Opal هو محرك توزيع سياسات ومزامنة بيانات تفويض في الوقت الفعلي. يعمل كطائرة إدارة لنشر ومراقبة محركات السياسات الموزعة، مثل OPA وCedar، عبر بنيات الخدمات المصغرة. يقوم المشروع بمركزة إدارة السياسات والبيانات أثناء نشر نقاط اتخاذ القرار اللامركزية.
الميزات الرئيسية لـ permitio/opal هي: Policy Push Distribution, Policy Administration Servers, Distributed Authorization Management, Centralized Policy Administration, Data Synchronization WebSockets, Provider-Based Fetching, Authorization Data Retrievals, Data Tenant Isolators.
تشمل البدائل مفتوحة المصدر لـ permitio/opal: cerbos/cerbos — Cerbos is an open-source authorization service that provides a centralized, language-agnostic engine for managing… permify/permify. sadmann7/tablecn — Tablecn is a React-based data table component that combines server-side data processing with real-time collaboration… tanweai/pua — PUA is an agentic workflow orchestrator and behavioral governance tool designed to enhance the reliability and… grafana/mimir — Mimir is a multi-tenant time series database and distributed metrics store designed for scalable telemetry. It serves… gaearon/react-hot-loader — react-hot-loader is a developer utility for updating React components and hooks in real time. It functions as a…
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
Tablecn is a React-based data table component that combines server-side data processing with real-time collaboration features. It provides a structured approach to building interactive tables using reusable components and a declarative column configuration system that automatically generates filter interfaces. The project distinguishes itself through its contextual action bar pattern, which surfaces batch operations only when rows are selected, keeping the main interface uncluttered. It supports virtualized row rendering for performance with large datasets, and uses WebSocket connections to s
PUA is an agentic workflow orchestrator and behavioral governance tool designed to enhance the reliability and autonomy of AI coding assistants. It functions as a prompting framework and extension that implements strict engineering standards and verification requirements to prevent hallucinations and premature task completion. The project distinguishes itself through high-agency enforcement mechanisms, including escalating prompt pressure and failure-driven recovery loops that automatically pivot problem-solving strategies after repeated errors. It utilizes a diagnosis-first workflow that man