{"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":3737,"forks":330,"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":"2026-09-24T10:20:58+00:00","maintenance_label":"Very active","stars_delta_30d":20,"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":75,"ai_summary":"Polyaxon is a platform for orchestrating and managing machine learning workflows, including hyperparameter optimization, model training, tracking experiments, and using Jupyter notebooks.","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 \n \n
\n \n\n * Notebook\n ```bash\n # Start Jupyter notebook for your project\n $ polyaxon run --hub notebook\n ```\n\n \n
\n \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 \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":"2026-09-29T06:00:10.327882+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"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":"2026-09-29T06:00:09.360Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":0,"days_since_push":4,"last_release_at":null,"stars_delta_30d":20,"open_issues_delta_30d":-1},"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":"2026-09-29T06:00:10.007Z"},"languages":{"value":["mdx"],"source":"github.language","observed_at":"2026-09-29T06:00:10.007Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-29T06:00:10.007Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need comprehensive hyperparameter optimization.","When integration with Kubernetes is a requirement.","For tight coupling between ML training and Jupyter Notebook environments."],"when_not_to_use":["If preferring lightweight tools without complex setup.","With simpler projects not requiring fine-grained orchestration.","When TensorBoard integration is not necessary for experiments tracking."],"source":"enrich:decision_facts","observed_at":"2026-07-12T11:43:58.306Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Use Polyaxon for advanced orchestration of ML workflows with emphasis on hyperparameter tuning, CI/CD integrations, and deep support for Jupyter and TensorBoard."}]}}
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