{"id":38485215,"url":"https://github.com/hailo-ai/hailort","last_synced_at":"2026-04-05T09:03:05.888Z","repository":{"id":41321080,"uuid":"465229210","full_name":"hailo-ai/hailort","owner":"hailo-ai","description":"An open source light-weight and high performance inference framework for Hailo devices","archived":false,"fork":false,"pushed_at":"2025-11-09T13:05:38.000Z","size":5925,"stargazers_count":138,"open_issues_count":2,"forks_count":54,"subscribers_count":10,"default_branch":"master","last_synced_at":"2025-11-09T15:06:48.841Z","etag":null,"topics":["deep-learning","edge-ai","hardware-acceleration","machine-learning","neural-networks"],"latest_commit_sha":null,"homepage":"https://hailo.ai/","language":"C++","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hailo-ai.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2022-03-02T08:59:43.000Z","updated_at":"2025-11-09T13:04:28.000Z","dependencies_parsed_at":"2023-02-14T10:01:53.339Z","dependency_job_id":"2863917b-32b7-485e-9823-53f53df8e95c","html_url":"https://github.com/hailo-ai/hailort","commit_stats":null,"previous_names":[],"tags_count":26,"template":false,"template_full_name":null,"purl":"pkg:github/hailo-ai/hailort","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hailo-ai%2Fhailort","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hailo-ai%2Fhailort/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hailo-ai%2Fhailort/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hailo-ai%2Fhailort/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hailo-ai","download_url":"https://codeload.github.com/hailo-ai/hailort/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hailo-ai%2Fhailort/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28500162,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-17T04:31:57.058Z","status":"ssl_error","status_checked_at":"2026-01-17T04:31:45.816Z","response_time":85,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","edge-ai","hardware-acceleration","machine-learning","neural-networks"],"created_at":"2026-01-17T05:34:56.370Z","updated_at":"2026-01-17T05:34:56.911Z","avatar_url":"https://github.com/hailo-ai.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"left\"\u003e\n  \u003cimg src=\".hailort.jpg\" /\u003e\n\u003c/p\u003e\n\nNote: The `master` branch supports only the Hailo-10 and Hailo-15 device families. For Hailo-8, Hailo-8R, and Hailo-8L devices, please use the `hailo8` branch.\n\n# HailoRT #\n\nHailoRT is a lightweight, production-grade runtime library that runs on the host processor and provides a robust\nuser-space library (the HailoRT Library) with intuitive APIs in C/C++ for optimized performance\n\nHailoRT consists of the following main components:\n- HailoRT Library.\n- HailoRT CLI - a command line application used to control the Hailo device, run inferences, collect statistics and device events, etc.\n- [**HailoRT PCIe Driver**](https://github.com/hailo-ai/hailort-drivers) - the device driver used to manage the Hailo device, communicate with the device,\nand transfer data to/from the device; it includes the Hailo-8 firmware that runs on the Hailo device and manages its boot and control.\n- pyHailoRT - HailoRT Python API, which wraps the runtime library.\n- HailoRT GStreamer element (HailoNet).\n\nHailoRT supports Linux and Windows, and it can be compiled from sources to be integrated with various x86 and ARM processors.\n\n## Usage\n\nSee [**hailo.ai developer zone documentation**](https://hailo.ai/developer-zone/documentation/hailort/latest/) (registration is required for  full documentation access).\n\nFor compilation instructions, see  [**Compiling HailoRT from Sources**](https://hailo.ai/developer-zone/documentation/hailort/latest/?sp_referrer=install/install.html#compiling-from-sources).\n\nFor HailoRT API examples - see [**HailoRT examples**](https://github.com/hailo-ai/hailort/tree/master/hailort/libhailort/examples).\n\n## Changelog\n\nSee [**hailo.ai developer zone - HailoRT changelog**](https://hailo.ai/developer-zone/documentation/hailort/latest/?sp_referrer=changelog/changelog.html) (registration required).\n\n## Licenses\n\nHailoRT uses 2 licenses:\n- libhailort, pyhailort \u0026 hailortcli - distributed under the [**MIT license**](https://opensource.org/licenses/MIT)\n- hailonet (GStreamer plugin) - distributed under the [**LGPL 2.1 license**](https://www.gnu.org/licenses/old-licenses/lgpl-2.1.txt)\n\n## Support\n\nIf you need support, please post your question on our [**Hailo community Forum**](https://community.hailo.ai/) for assistance.\n\nContact information is available at [**hailo.ai**](https://hailo.ai/contact-us/).\n\n## About Hailo\n\nHailo offers breakthrough AI Inference Accelerators and AI Vision Processors uniquely designed to accelerate embedded deep learning applications on edge devices.\n\nThe Hailo AI Inference Accelerators allow edge devices to run deep learning applications at full scale more efficiently, effectively, and sustainably, with an architecture that takes advantage of the core properties of neural networks.\n\nThe Hailo AI Vision Processors (SoC) combine Hailo's patented and field proven AI inferencing capabilities with advanced computer vision engines, generating premium image quality and advanced video analytics.\n\nFor more information, please visit [**hailo.ai**](https://hailo.ai/).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhailo-ai%2Fhailort","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhailo-ai%2Fhailort","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhailo-ai%2Fhailort/lists"}