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
·

22 repositorios

Awesome GitHub RepositoriesCloud or Self-Hosted Deployments

Offers the same feature set whether hosted by the vendor or deployed on the team's own infrastructure.

Distinct from Self-Hosted Deployments: Distinct from Self-Hosted Deployments: covers both cloud-hosted and self-hosted deployment options, not just self-hosted.

Explore 22 awesome GitHub repositories matching devops & infrastructure · Cloud or Self-Hosted Deployments. Refine with filters or upvote what's useful.

Awesome Cloud or Self-Hosted Deployments GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • basedhardware/omiAvatar de BasedHardware

    BasedHardware/omi

    12,869Ver en GitHub↗

    Omi is an open-source wearable AI platform that captures audio and screen data to provide real-time conversational assistance and memory. It integrates a wearable hardware development kit with a vector memory database and large language model capabilities to create a persistent digital record of user interactions. The platform is distinguished by its BLE audio streaming pipeline, which transmits raw audio from wearable hardware for real-time transcription and speaker identification. It utilizes a plugin-based agent tool framework that allows AI assistants to autonomously invoke custom functio

    Provides flexible deployment options allowing users to choose between a managed cloud service or a self-hosted backend.

    Dartaiappbci
    Ver en GitHub↗12,869
  • loft-sh/vclusterAvatar de loft-sh

    loft-sh/vcluster

    11,186Ver en GitHub↗

    vcluster is a Kubernetes virtual cluster platform that creates fully isolated Kubernetes environments with dedicated control planes, API servers, and RBAC on shared physical infrastructure. It virtualizes Kubernetes control planes by running them as pods inside a host cluster, as standalone binaries on bare metal or virtual machines, or within Docker containers, providing each tenant their own isolated Kubernetes environment without the overhead of managing separate physical clusters. The platform enables multi-tenant Kubernetes isolation through multiple tenancy models, from shared node pool

    Offers a hosted control plane option or a fully self-hosted installation for restricted environments.

    Gocloud-nativehelmk3s
    Ver en GitHub↗11,186
  • stevenjoezhang/live2d-widgetAvatar de stevenjoezhang

    stevenjoezhang/live2d-widget

    10,764Ver en GitHub↗

    This project provides an animated Live2D character widget that can be embedded on any web page as an interactive mascot. The widget renders characters using the Cubism SDK on an HTML canvas, and can be deployed either via a content delivery network for zero-setup integration or self-hosted on a personal server for full control over asset delivery. The mascot responds to visitor actions through CSS selector-based interaction binding, displaying custom speech bubbles when users hover over or click specific page elements. Visitors can click and drag the character to reposition it anywhere on the

    Offers both CDN and self-hosted deployment options for the Live2D widget.

    JavaScriptjavascript-pluginlive2d
    Ver en GitHub↗10,764
  • coaidev/coaiAvatar de coaidev

    coaidev/coai

    9,212Ver en GitHub↗

    CoAI is an enterprise-grade, self-hostable AI gateway platform that unifies access to over 200 AI models from more than 35 providers through a single OpenAI-compatible API endpoint. It functions as a multi-tenant gateway, routing requests across providers with load balancing, automatic failover, and priority-based routing, while exposing standard OpenAI API endpoints for chat, image generation, model listing, and billing to enable seamless integration with existing tools and clients. The platform distinguishes itself through a comprehensive set of operational capabilities built around the gat

    Runs on Docker, Kubernetes, or cloud SaaS platforms with automated scaling and minimal resource overhead.

    TypeScriptai-gatewayapichat
    Ver en GitHub↗9,212
  • traccar/traccarAvatar de traccar

    traccar/traccar

    7,445Ver en GitHub↗

    Traccar is an open-source GPS tracking server that receives location data from over 2000 device models using 200 different communication protocols, functioning as a multi-protocol device gateway for real-time position monitoring and fleet management. It provides a self-hosted fleet management platform deployable on Windows, Linux, or cloud infrastructure, with a geofencing engine that defines virtual boundaries and triggers configurable alerts when devices enter or exit those zones. The server delivers real-time device positions, events, and status updates to connected clients through WebSock

    A deployable server for managing users, devices, permissions, and generating location reports.

