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10 مستودعات

Awesome GitHub RepositoriesSchema Modifiers

Updates metadata or names of existing schemas within data sources.

Distinct from Schema Definitions: Distinct from schema definitions: focuses on modification of existing schemas rather than initial definition.

Explore 10 awesome GitHub repositories matching data & databases · Schema Modifiers. Refine with filters or upvote what's useful.

Awesome Schema Modifiers GitHub Repositories

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  • jquense/yupالصورة الرمزية لـ jquense

    jquense/yup

    23,673عرض على GitHub↗

    Yup is a JavaScript schema validation library used to define data shapes and validate runtime values. It functions as an object schema validator and a data coercion engine, allowing developers to transform raw input values into desired types before performing validation checks. The library is distinguished by its support for dynamic schema validation, where rules can be adjusted at runtime based on sibling field values or external context. It also enables recursive data structuring for polymorphic fields and provides a system for extracting static TypeScript interfaces from runtime schema def

    Combines multiple schemas into a new instance by concatenating settings or merging object shapes.

    TypeScript
    عرض على GitHub↗23,673
  • prestodb/prestoالصورة الرمزية لـ prestodb

    prestodb/presto

    16,711عرض على GitHub↗

    Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing

    Modifies existing schema metadata and names.

    Javabig-datadatahadoop
    عرض على GitHub↗16,711
  • ajv-validator/ajvالصورة الرمزية لـ ajv-validator

    ajv-validator/ajv

    14,733عرض على GitHub↗

    Ajv is a high-performance data validation framework that compiles JSON schemas into optimized, standalone JavaScript functions. By transforming declarative schema definitions into executable code, it eliminates runtime interpretation overhead and provides a secure, efficient way to enforce data integrity across both browser and server environments. The library distinguishes itself through its focus on performance and type safety. It employs advanced compilation techniques, including abstract syntax tree optimization and function caching, to ensure rapid validation. Beyond standard checks, it

    Supports extending or modifying existing schema definitions by applying standard merge or patch operations to base schemas.

    TypeScriptajvjson-schemavalidator
    عرض على GitHub↗14,733
  • geldata/gelالصورة الرمزية لـ geldata

    geldata/gel

    14,065عرض على GitHub↗

    Gel is an object-relational database system that models data as a graph of interconnected objects. By utilizing a strongly typed schema, it enables complex relational queries and polymorphic data structures without the need for traditional join tables. The system integrates native vector storage and similarity search operators, allowing it to function as both a relational and a vector database for semantic data retrieval. The platform distinguishes itself through a comprehensive suite of developer-centric automation tools. It features a declarative migration system that tracks and versions sc

    Integrates schema modifications from development branches into the primary database branch.

    Pythondatabaseedgedbedgeql
    عرض على GitHub↗14,065
  • dbt-labs/dbt-coreالصورة الرمزية لـ dbt-labs

    dbt-labs/dbt-core

    13,051عرض على GitHub↗

    dbt-core is a command-line framework for transforming data within a warehouse using modular SQL and version control. It functions as a data transformation engine that enables users to define data structures and business logic through declarative configuration files, which the system then compiles into executable code. By managing complex data dependencies through a directed acyclic graph, it ensures that transformation tasks execute in the correct order while maintaining a manifest-driven state to track lineage and execution history. The project distinguishes itself through an adapter-based d

    Automatically updates snapshot tables to ensure historical data remains consistent with current source structures.

    Rustanalyticsbusiness-intelligencedata-modeling
    عرض على GitHub↗13,051
  • thinkgem/jeesiteالصورة الرمزية لـ thinkgem

    thinkgem/jeesite

    8,044عرض على GitHub↗

    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

    Automatically transitions database schemas to new versions using modular update scripts.

