
SurveyJS is a set of four open-source JavaScript libraries that offer the benefits of a tailor-made in-house survey application, while considerably reducing the time and resources needed to deploy the system. These libraries are independent of specific server code or database requirements and seamlessly integrate with popular JavaScript frameworks, including React, Angular, Vue.js, jQuery, Knockout, and more. They are designed to communicate with any server that can handle JSON requests, ensuring compatibility with various server architectures and databases.
The product family is composed of:
- An open-source MIT-licensed rendering library that renders dynamic JSON-based forms in your web application, and collects responses.
- A self-hosted drag & drop form builder that features an integrated CSS-based theme editor and a GUI for conditional rules. It automatically generates JSON definitions (schemas) of your forms in real time.
- PDF Generator, a library that renders SurveyJS surveys and forms as PDF files in a browser;
- The Dashboard library that allows you to simplify survey data analysis with interactive and customizable charts and tables.
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Okyline is an Executable Data Design (EDD) platform focused on executable validation contracts and operational data quality control.
Rather than managing separate specifications, validation code, tests, and monitoring dashboards, Okyline centralizes validation and quality supervision around a single readable executable contract acting as the operational reference for enterprise data flows.
The same contract powers deterministic validation, advanced business invariant checks, multi-format execution, data quality gates, and historical quality analytics across APIs, events, files, LLM structured outputs, and distributed operational systems.
Contracts are designed directly from annotated sample data, making validation rules immediately understandable for developers, architects, QA teams, and business analysts.
The Community Edition includes the public specification, a free Java runtime engine, a Claude AI assistant for contract generation, and an online studio supporting executable JSON validation contracts and JSON Schema transpilation.
The Enterprise Edition adds native validation for JSONL, XML, CSV, FIXED, and EDI flows together with operational quality dashboards and data quality gates, without requiring databases or centralized infrastructure.erprise Edition supports direct validation of JSON, JSONL, XML, CSV, FIXED, and EDI flows with operational quality dashboards and analytics, without databases.
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AdonisFX
AdonisFX serves as a digital anatomy framework designed specifically for both Maya and Houdini platforms. Its advanced layered solvers efficiently handle muscles, fat, skin, and facial simulation, ensuring high-quality output across various scenarios, whether for background characters or main focal points. The interactive simulation feature allows users to jump to any frame for immediate, precise results, eliminating the need for linear playback or waiting periods for recalculations. With self-collision detection, it effectively prevents interpenetration during extreme poses, while anisotropic muscle simulation enhances the realism of directional fiber behavior, resulting in lifelike tissue deformation. The framework's modular architecture allows seamless scaling from basic rigs to complex hero anatomy without the need for reconstruction. Moreover, characters can be transferred between Maya and Houdini effortlessly, ensuring a smooth operation within hybrid pipelines and maintaining data integrity throughout the process. This versatility and efficiency make AdonisFX an invaluable tool for animators and visual effects artists alike.
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Adonis
Adonis is an innovative platform powered by artificial intelligence that seeks to transform revenue cycle management through its capabilities in monitoring, alerting, and resolving dynamic issues. It significantly improves task prioritization within RCM organizations by offering insights into denial patterns, underpayments, and performance metrics. Utilizing AI-driven analytics, Adonis aims not only to boost first-pass acceptance rates but also to reduce human errors, effectively surpassing traditional automation methods. The platform takes a proactive approach to preventing denials while automating routine tasks, thereby enabling teams to dedicate more time to enhancing patient care and overall experience. Moreover, Adonis integrates effortlessly with current electronic health records, practice management systems, billing frameworks, and patient portals in real-time, which helps to eliminate data silos and ensures a streamlined workflow. Its adaptable solutions cater to a range of healthcare organizations, including physician group practices, hospitals, healthcare systems, digital health providers, and practice management services, making it a versatile choice in the industry. By focusing on collaboration and efficiency, Adonis not only improves operational performance but also elevates the standard of care delivered to patients.
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