pyeve/eve

Features

• Database-to-REST Interfaces - Automatically transforms database collections into RESTful API endpoints via declarative configuration.
• Dynamic REST API Generators - Automatically translates database collections into RESTful endpoints using declarative configuration files.
• REST API Frameworks - Provides a framework for building RESTful web services by mapping database collections to endpoints via declarative configuration.
• API Result Filters - Retrieves documents based on query strings using native database operators or conditional expressions.
• Data Persistence Management - Connects API resources to database backends to manage the storage and retrieval of application data.
• MongoDB Connectors - Provides native connectors to MongoDB for automated collection management and data serving.
• Data Schema Definitions - Uses declarative systems to define data structures and validation rules for incoming API resources.
• Data Sources - Links API endpoints to specific database collections and defines default sorting or aggregation pipelines.
• Result Sorting - Orders returned documents by one or more fields via query parameters.
• SQL Database Connectivity - Utilizes a relational database mapper to expose SQL storage as RESTful web resources.
• API Security Management - Manages API access control through JWT authentication, role-based permissions, and request rate limiting.
• Identity-Based Access Restrictions - Restricts request access using credentials and tokens to verify and authorize user identities.
• Role-Based Access Control - Restricts HTTP methods and resource visibility based on assigned user roles and permissions.
• JWT Authentications - Secures endpoints by validating signed JSON Web Tokens issued during authentication.
• Hypermedia Link Generation - Generates hypermedia links and resource schemas within responses to enable dynamic client discovery.
• Data Schema Validation - Enforces data integrity through schema-based validation of types and constraints before database storage.
• Data Validation Schemas - Enforces data integrity by validating incoming request payloads against predefined schemas.
• Database Abstraction Layers - Abstracts storage operations to allow the same API logic to work across document, graph, and relational databases.
• Declarative Resource Mapping - Maps database collections to HTTP endpoints using a declarative configuration file to define API structure.
• HATEOAS Implementations - Includes hypermedia links in responses to help clients discover and navigate the API dynamically.
• API Resource Mapping - Maps database collections to customizable API endpoints, including support for hierarchical sub-resources.
• CRUD Endpoint Exposure - Automatically exposes database collections as RESTful endpoints supporting standard Create, Read, Update, and Delete operations.
• Data Validation - Validates incoming request payloads against predefined schemas to ensure data integrity before persistence.
• HATEOAS Implementations - Implements a HATEOAS API engine that generates hypermedia links for dynamic client discovery.
• RESTful API Development - Provides a framework for building RESTful web services by mapping database collections to resources.
• Schema Validation - Implements a validation layer that ensures incoming request payloads conform to predefined types and constraints before database persistence.
• ETag-Based Concurrency Controls - Prevents obsolete version overwrites using ETag checksums for optimistic concurrency control.
• Operation Constraints - Restricts allowed HTTP methods at the resource and item levels to manage data access.
• Document Versioning - Implements historical change tracking for documents using shadow collections to manage different data versions.
• Elasticsearch Client Integrations - Integrates with Elasticsearch to provide a high-performance search index as a primary data layer.
• Graph Database Integrations - Connects API resources to Neo4j graph databases to power network-based data services.
• Field Projections - Allows clients to request only a subset of document fields in the API response to reduce data volume.
• Bulk Data Ingestion - Supports inserting multiple records in a single request to optimize performance and reduce overhead.
• Automatic Specification Generators - Automatically derives Swagger/OpenAPI specifications from the resource configuration.
• Optimistic Concurrency Control - Prevents data conflicts during updates using concurrency and versioning controls.
• Schemaless Data Support - Allows the storage of fields not defined in the schema while still validating known attributes.
• Aggregation Pipelines - Provides server-side aggregation pipelines for grouping, filtering, and transforming database result sets.
• URI Resource Identifiers - Configures custom fields or unique identifiers to identify records within the API.
• Field Projections - Supports field projections to restrict the subset of document fields returned in API responses.
• JSON-to-Schema Generators - Creates starting data definitions from JSON documents to accelerate the API design process.
• Endpoint Authentication - Applies authentication requirements and security policies globally or to specific API endpoints.
• Request Rate Limiting - Caps the number of requests a user can make within a time window to prevent service abuse.
• User-Based Access Restrictions - Ensures users can only view or modify records they created by validating requests against user identifiers.
• Automated API Documentation - Automatically generates Swagger specifications and interactive interfaces from the resource configuration.
• Custom Validation Extensions - Allows the addition of custom business algorithms to the schema validation system.
• Collection Partitioning - Routes different API endpoints to the same database collection using distinct filters to partition data access.
• Lifecycle Event Hooks - Triggers custom logic at specific stages of the request lifecycle to modify data or perform side effects.
• Middleware Lifecycle Hooks - Provides pluggable middleware hooks to intercept and modify the request lifecycle.
• Data Access Filters - Restricts API endpoints to only expose or update records that match specific query filters.
• Interactive Document Generators - Automatically produces interactive Swagger specifications to enable API discovery and client SDK generation.
• API Schema Exposure - Serves read-only definitions of all public data structures through a dedicated network endpoint.
• Custom API Endpoints - Provides custom routes that allow retrieving resources using specific fields instead of default identifiers.
• Incoming Request Field Filters - Allows querying data using specific fields with server-side validation and whitelisting to prevent unauthorized enumeration.
• Interactive API Documentation UIs - Generates interactive Swagger UI documentation from API specifications for testing and discovery.
• Limit Offset Pagination - Limits the number of items returned in a single request and provides navigation links to subsequent pages.
• Referenced Resource Embedding - Includes full documents from related resources within a response instead of providing only a reference identifier.
• Web Frameworks - REST API framework powered by Flask and MongoDB.

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