{"data":{"slug":"open-edge-platform-geti-v2","name":"geti_v2","tagline":"Build computer vision models quickly with less data","github_url":"https://github.com/open-edge-platform/geti_v2","owner":"open-edge-platform","repo":"geti_v2","owner_avatar_url":"https://avatars.githubusercontent.com/u/198827667?v=4","primary_language":"TypeScript","stars":483,"forks":51,"topics":["computer-vision","deep-learning","fine-tuning","geti","inference","openvino"],"archived":true,"github_pushed_at":"2026-07-30T09:18:51+00:00","maintenance_label":"Archived","stars_delta_30d":-1,"url":"https://www.graphcanon.com/tools/open-edge-platform-geti-v2","markdown_url":"https://www.graphcanon.com/tools/open-edge-platform-geti-v2.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/open-edge-platform-geti-v2","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=open-edge-platform-geti-v2","description":"⚠️ Legacy repository for Geti v2.x. For Geti v3.0+, visit https://github.com/open-edge-platform/geti","homepage_url":"https://docs.geti.intel.com/docs/2.0/user-guide/getting-started/introduction","license":"Other","open_issues":87,"watchers":12,"ai_summary":"A platform for developing computer vision models efficiently using less data. It supports deep learning and model fine-tuning.","readme_excerpt":"## 🛫 Getting Started\n\nGeti™ can be deployed either on a local machine, on-premises, or on a virtual machine. Geti™ software uses Kubernetes to orchestrate various component services. The client front end uses HTTP protocol to connect to the platform, so users can access the software through a web browser.\n\nGeti™ can be installed:\n\n- [Using the Geti™ Installer](https://docs.geti.intel.com/docs/user-guide/getting-started/installation/using-geti-installer)\n- [Using Helm Charts](https://docs.geti.intel.com/docs/user-guide/getting-started/installation/using-helm-charts)\n\nQuick Start videos:\n\n- [Geti™ - Anyone can build AI solutions](https://www.youtube.com/playlist?list=PLg-UKERBljNy-3VOK6tzYe69KbXZv1z5a)\n\n---\n\n## 📝 License\n\nGeti™ repository is licensed under [LIMITED EDGE SOFTWARE DISTRIBUTION LICENSE](LICENSE).\n\nModels fine-tuned by Geti™ are licensed under [Apache License Version 2.0](https://opensource.org/licenses/Apache-2.0).\n\nFFmpeg is an open source project licensed under LGPL and GPL. See https://www.ffmpeg.org/legal.html. You are solely responsible for determining if your use of FFmpeg requires any additional licenses. Intel is not responsible for obtaining any such licenses, nor liable for any licensing fees due, in connection with your use of FFmpeg.\n\n---\n\n\\* Other names and brands may be claimed as the property of others.","github_created_at":"2025-04-10T09:02:28+00:00","created_at":"2026-07-11T11:41:22.863869+00:00","updated_at":"2026-09-20T06:31:35.842843+00:00","categories":[{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"computer-vision","name":"computer-vision"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"inference","name":"inference"}],"trust":{"provenance":{"is_fork":false,"github_id":963821528,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-19T18:27:49.069Z","maintenance":{"label":"Archived","score":8,"methodology":"github_public_v1","releases_90d":0,"days_since_push":51,"last_release_at":"2025-12-12T12:44:31Z","stars_delta_30d":-1,"open_issues_delta_30d":1},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:41:26.326Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-19T18:27:50.083Z"},"languages":{"value":["typescript"],"source":"github.language","observed_at":"2026-09-19T18:27:50.083Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-09-19T18:27:50.083Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"unknown","summary":"Pricing information is not provided."},"requirements":{"min_ram_gb":0,"requires_docker":false},"constraints":{"min_ram_gb":0,"pricing_model":"unknown","requires_docker":false},"when_to_use":["When you have a shortage of labeled data but still require high accuracy in your computer vision model.","If you are working on projects where rapid prototyping and quick iterations are crucial due to time constraints."],"when_not_to_use":["When you need to work with languages other than TypeScript, as geti_v2 is specifically designed for use with TypeScript environments.","In scenarios where you have abundant labeled data and can afford longer training times, which may not leverage the key advantage of geti_v2's efficiency in low-data conditions."],"source":"enrich:decision_facts","observed_at":"2026-07-12T08:29:01.828Z"},"constraint_facets":{"min_ram_gb":0,"pricing_model":"unknown","requires_docker":false},"decision_summary":[{"label":"Pricing","value":"unknown - Pricing information is not provided."},{"label":"Requirements","value":"Min 0 GB RAM"},{"label":"Adopt for","value":"geti_v2 is designed for developers who need to build computer vision models quickly using limited datasets. It supports TypeScript and integrates with frameworks like OpenVINO."},{"label":"License detail","value":"The licensing type is listed as 'Other', implying that the license details should be closely reviewed for specific terms."}]}}