# 99designs/gqlgen

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10,668 stars · 1,245 forks · Go · mit

## Links

- GitHub: https://github.com/99designs/gqlgen
- Homepage: https://gqlgen.com
- awesome-repositories: https://awesome-repositories.com/repository/99designs-gqlgen.md

## Topics

`codegen` `dataloader` `gogenerate` `golang` `graphql` `schema-first` `subscriptions`

## Description

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 methods. It supports advanced architectural patterns such as distributed federation, custom middleware for cross-cutting concerns, and directive-based metadata injection to influence generated code and runtime behavior.

Beyond core generation, the toolkit provides a comprehensive suite of features for managing complex API lifecycles. This includes performance-oriented capabilities like database request batching, deferred field resolution, and query complexity analysis to protect server resources. It also handles real-time data streaming via subscriptions, multipart file uploads, and robust error propagation, all while maintaining observability through integrated tracing and logging hooks.

The project is distributed as a Go module, with documentation and installation instructions available in the primary repository.

## Tags

### Data & Databases

- [Schema Definition](https://awesome-repositories.com/f/data-databases/data-governance-modeling/data-modeling-schemas/data-schemas/schema-definition.md) — Uses declarative schema definition language as the single source of truth for API structure. ([source](https://gqlgen.com/v0.17.82/))
- [Resolver Implementations](https://awesome-repositories.com/f/data-databases/database-query-execution/resolver-implementations.md) — Provides custom logic for fetching or computing specific fields to optimize performance and data loading. ([source](https://gqlgen.com/getting-started/))
- [Federated Databases](https://awesome-repositories.com/f/data-databases/federated-databases.md) — Integrates distributed graph architectures by composing multiple independent subgraphs into a single unified schema. ([source](https://gqlgen.com/recipes/federation/))
- [Field-to-Model Mappers](https://awesome-repositories.com/f/data-databases/type-mapping-frameworks/field-to-model-mappers.md) — Maps schema fields directly to Go structs and methods to ensure type-safe data resolution. ([source](https://gqlgen.com/reference/resolvers/))
- [Batch Data Fetchers](https://awesome-repositories.com/f/data-databases/single-record-retrievers/batch-data-fetchers.md) — Combines multiple individual data lookups into a single bulk query per request to lower database load. ([source](https://gqlgen.com/reference/dataloaders/))
- [Deferred Resolution](https://awesome-repositories.com/f/data-databases/data-access-querying/database-apis/field-manipulation-apis/deferred-resolution.md) — Optimizes performance by fetching nested or child objects only when explicitly requested by the client. ([source](https://gqlgen.com/))
- [Query Persistence Engines](https://awesome-repositories.com/f/data-databases/query-caching-strategies/query-persistence-engines.md) — Sends short query hashes instead of full query strings to reduce bandwidth usage. ([source](https://gqlgen.com/reference/apq/))
- [Subscription Schema Definitions](https://awesome-repositories.com/f/data-databases/real-time-data-subscriptions/subscription-schema-definitions.md) — Allows declaring real-time event streams directly within the API schema. ([source](https://gqlgen.com/recipes/subscriptions/))
- [Computed Fields](https://awesome-repositories.com/f/data-databases/computed-fields.md) — Allows specifying required data sets that are injected into resolver arguments to enable computed field dependencies. ([source](https://gqlgen.com/recipes/federation/))
- [Custom Scalar Marshaling](https://awesome-repositories.com/f/data-databases/data-type-definitions/scalar-types/custom-scalar-marshaling.md) — Maps schema scalar types to specific language types by implementing marshaling interfaces for custom data serialization. ([source](https://gqlgen.com/reference/scalars/))
- [Relationship Management](https://awesome-repositories.com/f/data-databases/relationship-management.md) — Provides mechanisms for linking data entities and managing complex relationships within GraphQL schemas. ([source](https://gqlgen.com/feature-comparison/))

