Awesome GitHub RepositoriesMapping-to-SQL Converters

Archery is a suite of specialized utilities for database schema migration, SQL audit and review, mapping parsing, and performance analysis. It functions as a centralized platform for reviewing, executing, and auditing SQL queries across multiple database environments through controlled workflows. The platform includes a mapping parser that converts XML files into readable SQL statements to simplify the review of application-generated queries. It also provides tools for parsing slow query logs and analyzing execution patterns to optimize database indexes and speeds. The system covers broad da

Supersonic is an LLM-based data analysis platform and semantic layer engine that translates natural language questions into executable SQL queries. It functions as a business intelligence dashboard and text-to-SQL interface, allowing users to retrieve business metrics and insights through a conversational interface. The system decouples business definitions from physical database schemas by using a governed logical layer to define unified metrics and dimensions. This semantic modeling allows the platform to map human language patterns to curated models and translate abstract semantic statemen

Cerbos is an open-source authorization service that provides a centralized, language-agnostic engine for managing access control. It functions as a policy-as-code platform, allowing teams to define, test, and distribute authorization rules using declarative YAML or JSON configurations. By decoupling access logic from application code, it enables consistent permission enforcement across diverse service stacks. The project distinguishes itself through its ability to translate high-level authorization policies into native database query filters. This capability allows applications to enforce sec

FreeSql هو أداة تعيين كائنات-علاقات (ORM) في .NET وطبقة وصول للبيانات تترجم الكود الموجه للكائنات إلى SQL لمزودي قواعد بيانات علائقية متعددين. يعمل كمنشئ استعلام SQL بأسلوب fluent ومزامن لمخطط قاعدة البيانات، مما يسمح للمطورين بمواءمة هياكل جداول وفهارس قاعدة البيانات مع تعريفات فئات الكيانات. تم تحسين إطار العمل خصيصاً لـ .NET Native AOT لضمان تقليل بصمات الذاكرة وأوقات بدء تشغيل أسرع. يتضمن مديراً لحركة مرور قاعدة البيانات لتوزيع الحمل من خلال تقسيم القراءة والكتابة، وتقسيم الجداول الديناميكي (sharding)، وعزل البيانات القائم على المستأجر. تشمل الإمكانيات الواسعة استيعاب البيانات عالي الأداء باستخدام آليات النسخ المجمع الخاصة بالمزود، والاستعلام المتقدم مع دوال النافذة و CTEs المتكررة، والمراقبة القائمة على AOP لتدقيق تغييرات البيانات. يوفر النظام أيضاً أدوات إدارة المخطط للترحيلات المؤتمتة وأدوات التطوير لتوليد فئات الكيانات من بيانات تعريف قاعدة البيانات.

Mapperly is a C# source generator used for high-performance object-to-object mapping in .NET. It functions as a compile-time mapping library that produces the necessary transformation code during the build process, eliminating the need for runtime reflection when converting between domain models and data transfer objects. The tool distinguishes itself by providing type-safe diagnostic validation and strict mapping enforcement, emitting warnings for unmapped properties at compile time. It includes specialized capabilities for circular reference handling and deep cloning to maintain object iden

Pony is a Python object-relational mapper that maps classes to relational database tables using an object-oriented interface. It serves as a relational database toolkit providing the means to manage database transactions, identity mapping, and the lazy loading of related records. The project is distinguished by a SQL query translator that converts Python generator expressions into optimized SQL queries by analyzing the abstract syntax tree. It also includes a visual database schema designer for creating entity-relationship diagrams to automatically generate and synchronize relational database

Kylin is a distributed OLAP engine designed for executing fast SQL queries on massive datasets. It utilizes multi-dimensional data cubes to pre-calculate data aggregates, enabling sub-second response times for large-scale analytical queries and big data analytics. The system focuses on large-scale data warehousing and multi-dimensional data modeling. It allows for the organization and querying of vast amounts of structured data to support business intelligence and reporting workflows through distributed SQL querying.