Tools:
Polyaxon: Machine learning management & orchestration Platform (MLOps) | code
MLOperator: Machine learning operator & controller for Kubernetes | code
TraceML: Engine for ML/Data tracking, visualization, dashboards, and model UI for Polyaxon | code
HyperTune: A library for performing hyperparameter optimization | code
Haupt: Lineage metadata API, artifacts streams, sandbox, ML-API, and spaces for Polyaxon | code
Helm Charts: For creating reproducible and maintainable deployments of Polyaxon with Kubernetes | code
CLI: Polyaxon Core Client & CLI | code
SDKs: Low level clients & language interfaces | code
Deployment options:
Community Edition: Get started locally or on your own cluster with our Machine learning management & orchestration Platform (MLOps) | website
Hybrid Cloud Deployment: A fully managed control plane for end to end data science orchestration, with on-premise security | website
Enterprise Edition: A powerful offering for larger organizations in need of security, monitoring, compliance, faster data scientists onboarding, higher performance, granular access, ... | website
