based orchestration model, the system tracks execution progress through discrete transitions and persistent event logs to maintain reliable and observable task processing. The platform distinguishes itself through a decoupled worker-API architecture, which sep

    Packages workflow code into container images to ensure consistent and reproducible execution environments.

    Pythonautomationdatadata-engineering
    Auf GitHub ansehen↗21,640
  • crystal-lang/crystalAvatar von crystal-lang

    crystal-lang/crystal

    20,299Auf GitHub ansehen↗

    Crystal is a statically typed, compiled programming language designed for high performance and memory safety. It leverages an LLVM-based compiler to translate source code into optimized machine-executable binaries, while its type-inference-based static analysis enforces strict safety rules during the build process. The language distinguishes itself through a fiber-based concurrent runtime that manages lightweight execution units for asynchronous input and output without blocking the main process. It also features a powerful compile-time macro system that allows for the inspection and transfor

    Bundles compiled binaries into container images for portable execution and optimized deployment.

    Crystalcompilercrystalcrystal-language
    Auf GitHub ansehen↗20,299
  • sanic-org/sanicAvatar von sanic-org

    sanic-org/sanic

    18,624Auf GitHub ansehen↗

    Sanic is an asynchronous Python web framework designed for building high-performance APIs and services. It operates as a production-ready ASGI web server, utilizing a non-blocking event loop to handle concurrent requests and maximize throughput. The framework is built to support scalable architectures, offering built-in worker process management to distribute traffic across available CPU cores. What distinguishes Sanic is its focus on modularity and developer-centric tooling. It features a blueprint-based system for organizing complex applications into pluggable components, alongside a robust

    Bundles application code and dependencies into portable images to ensure consistent execution across environments.

    Pythonapi-serverasgiasyncio
    Auf GitHub ansehen↗18,624
  • dotnet/runtimeAvatar von dotnet

    dotnet/runtime

    17,966Auf GitHub ansehen↗

    This project is a cross-platform managed execution environment and general-purpose application framework designed for building high-performance software. It provides a unified runtime that handles memory management, type safety, and code execution across diverse operating systems. By integrating a native code compilation toolchain, the platform enables developers to convert managed code into optimized machine instructions, significantly improving startup performance and reducing runtime dependencies for production environments. The framework distinguishes itself through a comprehensive toolch

    Bundles applications and dependencies into portable container images for consistent execution.

    C#dotnethacktoberfesthelp-wanted
    Auf GitHub ansehen↗17,966
  • zincsearch/zincsearchAvatar von zincsearch

    zincsearch/zincsearch

    17,862Auf GitHub ansehen↗

    Zincsearch is a high-performance, self-hosted full-text search engine and database written in Go. It provides a lightweight infrastructure for indexing and searching unstructured text data, specializing in log and event analysis through a schemaless indexing model. The system is designed as a resource-efficient alternative to heavier search infrastructure, featuring an API surface compatible with Elasticsearch for indexing and querying documents. It distinguishes itself by packaging the entire server and its built-in web search interface into a single statically linked binary. The engine cov

    Packages the application into container images with custom versioning and metadata for registry deployment.

    Goelasticsearchgogolang
    Auf GitHub ansehen↗17,862
  • dotnet/corefxAvatar von dotnet

    dotnet/corefx

    17,491Auf GitHub ansehen↗

    This project is the .NET Base Class Library, providing the foundational types and APIs required for .NET applications. It serves as a cross-platform runtime library and a standardized managed API framework, acting as the primary set of namespaces for memory management, collections, and asynchronous programming. The library enables the development of enterprise backend infrastructure and the execution of managed code consistently across different operating systems and hardware architectures. It includes capabilities for cross-platform application deployment using self-contained binaries, frame

    Bundles applications and their dependencies into container images without requiring manual Dockerfiles.

    coreclrcorefxcsharp
    Auf GitHub ansehen↗17,491
  • nirdiamant/agents-towards-productionAvatar von NirDiamant

    NirDiamant/agents-towards-production

    17,375Auf GitHub ansehen↗

    This project is a comprehensive framework for developing, orchestrating, and deploying autonomous agents. It provides a structured environment for building agents that utilize reasoning loops to perform multi-step tasks, manage state through graph-based workflows, and interact with external tools. By mapping unstructured model outputs into typed schemas, the framework ensures reliable integration with downstream application logic. The platform distinguishes itself through a focus on production-grade reliability and security. It incorporates hybrid memory systems that combine vector embeddings

    Packages agentic applications into portable container images for consistent deployment.

    Jupyter Notebookagentagent-frameworkagents
    Auf GitHub ansehen↗17,375
  • ipfs/kuboAvatar von ipfs

    ipfs/kubo

    17,056Auf GitHub ansehen↗

    Kubo is a peer-to-peer implementation of the InterPlanetary File System (IPFS) designed for decentralized data storage and content delivery. It uses content-addressing, directed acyclic graphs, and distributed hash tables to identify, distribute, and retrieve data across a network without relying on central servers. The project differentiates itself by providing a virtual filesystem via FUSE, which maps decentralized network namespaces to local operating system directories for direct file access. It also includes integrated HTTP gateways that translate peer-to-peer content into standard web t

    Packages the node as a portable image with pre-configured networking ports and volume persistence.

    Goipfs
    Auf GitHub ansehen↗17,056
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  3. Container Image Packaging

Unter-Tags erkunden

  • Container Filesystem ComparatorsTools that identify differences in file contents, packages, and metadata between two container images. **Distinct from Container Image Packaging:** Distinct from Container Image Packaging: focuses on comparative analysis rather than image creation.
  • Containerized Task Execution1 Sub-TagMechanisms for packaging and running workflow tasks within isolated container environments. **Distinct from Container Image Packaging:** Distinct from general image packaging: focuses on the runtime execution of tasks within containers rather than just image creation.
  • Image Archive Portability1 Sub-TagProcesses for packaging container filesystems into tar archives for export and import across environments. **Distinct from Container Image Packaging:** Focuses specifically on archive-based portability rather than just bundling for deployment.
  • Infrastructure API PackagingBundles infrastructure definitions and business logic into container-compliant images for distribution. **Distinct from Container Image Packaging:** Distinct from Container Image Packaging: focuses on bundling infrastructure definitions and logic for custom APIs rather than general application packaging.
  • Java Packaging PluginsBuild plugins that package Java applications into container images. **Distinct from Container Image Packaging:** Focuses on language-specific Java packaging, distinct from general container packaging.
  • Local Build Engines1 Sub-TagTools that leverage local container runtimes to construct and package application images from source code. **Distinct from Container Image Packaging:** Distinct from general packaging: specifically covers the use of local host resources and container daemons for image construction.
  • Port and Hostname ConfigurationsContainer image packaging with network port exposure and hostname restriction settings. **Distinct from Container Image Packaging:** Includes domain-based hostname restrictions and port exposure for deployment.