### Development Tools & Productivity

- [API Development Platforms](https://awesome-repositories.com/f/development-tools-productivity/api-development-tools/api-lifecycle-management/api-development-platforms.md) — Provides a collection of utilities for managing complex data relationships, real-time subscriptions, and request lifecycle hooks.
- [Schema-Driven Code Generators](https://awesome-repositories.com/f/development-tools-productivity/project-scaffolding-config-code-generation/code-generation/schema-driven-code-generators.md) — Transforms declarative API definitions into strongly-typed source code to ensure strict alignment between schema and implementation.
- [Build-Time Code Generation Engines](https://awesome-repositories.com/f/development-tools-productivity/build-time-code-generators/build-time-code-generation-engines.md) — Transforms declarative API contracts into strongly-typed structures and boilerplate-free resolver implementations.
- [Server Boilerplate Generators](https://awesome-repositories.com/f/development-tools-productivity/type-safe-binding-generators/server-boilerplate-generators.md) — Automates the creation of server boilerplate and ensures consistent data structures across the application. ([source](https://gqlgen.com/v0.17.72/))
- [Build Pipeline Plugins](https://awesome-repositories.com/f/development-tools-productivity/build-pipeline-plugins.md) — Allows extending the code generation process by hooking into lifecycle stages to customize output.

### Web Development

- [Server Implementations](https://awesome-repositories.com/f/web-development/graphql-apis/server-implementations.md) — Implements GraphQL server functionality including queries, mutations, and real-time subscriptions. ([source](https://gqlgen.com/feature-comparison/))
- [GraphQL Schema Generation](https://awesome-repositories.com/f/web-development/graphql-schema-generation.md) — Generates type-safe Go code from GraphQL schema definitions to build robust and performant API servers.
- [Schema-First Development Frameworks](https://awesome-repositories.com/f/web-development/graphql-schema-generation/schema-first-development-frameworks.md) — Builds type-safe GraphQL servers by defining API contracts in schema files and generating the corresponding boilerplate code.
- [Type-Safe API Frameworks](https://awesome-repositories.com/f/web-development/type-safe-api-frameworks.md) — Ensures strict consistency between schema definitions and underlying data models through automated code generation.
- [Federation Engines](https://awesome-repositories.com/f/web-development/graphql-apis/federation-engines.md) — Composes multiple independent subgraphs into a single unified API to support modular and scalable microservice architectures.
- [Service Hosting](https://awesome-repositories.com/f/web-development/service-hosting.md) — Starts a local server instance to execute queries and mutations against defined resolvers. ([source](https://gqlgen.com/getting-started/))
- [Real-Time Data Streaming](https://awesome-repositories.com/f/web-development/real-time-data-streaming.md) — Enables persistent connections to push live data updates to clients using WebSockets or Server-Sent Events. ([source](https://gqlgen.com/recipes/subscriptions/))
- [Request Lifecycle Hooks](https://awesome-repositories.com/f/web-development/request-lifecycle-hooks.md) — Hooks into the request lifecycle to perform custom logic like authentication, logging, or performance monitoring. ([source](https://gqlgen.com/reference/middlewares/))
- [Internal Field Injectors](https://awesome-repositories.com/f/web-development/custom-serializer-fields/internal-field-injectors.md) — Adds internal fields to generated data structures to support service logic while keeping them hidden from the public API. ([source](https://gqlgen.com/recipes/extra_fields/))
- [Request Contexts](https://awesome-repositories.com/f/web-development/request-contexts.md) — Injects web framework request data into the execution context for resolver access. ([source](https://gqlgen.com/recipes/gin/))
- [Context Injection Hooks](https://awesome-repositories.com/f/web-development/request-validation-middleware/context-injection-hooks.md) — Extracts user identity from incoming requests and attaches it to the request context for resolver access. ([source](https://gqlgen.com/recipes/authentication/))
- [Web Framework Integrations](https://awesome-repositories.com/f/web-development/web-framework-integrations.md) — Mounts API handlers onto high-performance web routers to serve requests alongside existing application routes. ([source](https://gqlgen.com/recipes/gin/))

