awesome-repositories.com
Blog
awesome-repositories.com

Descubre los mejores repositorios open-source con nuestra búsqueda potenciada por IA.

ExplorarBúsquedas curadasAlternativas open-sourceSoftware autohospedableBlogMapa del sitio
ProyectoAcerca deCómo clasificamosPrensaServidor MCP
Aviso legalPrivacidadTérminos
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

4 repositorios

Awesome GitHub RepositoriesPackage Component Deployment

Mechanisms for mapping individual package components like modules and scripts to specific filesystem locations on target systems.

Distinct from Deployment Packaging: Candidates focus on the bundle format (packaging) or the automation sequence (orchestration), not the layout mapping of components.

Explore 4 awesome GitHub repositories matching devops & infrastructure · Package Component Deployment. Refine with filters or upvote what's useful.

Awesome Package Component Deployment GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • fermyon/spinAvatar de fermyon

    fermyon/spin

    6,443Ver en GitHub↗

    Spin is a WebAssembly serverless framework and development toolchain for building and running portable microservices. It functions as an event-driven orchestrator and runtime that executes WebAssembly components, allowing developers to map HTTP requests, Redis messages, and cron schedules to specific modules. The project distinguishes itself by implementing a Wasm-based AI inference gateway, enabling components to perform model inference and generate text embeddings. It utilizes the WebAssembly Component Model and WASI for language-agnostic composition and portable host interfacing, while emp

    Allows running a specific subset of components to distribute service layers across diverse environments.

    Rust
    Ver en GitHub↗6,443
  • paradigmxyz/rethAvatar de paradigmxyz

    paradigmxyz/reth

    5,652Ver en GitHub↗

    Reth is a modular, high-performance Ethereum execution layer client written in Rust. It serves as a full Ethereum node that syncs, validates, and serves blockchain data, functioning as an archive node implementation, a high-throughput RPC node server, and a snapshot sync tool. The project is built around a modular component architecture that allows assembling custom node behavior by swapping independent Rust crates for consensus, execution, mempool, and networking. The client distinguishes itself through a staged sync pipeline that downloads headers and bodies online before processing the res

    Chooses minimal, full, or archive profiles and custom component sets through a web UI or CLI flags.

    Rust
    Ver en GitHub↗5,652
  • kserve/kserveAvatar de kserve

    kserve/kserve

    5,576Ver en GitHub↗

    KServe is a Kubernetes-native platform for deploying and serving machine learning models as scalable inference services. It supports both generative AI models, including large language models, and traditional predictive models from frameworks such as TensorFlow, PyTorch, Scikit-Learn, XGBoost, and ONNX. The platform manages the full lifecycle of model deployments, including revision tracking, canary rollouts, A/B testing, and automatic rollbacks, and provides serverless scale-to-zero capabilities for cost-efficient resource management. KServe distinguishes itself through a standardized infere

    Selects either standard Kubernetes resources or Knative Serving to match production stability or scale-to-zero needs.

    Go
    Ver en GitHub↗5,576
  • pypa/setuptoolsAvatar de pypa

    pypa/setuptools

    2,809Ver en GitHub↗

    Setuptools is a Python package build tool and distribution framework used to bundle code into distributable archives. It functions as a project metadata manager, allowing for the declarative definition of project identity, versioning, and dependencies. The toolkit distinguishes itself by providing an extension compiler for C and C++ source files and a plugin architecture that uses entry points to enable runtime discovery of functionality. It also supports development environment tooling, such as editable installs that link source code directly to the environment to allow immediate changes wit

    Places modules, scripts, and package data into the appropriate filesystem locations on a target system.

    Python
    Ver en GitHub↗2,809
  1. Home
  2. DevOps & Infrastructure
  3. Package Component Deployment

Explorar subetiquetas

  • Selective Component Deployment2 sub-etiquetasDeploying specific subsets of application modules to targeted environments. **Distinct from Package Component Deployment:** Focuses on selecting which components are deployed, rather than the filesystem mapping described in Package Component Deployment.