14 个仓库
Identifying syntax violations in code and providing precise error locations.
Distinct from SQL Abstract Syntax Tree Parsing: Focuses on validating syntax correctness and reporting errors rather than the act of parsing the tree for analysis.
Explore 14 awesome GitHub repositories matching data & databases · Syntax Validation. Refine with filters or upvote what's useful.
sqlglot is a SQL parser and transpiler that represents queries as abstract syntax trees to enable structural analysis, modification, and semantic transformation. It functions as a dialect translator and query optimizer, converting SQL code between different database engines and simplifying syntax trees through rule-based normalization. The project provides a framework for defining custom SQL dialects by overriding tokenizers, parsers, and generators. It includes a lineage analyzer to track data flow from source tables through complex queries to identify the origin of specific columns. Additi
Parses SQL strings to identify syntax violations and return structured error messages with precise locations.
Yearning is a MySQL SQL audit platform and database change management system. It provides a governance framework for reviewing, approving, and auditing SQL statements executed against MySQL databases. The platform features an AI-powered SQL optimizer that suggests performance improvements and converts natural language requests into executable SQL code. It manages database changes through an approval-based workflow engine that includes automated rollback generation and rule-based syntax validation. The system covers role-based access control, security compliance with multi-factor authenticati
Evaluates submitted SQL against predefined security and performance constraints using automated checkers.
Soar is a suite of specialized tools designed for analyzing MySQL performance, advising on indexing, and optimizing SQL syntax. It functions as a performance analyzer, index advisor, and query optimizer to identify bottlenecks and suggest structural improvements for faster execution. The project distinguishes itself through a system for rewriting SQL statements into optimized equivalent versions using custom heuristic rules and patterns. It also features a dedicated index advisor that evaluates query patterns and database metadata to recommend the creation of new indexes. Its broader capabil
Identifies syntax violations in SQL code and provides precise error locations using sampling statistics.
Standard README 是一个 Markdown 文档标准和规范,旨在组织项目元数据和说明。它作为一个开源治理框架,建立了一套正式的规则和模板,以确保项目信息在不同仓库中保持可预测性和一致性。 该项目提供了一个文档合规性验证器,用于检查 README 是否符合这些预定义的格式标准。它包括用于生成 README 模板以产生基准文档文件的工具,以及通过使用视觉徽章来标记规范合规性的系统。
Verifies that project README files follow a predefined specification to ensure high documentation quality.
JSqlParser 是一个 Java SQL 查询解析库,将原始 SQL 字符串转换为强类型 Java 对象的结构化层级。它通过将数据库查询表示为对象树,提供了程序化分析和操作数据库查询的方法。 该库支持解析现有 SQL 文本以及通过流畅 API 程序化生成新语句。它包括转换查询树并将结构化对象模型序列化回格式化 SQL 文本的机制。 其他功能包括数据库模式分析(例如提取表名以映射数据依赖关系)和 SQL 语法验证。该解析器可配置以处理不同的语法方言,并包括容错恢复功能,以便在遇到无效标记后继续处理脚本。
Provides mechanisms to check database queries for correctness and handle syntax errors during the processing of SQL scripts.
Cortex is an open-source, horizontally scalable metrics platform that ingests, stores, and queries Prometheus-compatible time-series data with multi-tenant isolation. It accepts metrics via Prometheus remote write and OpenTelemetry, executes PromQL queries against both recent and historical data, and provides a Prometheus-compatible alerting and recording rule engine with an integrated Alertmanager. The system is built as a set of independently scalable microservices that use hash-ring-based sharding, gossip-based cluster membership, and tenant-aware object storage to distribute workloads acro
Validates PromQL and Alertmanager configuration syntax before applying changes.
ptpython is an enhanced interactive Python REPL and asynchronous console built on the prompt-toolkit library. It provides a customizable command-line interface for executing Python code with support for multiline editing, autocompletion, and syntax highlighting. The environment supports top-level await statements and asynchronous execution via an integrated event loop. It allows for extensive interface customization, including configurable key bindings for Vi or Emacs navigation and personalized color schemes. The shell includes capabilities for real-time syntax validation and the execution
Implements real-time syntax validation that highlights errors with cursor warnings before code is executed.
