Pokeapi

PokeAPI es una interfaz web RESTful de solo lectura y base de conocimientos integral que proporciona datos estructurados sobre especies de Pokémon, movimientos y entidades de series de juegos. Funciona como un servicio de datos contenedorizado diseñado para entregar estadísticas de juegos y detalles de entidades para uso programático en aplicaciones.

El servicio permite la recuperación de datos completos de juegos Pokémon y la referencia de metadatos de entidades de juego. Los usuarios pueden acceder a esta información a través de interfaces REST y GraphQL para obtener puntos de datos específicos y poblar interfaces de aplicaciones externas.

Features

RESTful API Designs - Exposes structured Pokémon game data through standardized RESTful HTTP endpoints.
Pokémon Data Libraries - Provides structured Pokémon statistics and details for use in external applications.
Domain Knowledge Bases - Provides a comprehensive digital encyclopedia of Pokémon game data and entity details.
Relational Database Backends - Uses a relational database as the primary application state storage for game entity relationships.
Entity-to-API - Maps domain entities directly to REST API endpoints for programmatic retrieval of detailed information.
Game Data Repositories - Provides a comprehensive standardized interface to fetch detailed Pokémon game series data.
Entity Metadata Repositories - Serves as a comprehensive database of game series elements and metadata for external projects.
API Data Consumption - Enables the retrieval and parsing of structured game data from a remote web service.
Resource-Based Routing - Implements a routing system where URLs are mapped to specific Pokémon data entities.
RESTful Data APIs - Provides a programmatic RESTful data API for retrieving structured Pokémon species and game information.
Container Deployment - Utilizes container-based deployment workflows to orchestrate the application and its dependencies.
Containerized Data Services - Functions as a data-intensive service running within an isolated container environment.
Containerized Deployment Orchestration - Employs containerized deployment orchestration to ensure consistent environments for the data service.
Containerized Deployments - Provides standardized packaging for consistent application execution across diverse hosting environments.
GraphQL Data Fetching - Supports GraphQL data fetching to retrieve multiple data points in a single network request.

Historial de estrellas

PokeAPIpokeapi

Name: pokeapi/pokeapi
Author: PokeAPI

View on GitHub

5,250 estrellas1,136 forksPythonBSD-3-Clause4 vistaspokeapi.co

Pokeapi

Features

RESTful API Designs - Exposes structured Pokémon game data through standardized RESTful HTTP endpoints.
Pokémon Data Libraries - Provides structured Pokémon statistics and details for use in external applications.
Domain Knowledge Bases - Provides a comprehensive digital encyclopedia of Pokémon game data and entity details.
Relational Database Backends - Uses a relational database as the primary application state storage for game entity relationships.
Entity-to-API - Maps domain entities directly to REST API endpoints for programmatic retrieval of detailed information.
Game Data Repositories - Provides a comprehensive standardized interface to fetch detailed Pokémon game series data.
Entity Metadata Repositories - Serves as a comprehensive database of game series elements and metadata for external projects.
API Data Consumption - Enables the retrieval and parsing of structured game data from a remote web service.
Resource-Based Routing - Implements a routing system where URLs are mapped to specific Pokémon data entities.
RESTful Data APIs - Provides a programmatic RESTful data API for retrieving structured Pokémon species and game information.
Container Deployment - Utilizes container-based deployment workflows to orchestrate the application and its dependencies.
Containerized Data Services - Functions as a data-intensive service running within an isolated container environment.
Containerized Deployment Orchestration - Employs containerized deployment orchestration to ensure consistent environments for the data service.
Containerized Deployments - Provides standardized packaging for consistent application execution across diverse hosting environments.
GraphQL Data Fetching - Supports GraphQL data fetching to retrieve multiple data points in a single network request.

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Preguntas frecuentes

¿Qué hace pokeapi/pokeapi?

¿Cuáles son las características principales de pokeapi/pokeapi?

Las características principales de pokeapi/pokeapi son: RESTful API Designs, Pokémon Data Libraries, Domain Knowledge Bases, Relational Database Backends, Entity-to-API, Game Data Repositories, Entity Metadata Repositories, API Data Consumption.

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