{"data":{"slug":"radicalbit-radicalbit-ai-monitoring","name":"radicalbit-ai-monitoring","tagline":"Comprehensive solution for AI model monitoring in production","github_url":"https://github.com/radicalbit/radicalbit-ai-monitoring","owner":"radicalbit","repo":"radicalbit-ai-monitoring","owner_avatar_url":"https://avatars.githubusercontent.com/u/15193199?v=4","primary_language":"Python","stars":92,"forks":11,"topics":["ai","ai-monitoring","ai-observability","artificial-intelligence","data-drift","data-science","llm-observability","machine-learning","machine-learning-engineering","ml-observability","monitoring","observability"],"archived":false,"github_pushed_at":"2026-06-15T15:05:53+00:00","maintenance_label":"Steady","stars_delta_30d":9,"url":"https://www.graphcanon.com/tools/radicalbit-radicalbit-ai-monitoring","markdown_url":"https://www.graphcanon.com/tools/radicalbit-radicalbit-ai-monitoring.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/radicalbit-radicalbit-ai-monitoring","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=radicalbit-radicalbit-ai-monitoring","description":"A comprehensive solution for monitoring your AI models in production","homepage_url":"https://docs.oss-monitoring.radicalbit.ai/","license":"Apache-2.0","open_issues":16,"watchers":5,"ai_summary":"radicalbit/radicalbit-ai-monitoring offers a platform to monitor and observe artificial intelligence models through a Docker Compose setup with support for K3s.","readme_excerpt":"## 🚀 Installation using Docker compose\n\nThis repository provides a Docker Compose file for running the platform locally with a K3s cluster. This setup allows you to deploy Spark jobs.\n\nTo run, simply:\n\n```bash\ndocker compose up\n```\n\nIf the UI is needed:\n\n```bash\ndocker compose --profile ui up\n```\n\nIn order to initialize the platform with demo models you can run:\n\n```bash\ndocker compose --profile ui --profile init-data up\n```\n\nOnce all containers are up & running, you can go to [http://localhost:5173](http://127.0.0.1:5173) to play with the app.","github_created_at":"2024-06-19T14:49:34+00:00","created_at":"2026-07-15T10:41:30.061157+00:00","updated_at":"2026-09-20T04:25:30.673514+00:00","categories":[{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"ai-monitoring","name":"ai-monitoring"},{"slug":"data-drift","name":"data-drift"},{"slug":"machine-learning-engineering","name":"machine-learning-engineering"},{"slug":"ml-observability","name":"ml-observability"}],"trust":{"provenance":{"is_fork":false,"github_id":817365099,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-10T06:00:58.077Z","maintenance":{"label":"Steady","score":60,"methodology":"github_public_v1","releases_90d":0,"days_since_push":86,"last_release_at":"2025-12-16T13:59:17Z","stars_delta_30d":9,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T10:41:31.329Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-10T06:00:58.536Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-09-10T06:00:58.536Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-10T06:00:58.536Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"notes":["Requires Docker Compose for local deployment setup and K3s support to deploy Spark jobs."]},"constraints":null,"when_to_use":["When you require a comprehensive solution that supports both machine learning observability and data drift detection deployed through Docker Compose setup.","If your infrastructure is already set up to use K3s, this tool can seamlessly integrate into your existing environment for monitoring AI models."],"when_not_to_use":["When your deployment does not support or plan to avoid using Docker Compose and K3s for running Spark jobs.","In cases where a more specific solution is needed that focuses solely on one aspect of observability, rather than this comprehensive approach with AI model monitoring."],"source":"enrich:decision_facts","observed_at":"2026-07-16T21:06:18.644Z"},"constraint_facets":null,"decision_summary":[{"label":"Requirements","value":"Requires Docker Compose for local deployment setup and K3s support to deploy Spark jobs."},{"label":"Adopt for","value":"radicalbit-ai-monitoring provides a Docker Compose-based platform for monitoring AI models in production with support for K3s and Spark job deployments."},{"label":"License detail","value":"This tool uses the Apache-2.0 license, allowing use in both open-source and commercial applications provided you comply with its terms."}]}}