Polyaxon: AI control plane to schedule, run, debug, observe, and automate AI/ML workloads, agents, and sandboxes on your infrastructure. (AIOps/MLOps/AgentOps) | 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
Sandbox: Sandbox daemon for running AI agents and interactive sessions for Polyaxon | code
Haupt: Lineage metadata API, artifacts streams, sandbox, ML-API, and spaces for Polyaxon | code
Gatewayai: Unified LLM provider abstraction with streaming, adapters, credential pooling, and HTTP/SSE access | code
Helm Charts: For creating reproducible and maintainable deployments of Polyaxon with Kubernetes | code
CLI: Polyaxon Core Client & CLI | code
Vents: Connections catalog, integrations, tools, alerting, and notifications library | code
SDKs: Low level clients & language interfaces | code
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 ML/AI/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