    Javagpsgps-trackinghacktoberfest
    Ver en GitHub↗7,445
  • ryo-ma/github-profile-trophyAvatar de ryo-ma

    ryo-ma/github-profile-trophy

    6,577Ver en GitHub↗

    GitHub Profile Trophy is a service that generates SVG images of achievement trophies based on a GitHub user's profile statistics, designed for embedding in README files. It fetches profile data through the GitHub GraphQL API, renders the trophies server-side as SVG markup, and serves them directly to clients, with a Redis-based caching layer to reduce repeated API calls and speed up subsequent requests. The service can be deployed as a self-hosted HTTP server running on the Deno JavaScript runtime, packaged with Docker for consistent local and CI environments. It also offers a GitHub Action w

    Creates SVG images displaying GitHub achievements and statistics as trophy rows for README profiles.

    TypeScript
    Ver en GitHub↗6,577
  • j3ssie/osmedeusAvatar de j3ssie

    j3ssie/Osmedeus

    6,425Ver en GitHub↗

    Osmedeus is a security workflow orchestration engine that coordinates AI agents, shell commands, and scanning tools through declarative YAML pipelines. It functions as a distributed security scanner, a declarative workflow automator, and an AI agent framework for security, enabling automated multi-step security analysis with conditional branching, parallel execution, and distributed workers. The engine distinguishes itself through a hybrid runner model that executes workflow steps on the local host, inside Docker containers, or over SSH to remote machines, selected per step or module. It supp

    Provides a CLI to view and modify cloud provider settings for provisioning scan workers.

    Go
    Ver en GitHub↗6,425
  • pachyderm/pachydermAvatar de pachyderm

    pachyderm/pachyderm

    6,292Ver en GitHub↗

    Pachyderm is a containerized, versioned, and lineage-tracked data pipeline platform that runs natively on Kubernetes. It combines a distributed file system backend with immutable data versioning, so every commit to a data repository creates an auditable snapshot, and every pipeline step executes as an isolated container. The platform is defined by a data-centric pipeline model where pipelines are specified by their input and output data repositories rather than explicit task sequences, and provenance is recorded as a directed acyclic graph of commits linking output data to its input sources an

    Ships a self-hosted data pipeline cluster deployable on local or cloud Kubernetes environments.

    Go
    Ver en GitHub↗6,292
  • paddlepaddle/paddlexAvatar de PaddlePaddle

    PaddlePaddle/PaddleX

    6,163Ver en GitHub↗

    PaddleX is a PaddlePaddle-based framework for building, deploying, and fine-tuning AI model pipelines, with pre-built support for computer vision, OCR, document analysis, and time series tasks. It offers a toolkit of ready-to-use pipelines for image classification, object detection, segmentation, and pose estimation, alongside an end-to-end OCR document analysis pipeline that extracts text, tables, formulas, and layout information. The platform also includes a dedicated time series forecasting pipeline for analyzing historical data to detect anomalies, classify patterns, and predict future val

    Packages pipelines for deployment on Android, Docker, and high-performance servers.

    Pythonai-pipelinesclassificationdeployment
    Ver en GitHub↗6,163
  • fleetdm/fleetAvatar de fleetdm

    fleetdm/fleet

    6,058Ver en GitHub↗

    Fleet is an open-source device management platform that provides centralized control over computing devices running macOS, Linux, Windows, Chromebooks, iOS, and Android. It enables organizations to enroll devices, collect real-time telemetry, enforce security compliance policies, and manage software remotely from a single system. The platform can be deployed as a single binary, run locally for testing, or scaled horizontally across cloud infrastructure on AWS, Kubernetes, GCP, or Render, with support for high availability through database replication and load balancing. The platform distingui

    Provides the same feature set whether hosted by the vendor or deployed on private infrastructure.

    Gobinary-authorizationconfiguration-managementdevice-management
    Ver en GitHub↗6,058
  • greptimeteam/greptimedbAvatar de GreptimeTeam

    GreptimeTeam/greptimedb

    5,968Ver en GitHub↗

    GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without

    Runs as a standalone binary or a cloud-native cluster with modular components for edge-to-cloud deployment.

