{"data":{"slug":"polyaxon-polyaxon","name":"polyaxon","tagline":"AI Infra / AI Orchestration / AI Control Plane","github_url":"https://github.com/polyaxon/polyaxon","owner":"polyaxon","repo":"polyaxon","owner_avatar_url":"https://avatars.githubusercontent.com/u/24544827?v=4","primary_language":"MDX","stars":3714,"forks":326,"topics":["agents","artificial-intelligence","data-science","deep-learning","harness","hyperparameter-optimization","jupyter","jupyterlab","k8s","keras","kubernetes","machine-learning","mlops","notebook","pipelines","pytorch","reinforcement-learning","sandbox","tensorflow","workflow"],"archived":false,"github_pushed_at":"2026-07-04T10:02:40+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/polyaxon-polyaxon","markdown_url":"https://www.graphcanon.com/tools/polyaxon-polyaxon.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/polyaxon-polyaxon","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=polyaxon-polyaxon","description":"AI Infra / AI Orchestration / AI Control Plane","homepage_url":"https://polyaxon.com","license":"Apache-2.0","open_issues":125,"watchers":74,"ai_summary":null,"readme_excerpt":"# Install\n\n#### TL;DR;\n\n* Install CLI\n\n ```bash\n # Install Polyaxon CLI\n $ pip install -U polyaxon\n ```\n\n * Create a deployment\n\n ```bash\n # Create a namespace\n $ kubectl create namespace polyaxon\n\n # Add Polyaxon charts repo\n $ helm repo add polyaxon https://charts.polyaxon.com\n\n # Deploy Polyaxon\n $ polyaxon admin deploy -f config.yaml\n\n # Access API\n $ polyaxon port-forward\n ```\n\nPlease check [polyaxon installation guide](https://polyaxon.com/docs/setup/)\n\n---\n\n# Quick start\n\n#### TL;DR;\n\n * Start a project\n\n ```bash\n # Create a project\n $ polyaxon project create --name=quick-start --description='Polyaxon quick start.'\n ```\n\n * Train and track logs & resources\n\n ```bash\n # Upload code and start experiments\n $ polyaxon run -f experiment.yaml -u -l\n ```\n\n * Dashboard\n\n ```bash\n # Start Polyaxon dashboard\n $ polyaxon dashboard\n\n Dashboard page will now open in your browser. Continue? [Y/n]: y\n ```\n\n
\n

\n \"compare\"\n \"dashboards\"\n

\n
\n\n * Notebook\n ```bash\n # Start Jupyter notebook for your project\n $ polyaxon run --hub notebook\n ```\n\n
\n

\n \"compare\"\n

\n
\n\n * Tensorboard\n ```bash\n # Start TensorBoard for a run's output\n $ polyaxon run --hub tensorboard -P uuid=UUID\n ```\n\n
\n

\n \"tensorboard\"\n

\n
\n\nPlease check our [quick start guide](https://polyaxon.com/docs/intro/quick-start/) to start training your first experiment.","github_created_at":"2016-12-26T12:48:47+00:00","created_at":"2026-07-11T23:29:09.170744+00:00","updated_at":"2026-07-12T00:46:22.51181+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"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":"agents","name":"agents"},{"slug":"artificial-intelligence","name":"artificial-intelligence"},{"slug":"data-science","name":"data-science"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"harness","name":"harness"},{"slug":"hyperparameter-optimization","name":"hyperparameter-optimization"},{"slug":"jupyter","name":"jupyter"},{"slug":"jupyterlab","name":"jupyterlab"}],"trust":{"provenance":{"is_fork":false,"github_id":77383688,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:29:10.339Z","maintenance":{"label":"Active","score":82,"methodology":"github_public_v1","releases_90d":0,"days_since_push":7,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:29:10.834Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-12T00:45:59.404Z"},"languages":{"value":["mdx"],"source":"github.language","observed_at":"2026-07-12T00:45:59.404Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-07-12T00:45:59.404Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["You require a platform that natively integrates with Kubernetes to manage and scale your ML jobs across multiple clusters efficiently.","Your team is heavily invested in Jupyter notebooks for experimentation, leveraging Polyaxon can simplify the transition from local development to production setups while preserving notebook workflows."],"when_not_to_use":["If you are looking for a lightweight experiment tracking system without advanced orchestration capabilities and are limited by infrastructure that cannot support Kubernetes.","For projects where the emphasis is on small-scale models or single-node experimentation, as Polyaxon's feature set may introduce unnecessary complexity."],"source":"enrich:decision_facts","observed_at":"2026-07-12T00:46:22.276Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Polyaxon is an orchestration tool for managing machine learning workflows including experimentation, hyperparameter tuning, and MLOps. It supports multiple deep learning frameworks such as TensorFlow, PyTorch, and Keras."}]}}