6 रिपॉजिटरी
Tools for linting and formatting SQL scripts.
Distinct from Code Formatting Tools: Focuses on SQL-specific syntax and style rather than general code formatting.
Explore 6 awesome GitHub repositories matching development tools & productivity · SQL Formatters. Refine with filters or upvote what's useful.
Chat2DB is an AI-powered SQL client and multi-database management GUI. It serves as a centralized graphical interface for administering diverse relational and non-relational database engines, integrating large language models to transform natural language prompts into executable SQL statements and application code. The tool utilizes schema-aware prompt engineering to inject database metadata into AI requests, ensuring generated queries match the actual schema. It also functions as an AI data reporting tool, using artificial intelligence to create dashboards and visual reports directly from da
Provides utilities to standardize the layout and style of SQL scripts for improved readability.
This project is a comprehensive, curated directory of static analysis, linting, and security scanning utilities. It serves as a central resource for developers to discover, compare, and select tools based on specific programming languages, licensing models, and integration requirements. The directory distinguishes itself by providing deep metadata for each listed utility, including community-driven popularity rankings, maintenance status, and deployment methods. By aggregating these tools into a single searchable index, it enables teams to identify solutions for enforcing coding standards, ma
Analyzes SQL scripts for style and syntax errors while automatically applying consistent formatting.
SQLFluff is a multi-dialect SQL linter, formatter, and style guide enforcer. It functions as a parser and analyzer that converts SQL scripts into structured trees to validate syntax, identify logical components, and enforce consistent capitalization, aliasing, and layout conventions across various database dialects. The system is specifically designed to handle templated SQL, providing the ability to analyze, parse, and lint files containing macros or placeholders. It uses dummy-parameter rendering and source mapping to validate the style and correctness of dynamic code before it is rendered
Automatically corrects indentation, capitalization, and whitespace in SQL files for consistent visual style.
Azure Data Studio is a cross-platform SQL database management IDE used for writing queries, managing schemas, and administering relational databases. It functions as a comprehensive environment for relational database management, providing a structured interface for executing SQL queries and browsing database objects. The platform is distinguished by its interactive data notebooks, which combine executable code cells, narrative text, and visualizations for data analysis. It also includes specialized tools for database migration, allowing users to assess and transfer schemas and data from on-p
Standardizes the layout and style of SQL scripts using integrated formatting tools.
Spotless is a multi-language formatting orchestrator and Gradle plugin that automates code styling across various programming languages within a single build pipeline. It functions as a coordinator for multiple third-party formatters, a code style linting tool, and a system for inserting and updating standardized license headers. The project distinguishes itself through git-integrated style enforcement, using pre-push hooks and git references to apply formatting only to modified files or lines. It supports shared build configurations, allowing formatting rules to be distributed and loaded acr
Standardizes the layout of SQL scripts using the DBeaver formatting implementation.
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
Standardizes the layout and style of SQL files to ensure consistent presentation.