Okyline is an Executable Data Design (EDD) platform for declarative data validation contracts and measurable operational data quality.
Instead of maintaining disconnected specifications, validators, tests, and quality dashboards, Okyline uses a single executable contract as the operational source of truth for validation and flow quality monitoring.
The same readable contract drives multi-format validation, deterministic execution, quality measurement, data quality gate, and historical quality analytics across APIs, events, files, LLM structured outputs, and enterprise data flows.
Community Edition provides the open specification, a free Java validation runtime, a public Claude AI assistant for contract generation, and a free online studio for executable JSON validation contracts and JSON Schema transpilation.
Enterprise Edition supports direct validation of JSONL, XML, CSV, FIXED, and EDI flows, data quality gate, and operational quality dashboards, all without databases
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Denodo is an intelligent data platform that helps organizations deliver live, unified, and governed data for trustworthy AI, analytics, and self-service initiatives. The platform uses logical data management to connect distributed data across hybrid, multi-cloud, on-premises, SaaS, and third-party environments without requiring data movement or duplication. Denodo helps businesses integrate data silos, enable self-service access, enforce governance, deliver real-time insights, and enrich data with business context. It is designed to support agentic AI by giving AI agents accurate, up-to-date, and governed enterprise data for better decisions and actions. The platform includes capabilities such as zero-copy data access, unified semantics, centralized compliance, natural language search, data marketplaces, and optimized query performance.
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Data Contract Editor
Data Contract Editor is a web-based editor for creating and managing data contracts using the Open Data Contract Standard. It makes creating, editing, viewing, and validating data contracts simple and accessible, especially when writing YAML directly is not intuitive. The editor supports ODCS, including support for v3.1.0, and gives users multiple ways to work with the same contract; a Visual Editor for defining data models and relationships through a visual interface, a Form Editor for guided input across standard data contract properties, and a YAML Editor for editing contracts directly in YAML with code completion. It also includes a live HTML preview, instant validation feedback, linting, diff view, and testing capabilities to check whether data contracts match actual data products. Users can open it directly as a web application, start it locally with npx datacontract-editor, edit a specific data contract file, or run it in a Docker container.
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