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8 Repos

Awesome GitHub RepositoriesSchema-Aware Autocompletion

Predicts SQL keywords and identifiers based on the active database schema.

Distinct from SQL Query Interfaces: Specializes SQL query interfaces by adding real-time schema-aware suggestions during input.

Explore 8 awesome GitHub repositories matching data & databases · Schema-Aware Autocompletion. Refine with filters or upvote what's useful.

Awesome Schema-Aware Autocompletion GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • dbcli/pgcliAvatar von dbcli

    dbcli/pgcli

    13,231Auf GitHub ansehen↗

    pgcli is an interactive command-line interface and database management tool for PostgreSQL. It functions as an interactive SQL shell and query editor that allows users to inspect schemas, manage connections, and run queries against PostgreSQL data sources. The tool is distinguished by its real-time, schema-aware autocompletion for keywords, tables, and columns, as well as dynamic SQL syntax highlighting. It provides safety mechanisms through transaction-aware guardrails that warn against or block destructive statements when no active transaction is detected. Broad capabilities include secure

    Predicts tables, columns, and keywords based on the current input and database schema to speed up query writing.

    Pythondatabasepostgrespostgresql
    Auf GitHub ansehen↗13,231
  • josdejong/jsoneditorAvatar von josdejong

    josdejong/jsoneditor

    12,247Auf GitHub ansehen↗

    jsoneditor is a web-based JSON editor component designed for viewing, editing, and formatting structured data. It provides a user interface for managing JSON through multiple rendering modes, including tree, form, and code views. The project is distinguished by its ability to process and visualize exceptionally large datasets, utilizing virtualized memory management to handle JSON files up to 500 MiB without crashing the browser. It also includes a specialized syntax repair tool to convert malformed text into valid JSON and a data transformer for filtering, sorting, and reshaping documents vi

    Suggests keys and values during editing based on a provided JSON schema or custom completion options.

    JavaScript
    Auf GitHub ansehen↗12,247
  • simeji/jidAvatar von simeji

    simeji/jid

    7,132Auf GitHub ansehen↗

    jid is an interactive JSON query tool and data explorer for the terminal. It provides a keyboard-driven interface to navigate, evaluate, and extract information from nested JSON structures using dot-notation paths and real-time autocomplete. The tool integrates JMESPath to support complex data filtering and transformation. It distinguishes itself through a type-aware assistance system that provides context-aware function hints and argument templates based on the data type of the selected JSON node. The capability surface includes a terminal user interface with syntax highlighting, predictive

    Provides real-time suggestions for JSON keys and indices to help users complete queries.

    Gocligogolang
    Auf GitHub ansehen↗7,132
  • altair-graphql/altairAvatar von altair-graphql

    altair-graphql/altair

    5,412Auf GitHub ansehen↗

    Altair ist ein grafischer GraphQL-API-Client, eine integrierte Entwicklungsumgebung (IDE) und ein Schema-Explorer. Es fungiert als Debugging-Tool und Kollaborationsplattform für die Ausführung von Queries, Mutations und Subscriptions gegen GraphQL-Server. Das Projekt zeichnet sich durch cloud-synchronisierte Workspaces aus, um Query-Sammlungen innerhalb von Teams zu organisieren und zu teilen. Es bietet ein flexibles Erweiterungs-Framework, das die Installation und Ausführung von Drittanbieter-Plugins in isolierten Sandboxes ermöglicht. Die Plattform deckt eine Vielzahl von Funktionen ab, darunter KI-gestützte Query-Erstellung, visuelle Schema-Erkundung und Echtzeit-Daten-Subscriptions über mehrere Transportprotokolle. Zudem enthält sie Tools für Request-Automatisierung durch Pre- und Post-Request-Scripting sowie Dienstprogramme zur Verwaltung von Umgebungsvariablen und zur Analyse von Response-Metadaten. Altair ist als Desktop-Anwendung, Browser-Erweiterung und webbasierte Anwendung verfügbar und kann auf privaten Servern gehostet werden.

