What does graphql-python/graphene do?

Graphene is a library and framework for building type-safe GraphQL APIs and schemas using Python objects and resolvers. It provides a system for mapping internal data models to typed GraphQL schemas, enabling the creation of servers that process queries and execute resolvers to return structured data.

What are the main features of graphql-python/graphene?

The main features of graphql-python/graphene are: GraphQL APIs, GraphQL Frameworks, Server Libraries, Backend Data Access Layers, GraphQL Mutation Implementations, GraphQL Mutation Management, Class-Based Schema Mapping, Resolver-Based Fetching.

What are some open-source alternatives to graphql-python/graphene?

Open-source alternatives to graphql-python/graphene include: strawberry-graphql/strawberry — Strawberry is a type-safe GraphQL library for Python that enables the design of schemas using Python type annotations… rmosolgo/graphql-ruby — GraphQL-Ruby is a Ruby library for building GraphQL APIs with a strongly typed schema and a dedicated query execution… graphql-python/graphene-django — Graphene-Django is a GraphQL integration framework and schema mapper used to build typed APIs for Django applications.… graphql-go/graphql — This project is a GraphQL implementation for Go, providing a complete suite for building GraphQL servers. It includes… michallytek/type-graphql — Type-graphql is a toolkit and framework for creating type-safe GraphQL APIs. It functions as a schema generator and… 19majkel94/type-graphql — Type-graphql is a framework for building GraphQL servers that uses TypeScript classes as the single source of truth…

Graphene | Awesome Repos

Features

GraphQL APIs - Provides a full framework for building type-safe GraphQL APIs and schemas using Python.
GraphQL Frameworks - Acts as a primary framework for building type-safe GraphQL APIs and schemas using Python.
Server Libraries - Provides the backend infrastructure to process GraphQL queries and execute Python resolvers.
Backend Data Access Layers - Connects Python-based data models and backend databases to a GraphQL API layer.
GraphQL Mutation Implementations - Provides a mechanism to define and execute mutations that modify server-side data.
GraphQL Mutation Management - Provides a standardized interface for implementing server-side data mutations and returning updated results.
Class-Based Schema Mapping - Uses Python classes to define the structure of GraphQL object types and fields.
Resolver-Based Fetching - Uses resolver functions to map schema fields to data retrieval logic from various sources.
Field Resolvers - Implements a resolver-based system to fetch specific values for API fields from root objects.
Query Execution Engines - Processes GraphQL queries by validating them against the schema before execution.
GraphQL Execution Engines - Includes an execution engine that resolves GraphQL query strings against a typed schema.
GraphQL Schema Construction - Offers a programmatic way to define the types, queries, and mutations that constitute a GraphQL schema.
GraphQL Schema Definitions - Provides a class-based system for mapping internal Python data models to typed GraphQL schemas.
GraphQL Schema Generation - Implements a system for defining structured GraphQL schemas and reusable types using Python objects.
Custom Scalar Marshaling - Maps internal Python types to standardized GraphQL scalars using conversion functions.
Custom Scalars - Supports the definition of custom scalar types to enforce specific data formats like UUIDs.
Interface-Based Type Inheritance - Supports interface-based inheritance to maintain consistent field sets across different object types.
Cursor Pagination - Implements the Relay specification for cursor-based pagination to handle large datasets.
Global Object Identifiers - Implements the Relay global node fetching pattern using unique identifiers for individual objects.
GraphQL Input Type Definitions - Provides a system for defining complex input objects used as arguments for queries and mutations.
GraphQL Interface Type Definitions - Implements GraphQL interfaces that mandate specific fields across multiple object types.
Relay Specification Implementations - Provides a full implementation of the Relay specification for standardized pagination and identification.
Relay Specifications - Implements the full Relay specification for global object identification and cursor-based pagination.
GraphQL - GraphQL 框架。
Python GraphQL Tools - Pythonic library for building GraphQL schemas and types.
Web Frameworks - GraphQL framework for Python.

Open-Source-Alternativen zu Graphene

Ähnliche Open-Source-Projekte, sortiert nach der Anzahl der gemeinsamen Funktionen mit Graphene.

strawberry-graphql/strawberry
strawberry-graphql/strawberry
4,674Auf GitHub ansehen
Strawberry is a type-safe GraphQL library for Python that enables the design of schemas using Python type annotations and dataclasses. It functions as an asynchronous GraphQL server and execution engine, providing a bridge to expose schemas across ASGI-compliant web frameworks such as FastAPI, Django, Flask, and Litestar. The project implements GraphQL Federation, allowing for the creation of distributed schemas and entities that merge into a unified supergraph across multiple services. It also includes a dedicated toolkit for the Relay specification, supporting global object identification a
Pythonasgiasynciodjango
Auf GitHub ansehen4,674
rmosolgo/graphql-ruby
rmosolgo/graphql-ruby
5,448Auf GitHub ansehen
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
Ruby
Auf GitHub ansehen5,448
graphql-python/graphene-django
graphql-python/graphene-django
4,390Auf GitHub ansehen
Graphene-Django is a GraphQL integration framework and schema mapper used to build typed APIs for Django applications. It functions as a database API layer that transforms Django model fields and relationships into a graph schema, allowing clients to request specific data in a single call. The project implements the Relay specification, providing tools for global object identification and standardized connection-based pagination to manage large datasets. It distinguishes itself by mapping database models, forms, and serializers directly into GraphQL object types and mutations. The framework
Python
Auf GitHub ansehen4,390
graphql-go/graphql
graphql-go/graphql
10,155Auf GitHub ansehen
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
Gographqlgraphql-gosubscriptions
Auf GitHub ansehen10,155

Alle 30 Alternativen zu Graphene anzeigen

graphql-pythongraphene

Graphene

Features

Open-Source-Alternativen zu Graphene

strawberry-graphql/strawberry

rmosolgo/graphql-ruby

graphql-python/graphene-django

graphql-go/graphql

Frequently asked questions

Star-Verlauf

Open-Source-Alternativen zu Graphene

strawberry-graphql/strawberry

rmosolgo/graphql-ruby

graphql-python/graphene-django

graphql-go/graphql

Frequently asked questions