Server & SDK

Changelog for ZenML OSS and ZenML UI.

Stay up to date with the latest features, improvements, and fixes in ZenML OSS.

0.92.0 (2025-12-02)

See what's new and improved in version 0.92.0.

ZenML 0.92.0

Dynamic Pipeline Support Expansion

This release significantly expands support for dynamic pipelines across multiple orchestrators:

  • AWS Sagemaker Orchestrator: Added full support for running dynamic pipelines with seamless transition from existing settings and faster execution through direct use of training jobs. PR #4232

  • Vertex AI Orchestrator: Dynamic pipelines are now fully supported on Google Cloud's Vertex AI platform. PR #4246

  • Kubernetes Orchestrator: Improved dynamic pipeline handling by eliminating unnecessary pod restarts. PR #4261

  • Snapshot Execution: For Pro users, the new release enabled running snapshots of dynamic pipelines from the server with support for specifying pipeline parameters. PR #4253

Improved
  • Enhanced step.map(...) and step.product(...) to return a single future object instead of a list of futures, simplifying the API for step invocations. PR #4261

  • Improved placeholder run handling to prevent potential issues in dynamic pipeline execution. PR #4261

  • Added better typing for Docker build options with a new class to help with conversions between SDK and CLI. PR #4262

GCP Image Builder Regional Support

Added regional location support to the GCP Image Builder, allowing you to specify Cloud Build regions for improved performance and compliance:

  • Optional location parameter for specifying Cloud Build region

  • Uses regional Cloud Build endpoint ({location}-cloudbuild.googleapis.com) when location is set

  • Maintains backward compatibility with global endpoint as default

  • Includes input validation for location parameter

PR #4268

Integration Updates

  • Evidently Integration: Updated to version >=0.5.0 to support NumPy 2.0, resolving compatibility issues when installing packages requiring NumPy 2.0+ alongside ZenML. PR #4243

View full release on GitHub


0.91.2 (2025-11-19)

See what's new and improved in version 0.91.2.

ZenML 0.91.2

Kubernetes Deployer

  • Deploy your pipelines directly on Kubernetes

  • Full integration with Kubernetes orchestrator

Learn more | PR #4127

MLflow 3.0 Support

  • Added support for the latest MLflow version

  • Improved compatibility with modern MLflow features

PR #4160

S3 Artifact Store Fixes

  • Fixed compatibility with custom S3 backends

  • Improved SSL certificate handling for RestZenStore

  • Enhanced Weights & Biases experiment tracker reliability

UI Updates

  • Remove Video Modal (#943)

  • Update Dependencies (CVE) (#945)

  • Adjust text-color (#947)

  • Sanitize Dockerfile (#948)

Fixed
  • S3 artifact store now works with custom backends (#4186)

  • SSL certificate passing for RestZenStore (#4188)

  • Weights & Biases tag length limitations (#4189)

View full release on GitHub


0.91.1 (2025-11-11)

See what's new and improved in version 0.91.1.

ZenML 0.91.1

Hugging Face Deployer

  • Deploy pipelines directly to Hugging Face Spaces

  • Seamless integration with Hugging Face infrastructure

Learn more | PR #4119

Dynamic Pipelines (Experimental)

  • Introduced v1 of dynamic pipelines

  • Early feedback welcome for this experimental feature

Read the documentation | PR #4074

Kubernetes Orchestrator Enhancements

  • Container security context configuration

  • Skip owner references option

  • Improved deployment reliability

UI Updates

  • Display Deployment in Run Detail (#919)

  • Announcements Widget (#926)

  • Add Resize Observer to HTML Viz (#928)

  • Adjust Overview Pipelines (#914)

  • Fix Panel background (#882)

  • Input Styling (#911)

  • Display Schedules (#879)

Improved
  • Enhanced Kubernetes orchestrator with container security context options (#4142)

  • Better handling of owner references in Kubernetes deployments (#4146)

  • Expanded HashiCorp Vault secret store authentication methods (#4110)

  • Support for newer Databricks versions (#4144)

Fixed
  • Port reuse for local deployments

  • Parallel deployment invocations

  • Keyboard interrupt handling during monitoring

  • Case-sensitivity issues when updating entity names (#4140)

View full release on GitHub


0.91.0 (2025-10-25)

See what's new and improved in version 0.91.0.