### Security & Cryptography

- [Query Depth Restrictions](https://awesome-repositories.com/f/security-cryptography/query-depth-restrictions.md) — Rejects incoming requests that exceed a defined computational cost threshold to prevent resource exhaustion. ([source](https://gqlgen.com/reference/complexity/))
- [WebSocket Security](https://awesome-repositories.com/f/security-cryptography/websocket-security.md) — Validates initial connection payloads during the handshake process to verify user identity for subscriptions. ([source](https://gqlgen.com/recipes/authentication/))

### Networking & Communication

- [Field-Level Middleware](https://awesome-repositories.com/f/networking-communication/communication-protocols-architectures/request-processing-architectures/request-processing/application-middleware/field-level-middleware.md) — Attaches reusable logic to schema fields or arguments to intercept requests and execute cross-cutting concerns. ([source](https://gqlgen.com/reference/directives/))
- [Real-time Data Subscriptions](https://awesome-repositories.com/f/networking-communication/real-time-data-subscriptions.md) — Manages persistent connections and updates state based on incoming events for real-time data streaming.
- [Network Transport Protocols](https://awesome-repositories.com/f/networking-communication/network-transport-protocols.md) — Decodes incoming requests and encodes responses using various formats including JSON, multipart forms, and WebSockets. ([source](https://gqlgen.com/recipes/migration-0.11/))

### Software Engineering & Architecture

- [Directive Metadata Injections](https://awesome-repositories.com/f/software-engineering-architecture/contextual-data-injection/contextual-metadata-injection/server-metadata-injections/directive-metadata-injections.md) — Uses custom schema directives to influence code generation and inject runtime behavior into specific fields.
- [Custom Middleware Implementations](https://awesome-repositories.com/f/software-engineering-architecture/middleware/custom-middleware-implementations.md) — Intercepts request-response cycles to perform custom logic or data modification for cross-cutting concerns.
- [GraphQL Performance Optimizers](https://awesome-repositories.com/f/software-engineering-architecture/performance-reliability/performance-optimization/graphql-performance-optimizers.md) — Implements advanced data fetching strategies like batching and deferred resolution to ensure efficient API execution.
- [Query Complexity Calculators](https://awesome-repositories.com/f/software-engineering-architecture/query-complexity-calculators.md) — Assigns specific weight values to individual fields to accurately reflect the resource consumption of complex data lookups. ([source](https://gqlgen.com/reference/complexity/))
- [Request Middleware](https://awesome-repositories.com/f/software-engineering-architecture/request-middleware.md) — Hooks into the request processing pipeline to apply cross-cutting concerns like authentication and logging globally.
- [Resolver Context Injectors](https://awesome-repositories.com/f/software-engineering-architecture/architectural-design-patterns/state-management/state-logic-and-utilities/context-aware-state-engines/context-aware-policy-engines/resolver-context-injectors.md) — Injects request-scoped data into the execution context to enable dynamic data fetching in resolvers.
- [Model Customization Engines](https://awesome-repositories.com/f/software-engineering-architecture/custom-generator-registries/model-customization-engines.md) — Injects custom struct tags and modifies field definitions to ensure compatibility with external database layers. ([source](https://gqlgen.com/recipes/modelgen-hook/))
- [Lifecycle Plugin Systems](https://awesome-repositories.com/f/software-engineering-architecture/software-architecture/architectural-patterns/plugin-module-systems/extensible-server-architectures/lifecycle-plugin-systems.md) — Supports complex plugin architectures that hook into request lifecycles to modify execution behavior. ([source](https://gqlgen.com/reference/middlewares/))
- [Code Generators](https://awesome-repositories.com/f/software-engineering-architecture/code-generators.md) — Hooks into the build process to modify configuration and inject custom types during code generation. ([source](https://gqlgen.com/reference/plugins/))
- [Introspection Utilities](https://awesome-repositories.com/f/software-engineering-architecture/schema-metadata-utilities/introspection-utilities.md) — Allows clients to discover available API types and fields through schema introspection. ([source](https://gqlgen.com/reference/introspection/))

### System Administration & Monitoring

- [API Performance Monitoring](https://awesome-repositories.com/f/system-administration-monitoring/api-performance-monitoring.md) — Integrates observability tools like distributed tracing and query complexity analysis to maintain system health. ([source](https://gqlgen.com/feature-comparison/))