Open-source alternatives to Apollo Kotlin

Apollo Client is a frontend GraphQL integration layer and client library used to fetch, manage, and cache data from a GraphQL server in web and mobile applications. It functions as a state management framework that synchronizes remote server data with local application state. The project provides a TypeScript wrapper for executing GraphQL queries and mutations, ensuring type-safe API integration with automatic validation and code completion. The library manages data fetching and synchronization between the backend and the user interface. It includes capabilities for caching GraphQL results l

urql is a GraphQL client and data management tool used to execute GraphQL operations and synchronize data from remote servers within a software application. It functions as a mechanism for fetching, caching, and managing GraphQL data to maintain state across application views. The project features a pluggable middleware architecture and a normalized GraphQL cache. This allows for the insertion of custom logic into the request and response lifecycle to modify client behavior and the organization of responses by unique identifiers to ensure data consistency. The client provides capabilities fo

This project is an interactive learning resource and tutorial for implementing the Apollo GraphQL client. It provides a guided instructional experience to teach frontend data management, specifically focusing on how to connect web applications to GraphQL data sources. The platform uses a sequenced path of hands-on lessons and interactive code walkthroughs. These modules combine instructional text with executable code blocks to demonstrate real-time API behavior and the integration of GraphQL into frontend frameworks. The curriculum covers the use of declarative queries and schema-driven data

GraphQL-Ruby is a Ruby library for building GraphQL APIs with a strongly typed schema and a dedicated query execution engine. It provides a comprehensive framework for mapping application objects to a formal type system, enabling structured data fetching through defined resolvers. The project distinguishes itself with advanced performance and delivery mechanisms, including a data loader for batching and caching to prevent N+1 query patterns. It supports high-performance data delivery through incremental response streaming, deferred query responses, and parallel data fetching using fibers. Add

Relay is a GraphQL client framework and state manager used for building data-driven applications. It functions as a declarative data fetching layer and a GraphQL compiler that transforms declarations into optimized runtime code with automatic type generation. The framework distinguishes itself through a build-time compilation process that generates optimized queries and a data masking system that prevents components from accessing undeclared data. It employs a normalized client-side cache to maintain consistency across entities and an optimistic update mechanism to provide immediate interface

Yoga is a GraphQL server framework and runtime-agnostic HTTP handler used to build and deploy GraphQL APIs. It functions as a toolkit for managing schemas and resolvers, providing a spec-compliant environment for hosting APIs across diverse JavaScript runtimes, including Node.js, Deno, Bun, and serverless cloud environments. The project distinguishes itself through its ability to act as an Apollo Federation gateway, composing multiple subgraphs into a single unified supergraph. It also serves as a dedicated subscription server, delivering real-time data streaming via both WebSockets and Serve

GraphQL.NET is a server-side framework for building and executing GraphQL APIs within C# applications. It provides a comprehensive toolkit for schema building, a federated engine for distributed data graphs, and a subscription handler for managing real-time data streams. The project distinguishes itself with a flexible schema builder that supports both programmatic code-first definitions and declarative schema-first approaches using the standard schema definition language. It includes a dedicated federation engine to split data graphs into subgraphs and compose them into a unified gateway, as

This project is a GraphQL implementation for Go, providing a complete suite for building GraphQL servers. It includes a schema engine for defining types, a query parser to convert strings into abstract syntax trees, and an execution engine that resolves fields against a defined schema to return structured data. The library distinguishes itself through reflection-based type mapping, allowing object definitions and arguments to be derived directly from native Go structs. It also supports the execution of real-time data streaming via GraphQL subscriptions and provides an extensible execution pip

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 project is a type-safe GraphQL client generator and TypeScript schema compiler. It transforms GraphQL schema definitions and operation documents into static TypeScript types to ensure compile-time validation and data consistency between an API and a frontend application. The system functions as a customizable GraphQL plugin framework. It uses a plugin-based architecture and a custom pipeline to generate tailored API clients and request functions, eliminating the need for manual type declarations. The project covers GraphQL client automation, type generation, and workflow optimization. I

graphql-request is a lightweight, type-safe GraphQL client library for JavaScript that runs across browsers, Node.js, and other JavaScript environments. It provides a minimal HTTP client for sending queries and mutations, with a promise-based execution model that uses the native fetch API for cross-runtime compatibility without additional dependencies. The client supports reusable selection set composition at runtime, allowing fragments to be shared across multiple requests to reduce duplication. It includes a plugin-based extension system for adding custom middleware, tracing, or file upload

Vue Apollo is a GraphQL client library for Vue.js that integrates Apollo GraphQL queries and mutations into Vue components with reactive data binding. It provides a reactive data layer that automatically updates Vue component state when GraphQL query results change, and supports server-side rendering by prefetching queries during SSR to deliver fully populated HTML on initial page load. The library allows GraphQL queries and mutations to be declared directly inside Vue component options using the apollo property, keeping data dependencies co-located with the UI. It wraps Apollo Client's nor