Pest 是一个 Rust 解析库和自动解析器生成器,可将形式语法定义转换为功能性解析器。它专注于解析表达式语法(PEG)以识别和结构化复杂的文本模式,提供了一个用于上下文无关语法解析的系统。 该库实现了零拷贝标记化和静态语法编译,以减少运行时开销。它支持 no-std 运行时兼容性,允许解析器在没有标准库的嵌入式或裸机环境中编译。 该项目涵盖了一系列解析功能,包括嵌套标记对的提取和自动语法验证。它用于实现领域特定语言(DSL)、自定义语言解析和数学表达式求值。它还提供自动错误报告以识别意外标记或缺失输入。
Checks input text against a formal grammar to identify syntax violations and report unexpected tokens.
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
Performs type checking through explain-based error insights to lint database schemas and migrations.
Shellharden 是一个 Shell 脚本加固工具和 linter,旨在提高 Bash 脚本的安全性和可靠性。它作为一个自动化工具,重写脚本以遵循行业标准的引用和安全实践。 该项目提供了一个优化器和标准化工具,用更安全的函数等效项替换不安全的模式和别名。它包含一个语法高亮器,使用视觉标记和颜色来指示漏洞以及需要进行引用修正的区域。 该工具涵盖了广泛的功能,包括自动安全修复、漏洞检测和脚本错误检测。这些功能通过自动重写和结构化语法验证确保脚本的一致性。
Identifies and visualizes structural errors and vulnerabilities to ensure scripts run predictably.
该仓库是 .NET 生态系统的技术文档源。它由一系列用 Markdown 编写的概念指南和技术参考组成,作为公共文档门户的静态站点内容源。 该项目利用基于 Git 的内容管理系统,通过 Pull Request 和自动化构建管道来处理技术写作。它通过一种专门的基础设施脱颖而出,该基础设施将来自多个仓库和分支的内容与示例聚合到一个统一的输出中。 该系统涵盖了广泛的文档生命周期能力,包括自动化发布、基于元数据的组织,以及用于移除过时软件内容的版本控制。它集成了用于 Markdown 链接和元数据的验证工具,以及用于基于许可证的依赖扫描和密钥泄露检测的治理工具。 管理自动化通过用于 Issue 标签、Pull Request 协调以及基于路径的 URL 重定向以管理内容迁移的工具进行处理。
Checks for broken links and missing metadata within documentation files to ensure a high-quality user experience.
WPGraphQL is a GraphQL interface for WordPress that transforms a WordPress installation into a headless content source. It functions as a GraphQL schema provider that maps database structures and relational data into a standardized schema, exposing posts, pages, and custom data types through a single flexible endpoint. The project includes an integrated API query builder and schema explorer, allowing for the visual composition of queries and real-time validation of responses. It provides a system for extending the schema with custom fields and relationships to expose specific business data.
Utilizes an integrated IDE to test queries and validate responses in real time.
Lychee is a command line link checker written in Rust that scans websites and local files to identify broken hyperlinks and invalid email addresses. It functions as an asynchronous link validator and static site auditor designed to ensure content accessibility and quality. The tool features disk-based response caching to accelerate subsequent scans and avoid redundant network requests. It supports token-based API authentication for services like GitHub to bypass rate limits when verifying links on remote repositories. The project covers a range of capabilities including multi-format content
Implements a stream-based validator that checks URL integrity across formats using asynchronous requests.
This project is a software engineering playbook providing a collection of standardized guidelines and processes for managing the full software development lifecycle and team operations. It serves as a high-level framework for organizing agile project management, API design, containerized development standards, and markdown documentation workflows. The framework establishes a system for language-agnostic API design to automate client library generation and documentation. It also defines standards for providing uniform contributor environments and toolchains through virtualized containers. The
Integrates linting tools to identify syntax violations in markdown files for consistent documentation formatting.