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@open-edge-platform

Open Edge Platform

Welcome to the Open Edge Platform GitHub Organization!

Open Edge Platform is an Intel®-optimized open software platform for developing and testing scalable edge solutions.

It offers a modular, composable software stack that brings together the open source ecosystem to help you design and build performant edge solutions that operate with cloud-like capabilities.

The platform comprises five key repositories:

  • Edge AI Suites - curated collections of sample applications designed as a reference to help you develop optimized AI products tailored to specific use cases. Suites incorporate a variety of shared Open Edge Platform components, as well as their own and third-party building blocks. Currently, seven suites are featured:

  • Edge AI Libraries provide edge-optimized libraries, tools, SDKs, and microservices to support you in developing performant edge AI applications, along with user-friendly workflows for optimization and deployment.

  • Image Composer Tool is a framework providing a general-purpose toolchain for composing OS images from pre-built artifacts of any Linux distribution that supports Debian or RPM packages. You can generate edge-optimized OS images using Intel's pre-set YAML templates or your own customizations.

  • Edge Microvisor Toolkit is an edge-optimized container host offering the latest Intel silicon capabilities, for exploring advanced AI workloads at the edge. It is a minimal-footprint system based on the Azure Linux distribution, sharing its open source license.

  • Edge Workloads and Benchmarks are performance-optimized pipelines that leverage the OpenVINO™ toolkit, the GStreamer multimedia framework, and Deep Learning Streamer (DL Streamer) for validating media and edge AI analytics.

Each repository includes contribution guidelines and templates for reporting issues.

You can access the platform documentation at the OEP Documentation Website to learn more about all the components, and use the documentation AI assistant to ask questions regarding the software.

Unless otherwise noted, the platform’s repositories are primarily released under the Apache 2.0 license.

Join our community and help shape the future of the edge!

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  1. edge-ai-suites edge-ai-suites Public

    A curated collection of sample applications intended for reference in developing optimized AI solutions and testing hardware performance across various industry use cases.

    Python 138 169

  2. edge-ai-libraries edge-ai-libraries Public

    Libraries, microservices, tools, and other reference software, supporting development of performance-optimized Edge AI applications.

    Python 166 150

  3. edge-microvisor-toolkit edge-microvisor-toolkit Public

    The Edge Microvisor Toolkit is a streamlined container host that showcases Intel® silicon optimizations. Built on the Azure Linux distribution, it features a Linux kernel maintained by Intel, incor…

    RPM Spec 64 58

  4. edge-workloads-and-benchmarks edge-workloads-and-benchmarks Public

    Edge Workloads and Benchmarks are performance-optimized pipelines that leverage the OpenVINO toolkit, the GStreamer multimedia framework, and the Deep Learning Streamer (DL Streamer) for validating…

    Shell 14 10

  5. image-composer-tool image-composer-tool Public

    This framework provides a general-purpose toolchain for composing OS images from pre-built artifacts of any Linux distribution that supports Debian or RPM packages. With Image Composer Tool, you ca…

    Go 15 23

  6. edge-developer-kit-reference-scripts edge-developer-kit-reference-scripts Public

    Developer kits reference setup scripts for various kinds of Intel platforms and GPUs

    Shell 54 18

Repositories

Showing 10 of 68 repositories
  • open-edge-platform/health-and-life-sciences-ai-suite's past year of commit activity
    Python 0 Apache-2.0 0 0 0 Updated Sep 30, 2026
  • open-edge-platform/federal-and-aerospace-ai-suite's past year of commit activity
    Python 0 Apache-2.0 0 0 0 Updated Sep 30, 2026
  • open-edge-platform/education-ai-suite's past year of commit activity
    Python 0 Apache-2.0 0 0 0 Updated Sep 30, 2026
  • edge-microvisor-toolkit-standalone-node Public

    Edge-optimized immutable Edge Microvisor Toolkit, integrated with Kubernetes and foundational extensions

    open-edge-platform/edge-microvisor-toolkit-standalone-node's past year of commit activity
    Shell 28 Apache-2.0 13 0 4 Updated Oct 1, 2026
  • image-composer-tool Public

    This framework provides a general-purpose toolchain for composing OS images from pre-built artifacts of any Linux distribution that supports Debian or RPM packages. With Image Composer Tool, you can generate edge-optimized OS images using Intel's pre-curated YAML templates or your own customization.

    open-edge-platform/image-composer-tool's past year of commit activity
    Go 15 MIT 23 23 26 Updated Oct 1, 2026
  • scenescape Public

    Multimodal object tracking and scene analytics for highly actionable, real-world contextualized data

    open-edge-platform/scenescape's past year of commit activity
    Python 47 51 12 32 Updated Oct 1, 2026
  • dlstreamer Public

    Deep Learning Streamer (DL Streamer) Pipeline Framework is an open-source streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics pipelines for the Cloud or at the Edge.

    open-edge-platform/dlstreamer's past year of commit activity
    C++ 636 MIT 209 5 20 Updated Oct 1, 2026
  • physical-ai-studio Public

    Physical AI Studio is an end-to-end framework for training robots to perform tasks through imitation learning from human demonstrations.

    open-edge-platform/physical-ai-studio's past year of commit activity
    Python 127 Apache-2.0 51 84 23 Updated Oct 1, 2026
  • datumaro Public

    Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

    open-edge-platform/datumaro's past year of commit activity
    Python 692 MIT 162 24 (1 issue needs help) 6 Updated Oct 1, 2026
  • geti-instant-learn Public

    A modular framework for few-shot visual segmentation using visual prompting techniques. Enables easy experimentation with different algorithms, backbones (SAM, MobileSAM, DinoV2), and pipeline components for finding and segmenting objects from just a few examples.

    open-edge-platform/geti-instant-learn's past year of commit activity
    Python 24 Apache-2.0 10 67 25 Updated Oct 1, 2026

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