    Vue
    عرض على GitHub↗8,044
  • domaindrivendev/swashbuckle.aspnetcoreالصورة الرمزية لـ domaindrivendev

    domaindrivendev/Swashbuckle.AspNetCore

    5,492عرض على GitHub↗

    Swashbuckle.AspNetCore is an API specification tool and documentation generator for ASP.NET Core. It extracts metadata from source code and models to produce standardized OpenAPI specifications and interactive browser interfaces for exploring and testing web APIs. The project integrates a middleware component to serve these specifications and a Swagger UI for interactive API testing directly from a running application. It also provides a command-line exporter to extract specification files from application assemblies for use in CI/CD pipelines. The tool covers a wide range of capabilities in

    Executes custom logic to modify the schema of specific types instead of applying changes to all schemas.

    C#
    عرض على GitHub↗5,492
  • wemobiledev/articleالصورة الرمزية لـ WeMobileDev

    WeMobileDev/article

    4,395عرض على GitHub↗

    This repository is a collection of technical knowledge and solutions focused on mobile application development, particularly for Android and iOS platforms. It covers a wide range of practical engineering challenges, including hotfix and patching techniques, database management and repair, network communication, logging, and video processing. The content is presented as shared knowledge, documenting real-world problems and their implementations. The project provides detailed guidance on applying hotfixes to running Android applications through multiple methods, such as class replacement, full

    Automatically upgrades database schemas by updating ORM definitions and calling create table methods to add or modify columns.

    عرض على GitHub↗4,395
  • apollographql/apollo-iosالصورة الرمزية لـ apollographql

    apollographql/apollo-ios

    4,030عرض على GitHub↗

    apollo-ios is a GraphQL client library for iOS and Apple platforms that enables type-safe network communication. It transforms GraphQL operations into generated Swift models, ensuring that network responses are validated at compile time to eliminate manual mapping. The library features a normalized cache manager that stores entities in a flat structure to maintain data consistency across different application views. It also optimizes network performance using hash-based persisted queries to reduce payload sizes and supports real-time data streaming via WebSockets or HTTP subscriptions. The p

    Implements a reconciliation process to merge changes from a source schema variant into a proposal.

    Swiftapollo-iosapollographqlgraphql
    عرض على GitHub↗4,030
  • koxudaxi/datamodel-code-generatorالصورة الرمزية لـ koxudaxi

    koxudaxi/datamodel-code-generator

    3,943عرض على GitHub↗

    This project is a command-line schema-to-code converter designed to transform diverse data specifications into type-safe Python data structures. It functions as a generator for Pydantic models, dataclasses, and typed dictionaries, enabling developers to maintain synchronization between evolving data contracts and application code. By parsing formats such as JSON Schema, OpenAPI, AsyncAPI, Protobuf, and Avro, the tool automates the creation of native classes that reflect the constraints and metadata defined in the source specifications. The generator distinguishes itself through a highly confi

    Identifies and merges identical model or enum definitions across a schema to reduce redundancy and simplify the generated codebase.

    Pythoncode-generatorcsvdataclass
    عرض على GitHub↗3,943
  1. Home
  2. Data & Databases
  3. Schema Definitions
  4. Schema Modifiers

استكشف الوسوم الفرعية

  • Automated UpgradesSystems that automatically transition database schemas to new versions by modifying definitions and reapplying interfaces. **Distinct from Schema Modifiers:** Distinct from Schema Modifiers: focuses on the automated lifecycle and transition process rather than the act of modification.
  • Schema Patching and MergingExtends or modifies existing schema definitions by applying standard merge or patch operations. **Distinct from Schema Modifiers:** Focuses on schema manipulation via patching, distinct from general modification.
  • Schema Reconciliation1 وسم فرعيAutomatically updates snapshot tables to reflect changes in source column structures. **Distinct from Schema Modifiers:** Distinct from Schema Modifiers: focuses on the automated reconciliation of historical snapshots with source changes rather than manual schema modification.
  • Targeted Schema FilteringApplying custom logic to modify or exclude specific types from the generated API schema. **Distinct from Schema Modifiers:** Focuses on the selective modification of types during schema generation.