ZenML 0.80.0 transforms tenant structures into workspace/project hierarchies with advanced RBAC for Pro users, while enhancing tagging, resource filtering, and dashboard design. Open-source improvements include Kubernetes security upgrades, SkyPilot integration, and significantly faster CLI operations. Both Pro and OSS users benefit from dramatic performance optimizations, GitLab improvements, and enhanced build tracking.
ZenML 0.75.0 introduces dashboard enhancements that allow users to create and update stack components directly from the dashboard, along with improvements to service connectors, model artifact handling, and documentation. This release streamlines ML workflows with better component management capabilities, enhanced SageMaker integration, and critical fixes for custom flavor components and sorting logic.
ZenML's new Experiment Comparison Tool brings powerful experiment tracking capabilities to your ML pipelines. Compare up to 20 pipeline runs simultaneously through intuitive tabular and parallel coordinates visualizations, helping teams derive actionable insights from their pipeline metadata. Now available in the Pro tier dashboard.
ZenML 0.71.0 features the Modal Step Operator for fast, configurable cloud execution, dynamic artifact naming, and enhanced visualizations. It improves API token management, dashboard usability, and infrastructure stability while fixing key bugs. Expanded documentation supports advanced workflows and big data management.
ZenML 0.68.0 introduces several major enhancements including the return of stack components visualization on the dashboard, powerful client-side caching for improved performance, and a streamlined onboarding process that unifies starter and production setups. The release also brings improved artifact management with the new `register_artifact` function, enhanced BentoML integration (v1.3.5), and comprehensive documentation updates, while deprecating legacy features including Python 3.8 support.
This release incorporates updates to the SageMaker Orchestrator, DAG Visualizer, and environment variable handling. It also includes Kubernetes support for Skypilot and an updated Deepchecks integration. Various other improvements and bug fixes have been implemented across different areas of the platform.
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