12 repository-uri
Application of consistent data structures to all API success and error states.
Distinct from API Response Validation: Distinct from Response Validation by focusing on the consistency of the structure itself rather than validating it against a schema.
Explore 12 awesome GitHub repositories matching web development · Response Structure Standardization. Refine with filters or upvote what's useful.
This project provides a comprehensive framework of standards and conventions for designing consistent, predictable, and maintainable web services. It establishes a resource-oriented architecture that utilizes uniform HTTP methods and status codes to structure communication across distributed software systems. The guide emphasizes a standardized approach to API evolution and data management, focusing on techniques such as header-based versioning to maintain backward compatibility and range-header pagination to handle large datasets. It also defines patterns for structured error representation
Formats incoming requests and outgoing responses using consistent data structures and status codes.
This project is a Spring Boot API starter kit and RESTful project skeleton designed for building backend services. It provides a foundational codebase that implements a layered service architecture and standardized directory structures to organize controllers, services, and data mappers. The project features a MyBatis CRUD boilerplate generator that automates the creation of models and controllers from database tables using customizable templates. It includes a security framework for protecting endpoints via interface signature authentication to verify user identity and request authorization.
Implements consistent data structures for all API success and error responses.
Jeesite is a full-stack low-code development framework designed for building enterprise administrative portals using Spring Boot, MyBatis, and Vue. It functions as a comprehensive platform for creating administrative dashboards with integrated role-based access control and organizational data permission systems. The framework distinguishes itself through a combination of automated CRUD code generation and an integrated RAG platform that connects large language models to enterprise data via vector stores. It further incorporates a BPMN-based workflow engine to automate complex business process
Implements a consistent JSON structure for all API success and error states to ensure third-party compatibility.
JSON API is a set of industry standards for RESTful APIs that defines uniform protocols for resource serialization, error responses, and query parameters. It provides a specification for request and response payloads in JSON-based APIs to ensure consistency across endpoints. The specification focuses on reducing network requests through a structured resource serialization format and a standardized mechanism for embedding related resources into a single response. It utilizes a custom JSON media type for content negotiation and supports the definition of custom profiles to provide specialized i
Provides a standardized structure for API error objects, ensuring consistent failure responses across all endpoints.
This project is a web framework performance benchmark suite and automated benchmarking orchestrator. It serves as a multi-language performance analysis tool designed to measure execution speed, throughput, and latency across various HTTP libraries and programming ecosystems. The system functions as an HTTP framework comparison tool that evaluates relative efficiency using consistent hardware and request patterns. It automates the build, deployment, and execution cycles necessary to collect stable performance data and compute metrics such as error rates and latency percentiles. The suite eval
Writes structured response bodies using optimized header maps to maximize performance.
Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
Returns query results in a consistent format including execution statistics and structured tables.
TypeSpec is a language for defining cloud API shapes and generating OpenAPI, JSON Schema, and client/server code from a single source of truth. It functions as a protocol-agnostic API designer that models REST, gRPC, and other API protocols using a unified, extensible syntax, with a decorator-based metadata system for attaching metadata, validation rules, and lifecycle visibility to API models and operations. The compiler produces OpenAPI 3.0 specifications and other artifacts, and the tool supports declaring API versions and tracking changes to models, properties, and operations across releas
Defines structured response shapes that incorporate standard HTTP status codes and headers for consistent API outputs.
Acest proiect este o implementare server-side pentru randarea tabelelor de date interactive folosind framework-ul Laravel. Acționează ca un bridge și un wrapper API care mapează interogările bazei de date la formatul JSON specific cerut de plugin-ul jQuery DataTables. Instrumentul se concentrează pe gestionarea seturilor mari de date prin procesarea paginării, filtrării și căutării pe server, în loc să încarce toate înregistrările în browser. Acesta traduce parametrii cererii HTTP primite în interogări de bază de date pentru a se asigura că sunt preluate și serializate doar rândurile necesare. Suprafața de capabilități include maparea datelor bazată pe Eloquent, injectarea automată a căutării cu wildcard și serializarea obiectelor de răspuns. De asemenea, oferă utilitare de diagnosticare pentru depanarea interogărilor bazei de date prin adăugarea instrucțiunilor SQL executate la răspunsurile API. Pachetul oferă utilitare integrate pentru exportul datelor și editarea interactivă a tabelelor.
Standardizes the JSON response structure to include query results, total records, and filtered counts.
Spec este un set cuprinzător de specificații pentru standardele de codare frontend și ghiduri de arhitectură a proiectelor. Oferă un framework pentru organizarea structurilor de directoare, a dependențelor modulelor și a layout-urilor pachetelor pentru a crea baze de cod scalabile și previzibile. Proiectul definește standarde riguroase de guvernanță pentru componentele React, inclusiv convenții specifice de denumire și modele structurale pentru props. De asemenea, stabilește o specificație de date JSON API pentru a asigura o comunicare previzibilă între componentele sistemului prin formate de schimb standardizate și structuri de răspuns HTTP. Specificația acoperă o gamă largă de capabilități, inclusiv conformitatea cu accesibilitatea web prin HTML semantic și controale de formular accesibile, precum și strategii de optimizare a performanței web pentru manipularea DOM-ului și încărcarea resurselor. Detaliază, de asemenea, standardele pentru stilurile de codare JavaScript, HTML și CSS pentru a menține consistența în echipele de dezvoltare.
Structures HTTP responses with mandatory status and data fields for predictable client-side processing.
Acest proiect este o propunere formală RFC și o specificație tehnică pentru o nouă gamă de coduri de stare HTTP. Definește un standard de eroare pentru dezvoltatori conceput pentru a distinge eșecurile de implementare de erorile standard de client sau server în cadrul răspunsurilor API REST. Specificația propune o extensie la protocolul HTTP care introduce intervale numerice rezervate pentru codurile de stare. Acest sistem mapează identificatori întregi unici către greșeli de implementare specifice, oferind un sens diagnostic precis și izolând erorile dezvoltatorului de răspunsurile standard ale protocolului, menținând în același timp compatibilitatea cu versiunile anterioare. Standardul acoperă gestionarea erorilor API și fluxul de lucru de depanare al dezvoltatorului prin stabilirea unei scheme de răspuns consistente pentru payload-urile de eroare. Acest lucru asigură interoperabilitatea între diferiți clienți și servere API atunci când raportează eșecuri de implementare.
Applies consistent data structures to error payloads to ensure interoperability between clients and servers.
vibe-vibe is an LLM agent engineering framework and toolchain optimizer designed for orchestrating multi-agent systems. It serves as a comprehensive guide and methodology for transforming conceptual ideas into deployed applications through agentic software engineering. The project focuses on the orchestration of specialized AI agent roles with defined collaboration boundaries and iterative feedback loops. It provides frameworks for toolchain optimization, including the selection and evaluation of protocols that extend model capabilities and the design of standardized tool interfaces. The sys
Applies a consistent data structure to success and error states for predictable client parsing.
This is an asynchronous Swift client library for calling OpenAI’s API across Apple platforms. It provides native access to chat completions, image generation and editing, speech synthesis and transcription, text embeddings, and content moderation through a single interface built on Swift’s async-await concurrency model. The client supports structured output generation by constraining model responses to a provided JSON schema, and enables real-time consumption of generated text through streaming responses delivered as an AsyncSequence. It includes a thread-based conversation model for managing
Creates AI-powered responses with configurable input and output schemas for programmatic use.