Open-CITE

AI-powered Diagnosis & Healthcare Analytics

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Open-CITE is an open-source platform designed to automatically discover, catalog, and visualize artificial intelligence and machine learning assets across various cloud environments and enterprise infrastructure, facilitating centralized management and oversight. Its core features include multi-platform discovery from cloud providers like AWS, Azure, and Google Cloud, real-time trace collection through OpenTelemetry integration, an extensible plugin architecture for supporting diverse discovery sources, and interactive lineage graphs that map relationships between AI tools, models, and agents, as well as standardized data export capabilities for governance and compliance. This solution addresses the challenges of managing complex AI ecosystems by providing data scientists, ML engineers, IT administrators, and enterprise stakeholders with an intuitive interface for asset inventory, relationship mapping, automation, and governance, ensuring efficient tracking, security,.

Open-CITE can be found in AI-powered Diagnosis & Healthcare Analytics categories.

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Open-CITE Main Features

• Lineage Graphs
  It shows interactive diagrams that display how AI tools, models, and agents are connected and related.
• Flexible Deployment
  You can run Open-CITE as a Python library, a computer graphical interface, a REST API, or as a container in Docker or Kubernetes.
• Plugin Architecture
  You can add support for new platforms by using plugins, and only turn on the ones you need.
• OpenTelemetry Native
  It has a built-in feature to collect real-time traces of AI tools and models using OpenTelemetry.
• Unified Schema Export
  It can save all discovered AI tools and assets in a standard JSON file for easy use in other tools or compliance.
• Multi-Platform Discovery
  It can automatically find AI and ML tools on many cloud platforms like Databricks, AWS, Google Cloud, and Azure from one simple tool.

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