ZenML 0.91.0

Local Deployer

  • Deploy pipelines locally with full control

  • Perfect for development and testing workflows

Learn more | PR #4085

Advanced Caching System

  • File and object-based cache invalidation

  • Cache expiration for bounded lifetime

  • Custom cache functions for advanced logic

Read the documentation | PR #4040

Deployment Visualizations

  • Attach custom visualizations to deployments

  • Fully customizable deployment server settings

  • Enhanced deployment management

PR #4016 | PR #4064

Python 3.13 Support

  • Full compatibility with Python 3.13

  • MLX array materializer for Apple Silicon

PR #4053 | PR #4027

UI Updates

  • Deployment Playground: Easier to invoke and test deployments (#861)

  • Global Lists: Centralized access for deployments (#851) and snapshots (#854)

  • Create Snapshots: Create snapshots directly from the UI (#856)

  • GitHub-Flavored Markdown support (#876)

  • Resizable Panels (#873)

Improved
  • Customizable image tags for Docker builds (#4025)

  • Enhanced deployment server configuration (#4064)

  • Better integration with MLX arrays (#4027)

Fixed
  • Print capturing incompatibility with numba (#4060)

  • Hashicorp Vault secrets store mount point configuration (#4088)

Breaking Changes

  • Dropped Python 3.9 support - upgrade to Python 3.10+ (#4053)

View full release on GitHub


0.90.0 (2025-10-02)

See what's new and improved in version 0.90.0.

ZenML 0.90.0

Pipeline Snapshots & Deployments

  • Capture immutable snapshots of pipeline code and configuration

  • Deploy pipelines as HTTP endpoints for online inference

  • Docker, AWS, and GCP deployer implementations

Learn more about Snapshots | Learn more about Deployments

PR #3856 | PR #3920

Runtime Environment Variables

  • Configure environment variables when running pipelines

  • Support for ZenML secrets in runtime configuration

PR #3336

Dependency Management Improvements

  • Reduced base package dependencies

  • Local database dependencies moved to zenml[local] extra

  • JAX array materializer support

PR #3916 | PR #3712

UI Updates

  • Pipeline Snapshots & Deployments: Track entities introduced in ZenML 0.90.0 (#814)

Improved
  • Slimmer base package for faster installations (#3916)

  • Better dependency management

  • Enhanced JAX integration (#3712)

Breaking Changes

  • Client-Server compatibility: Must upgrade both simultaneously

  • Run templates need to be recreated

  • Base package no longer includes local database dependencies - install zenml[local] if needed (#3916)

View full release on GitHub


0.85.0 (2025-09-12)

See what's new and improved in version 0.85.0.

ZenML 0.85.0

Pipeline Execution Modes

  • Flexible failure handling configuration

  • Control what happens when steps fail

  • Better pipeline resilience

Read the documentation | PR #3874

Value-Based Caching

  • Cache artifacts based on content/value, not just ID

  • More intelligent cache reuse

  • Cache policies for granular control

PR #3900

Airflow 3.0 Support

  • Full compatibility with Apache Airflow 3.0

  • Access to latest Airflow features and improvements

PR #3922

UI Updates

  • Timeline View: New way to visualize pipeline runs alongside the DAG (#799)

  • Client-Side Structured Logs (#801)

  • Default Value for Arrays (#798)

Improved
  • Enhanced caching system with value-based caching (#3900)

  • More granular cache policy control

  • Better pipeline execution control (#3874)

Breaking Changes

  • Local orchestrator now continues execution after step failures

  • Docker package installer default switched from pip to uv (#3935)

  • Log endpoint format changed (#3845)

View full release on GitHub


0.84.3 (2025-08-27)

See what's new and improved in version 0.84.3.

