9 مستودعات
Mechanisms for embedding and executing custom code during data transformation or template rendering.
Distinct from Custom Python Integration: Distinct from Custom Python Integration: focuses on the execution of inline logic rather than general integration.
Explore 9 awesome GitHub repositories matching data & databases · Inline Logic Execution. Refine with filters or upvote what's useful.
graphql-engine is an automated GraphQL API engine that transforms database tables and relationships into a queryable GraphQL schema. It functions as a federation gateway and mapper, instantly generating APIs with built-in filtering, pagination, and mutations from existing databases and remote schemas. The project distinguishes itself through a fine-grained access control layer that enforces row-level and field-level permissions. It further provides a real-time data subscription server that converts standard queries into live streams and a system for triggering event-driven webhooks and notifi
Integrates REST APIs and custom resolvers as actions to handle data validation, enrichment, and complex business workflows.
Luigi is a Python framework designed for building and managing complex batch data pipelines. It functions as a workflow orchestration engine that organizes tasks into directed acyclic graphs, ensuring that jobs execute in the correct logical order based on their dependencies. By utilizing a centralized scheduler, the system coordinates task execution across distributed environments, tracks global workflow state, and prevents redundant processing by verifying the existence of output targets before triggering any work. The project distinguishes itself through a robust state-tracking mechanism t
Provides templates for defining processing tasks that require specific execution contexts directly within a pipeline.
This project is a curated directory and reference library of open-source Python applications. It serves as a comprehensive index designed to help developers study real-world software architecture, design patterns, and practical implementation strategies through a diverse collection of community-driven projects. The repository distinguishes itself by focusing on the analysis of production-ready software patterns rather than providing a single tool. It offers a structured way to explore how complex features, such as modular plugin systems, configuration management, and various deployment strate
Enables the execution of custom logic and calculations directly within data transformation pipelines.
Instructor is a framework designed for structured data extraction, validation, and language model integration. It functions as a library that transforms unstructured text into validated, type-safe objects by leveraging schema definitions and model-specific tool-calling capabilities. By acting as a validation middleware, the project ensures that language model outputs strictly conform to defined data structures. The library distinguishes itself through a robust validation-based retry loop that automatically re-submits failed responses with error feedback to iteratively correct schema complianc
Enables adding custom methods to extracted data models for domain-specific post-processing.
XNU هي نواة نظام تشغيل هجينة تجمع بين بنية النواة الدقيقة وطبقة متجانسة لخدمات النظام. توفر أساساً لتطوير نظام التشغيل، وتدمج واجهات استدعاء النظام القياسية، وإطار عمل تعريف جهاز معياري، وأمن التحكم في الوصول الإلزامي. تتميز البنية بنواة دقيقة قائمة على Mach وطبقة متجانسة قائمة على BSD. تستخدم ناقل تواصل بين العمليات قائم على تمرير الرسائل لتبادل البيانات الآمن بين مكونات النواة المعزولة وعمليات مساحة المستخدم، إلى جانب إطار عمل تعريف موجه للكائنات يفصل المنطق الخاص بالأجهزة عن النواة الأساسية. يتضمن النظام محرك تحكم في الوصول إلزامي لفرض الأمن القائم على السياسة ومصحح أخطاء نواة بعيد لفحص الذاكرة الحية وتحليل ذعر النظام. تغطي القدرات الإضافية جدولة المعالجات المتعددة، وتنسيق موارد الأجهزة، ونظام بناء لتوليد صور قابلة للتمهيد عبر بنيات مختلفة. يوفر المشروع أدوات لإدارة بناء النواة، وتوليد رموز التصحيح، وإطار عمل للتحقق من استدعاء النظام.
Provides a scripting bridge to create custom debugging commands and type summaries for complex kernel data structures.
Maestro is a declarative mobile and web UI automation framework designed for end-to-end testing. It operates by querying the native accessibility tree of an application, allowing for black-box testing without requiring source code instrumentation or platform-specific dependencies. The framework distinguishes itself through a unified command syntax that abstracts interactions across Android, iOS, and web environments. It features a dynamic synchronization engine that automatically pauses test execution to account for non-deterministic animations and network-dependent content loading, ensuring
Integrates external scripts to handle dynamic data generation, complex conditional logic, or API interactions.
QOwnNotes is a desktop note editor that stores each note as a plain-text Markdown file on the local filesystem, avoiding proprietary formats and enabling direct file access. It functions as a Nextcloud Notes client, syncing notes and metadata with Nextcloud or ownCloud servers through a companion API service for versioning and sharing. The application also integrates with AI providers and exposes a local MCP server for external agents to search and fetch notes, and includes a companion browser extension for capturing web content, bookmarks, and screenshots. The editor distinguishes itself thr
Provides an online script repository for installing extensions that add custom features and AI integrations.
HttpRunner is a multi-protocol network testing framework designed for automating functional and regression tests of HTTP interfaces. It functions as a multi-protocol network tester supporting HTTP/1.1, HTTP/2, WebSocket, TCP, and RPC to validate diverse communication patterns. The project includes specialized engines for API performance testing, data-driven testing, and a test case generator that converts HAR files, curl commands, and Swagger definitions into executable scripts. The framework is distinguished by its ability to separate test logic from business data via a data-driven execution
Supports integrating external scripts in multiple languages to handle complex business logic during tests.
Organize is a command-line utility designed to automate file system management, storage cleanup, and directory organization. It functions as a rule-based engine that processes files through sequential pipelines, allowing users to define complex workflows for moving, renaming, and managing local data. The system utilizes structured configuration files to map file system triggers to specific actions. It distinguishes itself through a simulation engine that allows users to preview the impact of their rules on a virtual file system before applying changes, ensuring data integrity. Additionally, t
Executes inline shell commands within automation workflows to handle complex file processing tasks.