    Rustanalyticscloud-nativedatabase
    Ver en GitHub↗5,968
  • weblateorg/weblateAvatar de WeblateOrg

    WeblateOrg/weblate

    5,748Ver en GitHub↗

    Weblate is an open-source web-based translation management system that provides a collaborative platform for teams to review, suggest, and approve translations in real time. It functions as a continuous localization platform, automatically synchronizing translations with source code changes in version control repositories, and can be deployed either as a self-hosted server or through a managed cloud hosting service. The system integrates directly with Git hosting platforms like GitHub, GitLab, and Bitbucket, storing all translations in version control with individual translator attribution re

    Offers both a cloud-hosted service and a self-installable libre software option.

    Pythoncontinuous-localizationcrowdsourcingdcode-2025
    Ver en GitHub↗5,748
  • rstudio/shinyAvatar de rstudio

    rstudio/shiny

    5,608Ver en GitHub↗

    Shiny is a framework for building interactive web applications using R code, eliminating the need for HTML, CSS, or JavaScript. At its core, it provides a reactive programming model that automatically tracks data dependencies and re-executes only the parts of an application that depend on changed inputs. The framework handles server-side UI rendering and maintains persistent WebSocket connections between the browser and server for real-time updates without page reloads. The framework distinguishes itself through deep integration with the R ecosystem, including the ability to embed interactive

    Supports deploying Shiny apps on private infrastructure within a VPC or on-premises.

    Rrreactiverstudio
    Ver en GitHub↗5,608
  • maiot-io/zenmlAvatar de maiot-io

    maiot-io/zenml

    5,452Ver en GitHub↗

    ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself

    Supports flexible hosting models including managed cloud services, hybrid setups, and self-hosted environments.

    Python
    Ver en GitHub↗5,452
  • zenml-io/zenmlAvatar de zenml-io

    zenml-io/zenml

    5,451Ver en GitHub↗

    ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented

    Hosts orchestration, metadata, and security components within private hardware or cloud environments.

    Pythonagentopsagentsai
    Ver en GitHub↗5,451
  • ory/ketoAvatar de ory

    ory/keto

    5,270Ver en GitHub↗

    Ory Keto is an open-source authorization server that implements Google Zanzibar’s relationship-based access control model. It stores every access relationship as a tuple in a SQL database and exposes a declarative TypeScript-like namespace language for defining object types, relations, and permissions. The service provides bidirectional permission resolution, configurable consistency levels for checks, and dual gRPC and REST APIs for broad integration. Keto extends the Zanzibar model with edge enforcement of access policies, structured compliance auditing of permission decisions, and infrastr

    Runs as a managed SaaS, on-premises, or in a private cloud with identical code and no vendor lock-in.

    Goabacaccess-controlacl
    Ver en GitHub↗5,270
  • microsoft/botbuilder-samplesAvatar de microsoft

    microsoft/BotBuilder-Samples

    4,511Ver en GitHub↗

    Este proyecto es una biblioteca de muestras y un kit de desarrollo para construir bots conversacionales utilizando el Bot Framework SDK. Proporciona una colección de ejemplos de código enfocados en tareas, plantillas y guías de implementación para ayudar a los desarrolladores a crear interfaces de chat interactivas y flujos de diálogo. El proyecto se centra en patrones de integración para el Bot Framework, ofreciendo ejemplos específicos para implementar middleware personalizado, autenticación de identidad y la conexión de habilidades (skills) de bots externos. Incluye implementaciones de referencia para plantillas de chatbots multicanal que permiten a un solo agente operar a través de múltiples plataformas de mensajería mediante un esquema unificado. La biblioteca cubre una amplia gama de capacidades de IA conversacional, incluyendo la orquestación de agentes de IA, la gestión del estado de la conversación y la persistencia del contexto, y la integración de elementos de interfaz de usuario enriquecidos. También proporciona orientación sobre comprensión del lenguaje natural, el uso de bases de conocimiento y el despliegue de bots en entornos de nube. Se proporcionan recursos y muestras para el desarrollo en C#, JavaScript y Python.

    Supports hosting bots as web services on either public cloud or on-premise infrastructure.