Vue Apollo is a GraphQL integration library for Vue applications that connects Vue components to GraphQL APIs using Apollo Client. It provides a reactive data layer for querying, mutating, and subscribing to data from GraphQL endpoints, with automatic cache updates and real-time subscription support. The library offers multiple API surfaces for working with GraphQL data, including slot-based declarative components, composable functions for the Composition API, and Options API integration. It handles the full lifecycle of GraphQL operations, from automatic data fetching with reactive queries t

React Apollo is a React-specific GraphQL data fetching library that binds Apollo Client to components through declarative hooks for queries, mutations, and subscriptions. It provides a declarative approach to GraphQL query execution where components declare their data requirements and automatically receive loading, error, and data states without managing request lifecycle code. The library distinguishes itself through a normalized cache layer that deduplicates entities and serves repeated requests without network calls, combined with incremental result streaming via the @defer directive for

TinaCMS is a headless content management framework that bridges local Git-based file storage with a visual, in-context editing interface. By treating your repository as the single source of truth, it enables developers to manage content as structured data files while providing editors with a browser-based dashboard to modify website content directly within a live preview. The framework distinguishes itself by transforming local files into a unified GraphQL API, which powers both the administrative interface and the application's data retrieval layer. This architecture allows for compile-time

Apollo Server is a spec-compliant JavaScript implementation for building GraphQL APIs that resolve queries and mutations based on a defined schema. It functions as a Node.js framework that integrates GraphQL functionality into various web frameworks and serverless environments through middleware. The project provides a federated GraphQL gateway that aggregates multiple distributed subgraphs into a single unified entry point. It includes a built-in interactive API sandbox for testing operations at the server endpoint and a schema registry client to automate the synchronization of API definitio

gqlgen is a schema-first Go library designed to build type-safe GraphQL servers. It functions as a code generation engine that transforms declarative GraphQL schema definitions into strongly-typed Go source code, ensuring strict alignment between the API contract and the underlying implementation. The framework distinguishes itself through its deep integration with the Go type system and its highly extensible build pipeline. By using schema-first development, it automates the creation of server boilerplate and resolver stubs, allowing developers to map schema fields directly to Go structs and

graphql-go is a server library for implementing GraphQL servers in Go. It provides the core infrastructure for schema parsing, resolver mapping, and query execution. The library includes a subscription engine that enables real-time data streaming to clients using WebSocket transport. It also features an execution tracer for monitoring and profiling query performance through telemetry tools. The system manages resource consumption and stability through a query optimizer that enforces depth restrictions and controls resolver concurrency. It supports data fetching optimization via field-level p

The Swift OpenAPI Generator is a build-time tool that produces type-safe Swift client and server code directly from OpenAPI specification documents. By integrating with build systems through native plugins, it automates the creation of strongly-typed interfaces and protocol stubs that map network operations to native methods, ensuring that application code remains strictly consistent with defined data schemas. The project distinguishes itself through a protocol-oriented architecture that decouples business logic from specific transport implementations. It utilizes a pluggable transport layer

This repository serves as an educational resource and technical guide for developers learning to integrate large language models into software applications. It provides practical lessons and code examples focused on building systems that perform automated text generation, data analysis, and interactive chat tasks. The project functions as a framework for understanding how to connect applications to external artificial intelligence services. It covers the implementation of secure authentication, the orchestration of network requests, and the configuration of model parameters such as temperatur

Poem is a comprehensive toolkit for building type-safe web applications, APIs, and servers using the Rust programming language. It provides a foundation for developing web servers that handle HTTP requests with strong type safety. The framework distinguishes itself by supporting multiple communication protocols through a protocol-agnostic handler mapping. This allows a single internal logic to be exposed across HTTP, gRPC services using protobuf definitions, and the Model Context Protocol for AI model integration. Additionally, it includes built-in tooling for generating OpenAPI v3 specificat

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

This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven

Higress is an AI API gateway and cloud-native traffic manager that functions as a Kubernetes ingress controller. It provides a centralized system for routing, securing, and optimizing traffic directed toward large language models, AI agents, and microservice architectures. The project distinguishes itself through deep AI orchestration, including the ability to host and manage Model Context Protocol servers that transform REST APIs into tools for AI agents. It features specialized AI infrastructure for model request proxying, protocol translation across multiple providers, and semantic-based c

Pangolin is a zero-trust remote access platform designed to provide secure, identity-aware connectivity to private network resources. It functions as a cloud-native network controller that orchestrates encrypted tunnels, traffic routing, and access policies across distributed environments. By leveraging WireGuard for secure data transport, the platform enables authenticated access to internal web applications, terminal sessions, and remote desktops without exposing services to the public internet. The platform distinguishes itself through a declarative infrastructure model that synchronizes n

Claude Code Templates is a comprehensive framework for orchestrating specialized AI agents and automating development workflows within local environments. It provides a structured system for defining, configuring, and deploying AI personas that handle specific technical tasks, ranging from backend architecture and frontend implementation to security auditing and infrastructure management. The project distinguishes itself through a configuration-driven approach that allows teams to standardize development environments and share reusable agent definitions across projects. It includes a robust C

The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It