Awesome GitHub RepositoriesCloud Function Invocation Tools

The Serverless Framework is a declarative infrastructure-as-code tool designed to automate the deployment, scaling, and lifecycle management of cloud-native applications. It provides a unified command-line interface that translates high-level configuration files into provider-specific resource templates, enabling developers to orchestrate complex architectures, event-driven functions, and cloud resources within a single project structure. What distinguishes this framework is its focus on developer experience and multi-environment parity. It supports local function invocation and event proxyin

Parse Server is a backend-as-a-service solution and Node.js framework that provides a ready-to-use REST and GraphQL API for mobile and web applications. It functions as a core backend infrastructure for managing database schemas, user authentication, and API routing. The system distinguishes itself with a real-time data engine that pushes database updates to clients via WebSockets and a GraphQL server that automatically generates schemas based on application data models. It also features an adapter-based storage layer that abstracts interactions with various cloud and local backends. The pla

iii is a distributed service orchestrator and event-driven workflow engine designed to compose and manage cross-language functions and workers through a central execution engine. It functions as a multi-language service mesh and WebSocket service gateway, providing a persistent communication layer for remote service workers. The platform enables dynamic runtime extensions, allowing new workers and capabilities to be deployed and registered into a live environment without requiring system restarts. It distinguishes itself by offering machine-readable skill exposure and agent capability integra

Quarkus is a Kubernetes-native Java framework designed for building high-performance, memory-efficient applications. It utilizes ahead-of-time native compilation to transform Java code into standalone, optimized binaries that eliminate the need for a virtual machine, enabling rapid startup and reduced memory consumption. By performing code augmentation during the build phase, it shifts heavy processing tasks away from runtime, ensuring that applications are optimized for cloud-native environments. The framework distinguishes itself through a unified approach to reactive and imperative program

This is an infrastructure as code tool and serverless deployment orchestrator that provides a shorthand syntax for defining serverless infrastructure. It functions as a framework for transforming concise resource declarations into full AWS CloudFormation templates to automate the provisioning of cloud functions, APIs, and databases. The project distinguishes itself by using a macro-based transformation system to expand simplified resource types into detailed infrastructure components. It includes an automated permission mapping system that translates high-level resource interaction intents in

The AWS SAM Command Line Interface is a development toolkit used to define, emulate, and manage the lifecycle of serverless infrastructure. It serves as an infrastructure as code tool and a wrapper for AWS CloudFormation, allowing users to describe cloud resources through declarative templates. The project differentiates itself by providing a local serverless emulator that uses containers to execute and debug functions before they are deployed. It also enables rapid cloud iteration through real-time synchronization, which monitors local source code for changes and automatically pushes updates

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

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

该项目是一系列参考实现、示例代码和入门套件，用于使用 JavaScript SDK 将 Firebase 后端服务集成到 Web 应用中。它作为一个实用指南，用于引导具有云托管认证、数据库和无服务器逻辑的项目。 该仓库提供了实现实时数据同步、用户身份管理和事件驱动云函数的具体示例。它还包括使用本地服务模拟器在生产部署前在本地机器上测试云功能的参考代码。 该代码库涵盖了广泛的功能，包括 NoSQL 和关系型数据存储、全球 CDN 上的静态资产托管，以及声明式安全规则的强制执行。它还演示了身份验证的集成以及在托管环境中执行服务器端逻辑的方法。

serverless-offline 是一个 Serverless Framework 插件，提供本地云基础设施模拟器。它充当 AWS Lambda 本地模拟器和 AWS API Gateway 模拟工具，允许在本地机器上开发和测试无服务器函数，而无需部署到远程提供商。 该项目的独特之处在于模拟双向 WebSocket 连接和消息路由，以及模仿 HTTP 网关的请求生命周期。它包含一个模拟身份验证器流水线，用于在本地验证令牌和 JWT，并支持将虚拟依赖层挂载到执行环境中。 该工具广泛涵盖了跨多种运行时的函数执行（具备隔离执行模式）、用于请求路由的云网关模拟，以及用于基于时间逻辑的定时事件触发模拟。它还提供了 SDK 调用模拟和请求上下文模拟功能，以促进本地集成测试。

这是一个后端即服务（BaaS）SDK，将 Web 和移动应用连接到一套云服务。它提供了一个统一的接口，用于管理用户身份、执行无服务器逻辑以及处理云对象存储。 该工具包的特点是其实时数据同步功能，允许 NoSQL 文档数据在多个客户端之间保持一致，并内置离线持久化。它通过多种身份提供商促进安全的用户访问，并管理无服务器函数调用，以响应 HTTPS 请求或数据库事件来执行后端逻辑。 该 SDK 涵盖了广泛的运营能力，包括 NoSQL 和关系数据库管理、崩溃监控以及用户行为分析。它还提供了用于远程应用配置、定向推送通知以及集成大语言模型以实现 AI 驱动功能的工具。 该项目使用 TypeScript 实现，并提供将 REST 和 WebSocket API 抽象为高级方法的特定语言库。