    HTMLbot-frameworkbotsdotnet
    Ver en GitHub↗4,511
  • sooperset/mcp-atlassianAvatar de sooperset

    sooperset/mcp-atlassian

    4,330Ver en GitHub↗

    mcp-atlassian is a tool that connects Atlassian project data to AI assistants using the Model Context Protocol. It provides a standardized tool-calling interface that enables AI assistants to interact directly with project data and documentation. The project supports multi-tenant environments and diverse hosting scenarios, including cloud and on-premise deployments. It implements multiple authentication methods such as OAuth 2.0, API tokens, and personal access tokens, and can route traffic through configurable HTTP, HTTPS, or SOCKS proxies to meet corporate security requirements. Its capabi

    Connects to both Atlassian Cloud and Server/Data Center, handling authentication and API differences automatically.

    Pythonatlassianconfluencejira
    Ver en GitHub↗4,330
  • hieventsdev/hi.eventsAvatar de HiEventsDev

    HiEventsDev/Hi.Events

    3,881Ver en GitHub↗

    Hi.Events is an open-source event management platform designed for organizing events, managing ticket tiers, and processing payments. It functions as a multi-tenant ticketing system, allowing multiple independent organizations to operate on a single instance with strict data isolation and role-based access control. The platform specializes in white-label event ticketing, featuring custom branding for event pages and embeddable checkout widgets for external websites. It includes a real-time sales analytics dashboard to monitor revenue, growth, and attendee check-in performance. The system cov

    Supports installing the platform on self-managed servers or private cloud infrastructure for full data ownership.

    PHPattendize-alternativedoor-managementevent-check-in
    Ver en GitHub↗3,881
  • puckel/docker-airflowAvatar de puckel

    puckel/docker-airflow

    3,807Ver en GitHub↗

    This project provides a containerized environment for deploying Apache Airflow, enabling the orchestration of complex data pipelines and automated task scheduling. By packaging the orchestration platform into portable images, it ensures consistent execution across diverse infrastructure setups and simplifies the management of runtime dependencies. The platform facilitates distributed task execution by decoupling the scheduler from the execution layer, allowing for horizontal scaling of processing power across multiple worker nodes. It supports dynamic configuration through environment variabl

    Scales and distributes task execution across clusters by leveraging container orchestration to manage worker capacity.

    Shellairflowdockerdocker-airflow
    Ver en GitHub↗3,807
Ant.12Siguiente
  1. Home
  2. DevOps & Infrastructure
  3. Feature Flags
  4. Cloud or Self-Hosted Deployments

Explorar subetiquetas

  • Atlassian DeploymentsConnecting to Atlassian Cloud or Server/Data Center with automatic handling of authentication and API differences. **Distinct from Cloud or Self-Hosted Deployments:** Distinct from Cloud or Self-Hosted Deployments: specifically targets Atlassian's cloud and on-premise platforms, not general application hosting.
  • Data Pipeline ClustersDeploys a complete data pipeline platform on local or cloud Kubernetes clusters for development and production use. **Distinct from Cloud or Self-Hosted Deployments:** Distinct from Cloud or Self-Hosted Deployments: focuses on deploying a data pipeline platform specifically, not general software deployment options.
  • Edge-to-Cloud DeploymentsDeploying a database as a standalone binary or a cloud-native cluster with modular components. **Distinct from Cloud or Self-Hosted Deployments:** Distinct from Cloud or Self-Hosted Deployments: covers the spectrum from edge devices to cloud clusters, not just hosting location.
  • Fleet Management PlatformsDeployable servers for managing users, devices, permissions, and generating location reports on self-hosted infrastructure. **Distinct from Cloud or Self-Hosted Deployments:** Distinct from Cloud or Self-Hosted Deployments: focuses on fleet management functionality, not general deployment options.
  • GPS Tracking Server DeploymentsDeploying a GPS tracking server on Windows, Linux, or cloud infrastructure with horizontal scaling and TLS security. **Distinct from Cloud or Self-Hosted Deployments:** Distinct from Cloud or Self-Hosted Deployments: focuses on deploying a GPS tracking server specifically, not general application hosting.
  • Trophy SVG GeneratorsSelf-hosted services that generate SVG trophy images from GitHub profile statistics for README embedding. **Distinct from Cloud or Self-Hosted Deployments:** Distinct from Cloud or Self-Hosted Deployments: focuses specifically on generating trophy SVGs from GitHub data, not general feature flag deployment options.