    Provides real-time field suggestions in the editor based on the downloaded server introspection schema.

    TypeScript
    Auf GitHub ansehen↗5,412
  • supabase-community/postgres-language-serverAvatar von supabase-community

    supabase-community/postgres-language-server

    5,242Auf GitHub ansehen↗

    This project is a Language Server Protocol implementation for PostgreSQL that provides autocompletion, syntax diagnostics, and type checking for SQL and PL/pgSQL. It functions as a database schema validator and a static analysis engine designed to detect security vulnerabilities, performance bottlenecks, and dangerous migration patterns in database scripts. The server differentiates itself by using live database connections to provide schema-aware intelligence, allowing it to verify that tables, columns, and data types actually exist. It performs static analysis on procedural functions to det

    Provides real-time autocompletion for tables, columns, and functions based on the connected PostgreSQL schema.

    Rustlanguage-server-protocolpostgres
    Auf GitHub ansehen↗5,242
  • datlechin/tableproAvatar von datlechin

    datlechin/TablePro

    4,471Auf GitHub ansehen↗

    TablePro is a cross-platform database management client designed for browsing, querying, and administering both SQL and NoSQL databases. It functions as a unified workspace that integrates a code-centric SQL editor with schema visualization tools, allowing developers to manage complex data models and execute queries across diverse database engines. The application distinguishes itself through an agentic AI integration layer that connects language models directly to database tools, enabling automated query generation, optimization, and error fixing with configurable approval gates. It features

    Provides ranked autocompletion for SQL keywords, tables, and columns based on live database schema metadata.

    Swift
    Auf GitHub ansehen↗4,471
  • httpie/desktopAvatar von httpie

    httpie/desktop

    3,851Auf GitHub ansehen↗

    This is a desktop HTTP client application used for constructing, sending, and analyzing HTTP and GraphQL requests. It provides a graphical interface for API development and testing, including a dedicated GraphQL client with schema-driven autocomplete and validation. The project features an integrated AI assistant that generates API requests from natural language prompts. It supports a complex organization system of spaces and collections with hierarchical authentication inheritance and recursive variable resolution for dynamic request values. The tool covers a broad range of capabilities, in

    Fetches introspection schemas from remote servers to provide real-time validation and suggestions during query composition.

    apiapi-clientapi-testing
    Auf GitHub ansehen↗3,851
  • schemastore/schemastoreAvatar von SchemaStore

    SchemaStore/schemastore

    3,649Auf GitHub ansehen↗

    SchemaStore is a centralized JSON schema registry and configuration validation service. It serves as a searchable catalog of standardized JSON definitions used to verify that configuration files adhere to predefined structural rules and data types. The project functions as an autocomplete provider, suggesting available keys and valid values for configuration files during the editing process. It employs a remote directory of schemas indexed by file path and pattern to provide a single source of truth for validation and autocompletion in text editors. The system covers automated configuration

    Provides real-time suggestions for available keys and valid values in JSON configuration files.

    JavaScript
    Auf GitHub ansehen↗3,649
  1. Home
  2. Data & Databases
  3. SQL Query Interfaces
  4. Schema-Aware Autocompletion

Unter-Tags erkunden

  • General Purpose AutocompletionText suggestions for keywords and symbols based on cursor position and input buffer. **Distinct from Schema-Aware Autocompletion:** Distinct from Schema-Aware Autocompletion: provides general language keywords rather than database-specific identifiers.
  • GraphQL Schema AutocompleteReal-time suggestions for GraphQL queries based on remote introspection schemas. **Distinct from Schema-Aware Autocompletion:** Focuses on GraphQL introspection and query composition rather than SQL database schemas.
  • JSON Schema AutocompleteReal-time suggestions for keys and values based on a provided JSON schema during data entry. **Distinct from Schema-Aware Autocompletion:** Applies to general JSON editing, not specifically to SQL query interfaces