ZenML 0.84.3

ZenML Pro Service Account Authentication

  • CLI login support via zenml login --api-key

  • Service account API keys for programmatic access

  • Organization-level access for automated workflows

PR #3895 | PR #3908

ZenML Pro Service Account Authentication

  • CLI login support via zenml login --api-key

  • Service account API keys for programmatic access

  • Organization-level access for automated workflows

PR #3895 | PR #3908

Improved
  • Enhanced Kubernetes resource name sanitization (#3887)

  • Relaxed Click dependency version constraints (#3905)

View full release on GitHub


0.84.2 (2025-08-06)

See what's new and improved in version 0.84.2.

ZenML 0.84.2

Kubernetes Orchestrator Improvements

  • Complete rework using Jobs instead of raw pods

  • Better robustness and automatic restarts

  • Significantly faster pipeline compilation

PR #3869 | PR #3873

Kubernetes Orchestrator Improvements

  • Complete rework using Jobs instead of raw pods

  • Better robustness and automatic restarts

  • Significantly faster pipeline compilation

PR #3869 | PR #3873

Improved
  • Enhanced Kubernetes orchestrator robustness (#3869)

  • Faster pipeline compilation for large pipelines (#3873)

  • Better logging performance (#3872)

View full release on GitHub


0.84.1 (2025-07-30)

See what's new and improved in version 0.84.1.

ZenML 0.84.1

Step Exception Handling

  • Improved collection of exception information

  • Better debugging capabilities

PR #3838

External Service Accounts

  • Added support for external service accounts

  • Improved flexibility

PR #3793

Kubernetes Orchestrator Enhancements

  • Schedule management capabilities

  • Better error handling

  • Enhanced pod monitoring

PR #3847

Dynamic Fan-out/Fan-in

  • Support for dynamic patterns with run templates

  • More flexible pipeline architectures

PR #3826

Step Exception Handling

  • Improved collection of exception information

  • Better debugging capabilities

PR #3838

External Service Accounts

  • Added support for external service accounts

  • Improved flexibility

PR #3793

Kubernetes Orchestrator Enhancements

  • Schedule management capabilities

  • Better error handling

  • Enhanced pod monitoring

PR #3847

Dynamic Fan-out/Fan-in

  • Support for dynamic patterns with run templates

  • More flexible pipeline architectures

PR #3826

Fixed
  • Vertex step operator credential refresh (#3853)

  • Logging race conditions (#3855)

  • Kubernetes secret cleanup when orchestrator pods fail (#3846)

View full release on GitHub


0.84.0 (2025-07-11)

See what's new and improved in version 0.84.0.

ZenML 0.84.0

Early Pipeline Stopping

  • Stop pipelines early with Kubernetes orchestrator

  • Better resource management

PR #3716

Step Retries

  • Configurable step retry mechanisms

  • Improved pipeline resilience

PR #3789

Step Status Refresh

  • Real-time status monitoring

  • Enhanced step status refresh capabilities

PR #3735

Performance Improvements

  • Thread-safe RestZenStore operations

  • Server-side processing improvements

  • Enhanced pipeline/step run fetching

PR #3758 | PR #3762 | PR #3776

UI Updates

  • Refactor Onboarding (#772) & Survey (#770)

  • Stop Runs directly from UI (#755)

  • Step Refresh (#773)

  • Support multiple log origins (#769)

Improved
  • New ZenML login experience (#3790)

  • Enhanced Kubernetes orchestrator pod caching (#3719)

  • Easier step operator/experiment tracker configuration (#3774)

  • Orchestrator pod logs access (#3778)

Fixed
  • Fixed model version fetching by UUID (#3777)

  • Visualization handling improvements (#3769)

  • Fixed data artifact fetching (#3811)

  • Path and Docker tag sanitization (#3816 | #3820)

Breaking Changes

  • Kubernetes Orchestrator Compatibility: Client and orchestrator pod versions must match exactly

View full release on GitHub


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