6 repository-uri
Architectures that allow a single codebase to be deployed as a desktop app, web service, or container.
Distinguishing note: None of the candidates cover the specific multi-runtime deployment model of one codebase for three environments.
Explore 6 awesome GitHub repositories matching devops & infrastructure · Multi-Runtime Deployment. Refine with filters or upvote what's useful.
Vinext is a build system and edge runtime compiler that enables framework-agnostic serverless deployments. It functions as a Vite plugin and compatibility layer that emulates file-system routing, server components, and server actions, allowing projects to maintain specific framework API surfaces while targeting edge workers and serverless environments. The project provides a specialized bridge for migrating projects to a Vite-based build pipeline while preserving routing and server component patterns. It utilizes a system of module shimming and adapters to produce standalone bundles compatibl
Produces standalone bundles for deployment across various cloud environments and serverless runtimes.
OpenAuth is a standards-based authentication server and identity provider that implements OAuth 2.0 and OpenID Connect protocols. It serves as a centralized system for managing user identities, issuing access tokens, and orchestrating authentication flows across various services. The project functions as a federated identity gateway, aggregating external providers such as Google, GitHub, Microsoft, Apple, and Discord into a unified login flow. It distinguishes itself with a multi-tenant architecture that supports pluggable identity providers and customizable user interface frameworks for bran
Supports deployment as either a standalone service or an embedded module across different cloud runtimes.
DbGate is a universal database management tool and SQL client that provides a unified interface for querying and administering multiple SQL and NoSQL databases. It functions as a multi-database administration GUI and SQL IDE, allowing users to write and execute scripts and manage database schemas. The project distinguishes itself by acting as an API client and explorer for REST, GraphQL, and OData services, enabling users to fetch and export data from these endpoints. It also serves as a data integration tool, facilitating the movement of records between diverse databases and file formats suc
Runs as a native desktop application, a web-based service, or within Docker containers from a shared codebase.
InvenTree is an open-source inventory management platform built on Django, designed for tracking parts, stock levels, and supply chain operations through a web interface and REST API. The system uses barcodes—including QR codes, 1D barcodes, and Data Matrix codes—as primary identifiers for scanning, linking, and triggering inventory actions, and extends core functionality through a Python plugin framework supporting custom actions, UI panels, barcode handlers, and scheduled tasks. The platform distinguishes itself through a comprehensive plugin-based extensibility system that allows custom in
Provides Docker, bare metal, and single-line script installation options for flexible deployment.
Dynamo is a distributed inference orchestration platform designed for large language models. It functions as a system to coordinate prefill and decode phases across GPU nodes, utilizing a multi-backend runtime adapter to connect engines like vLLM and TensorRT-LLM through a unified block-oriented memory interface. An OpenAI-compatible API server provides the frontend for integration with existing tools and clients. The project is distinguished by its disaggregated serving architecture, which separates prompt processing and token generation onto independent GPU pools to optimize throughput and
Provides multiple installation formats including Python wheels, container images, Helm charts, and Rust crates.
mcp-feedback-enhanced is a human-in-the-loop orchestrator and feedback tool for the Model Context Protocol. It provides a graphical interface for reviewing and approving AI-driven operations to prevent automated execution errors, using a socket-based system to synchronize state between backend AI processes and a user-facing interface. The project distinguishes itself by supporting a cross-platform deployment model available via native desktop wrappers and web browsers. It includes environment-aware context detection to identify if the system is running locally, via SSH, or within WSL, allowin
Supports accessing the application through either a native desktop client or a web browser.