ZenML

aid: zenml
name: ZenML
description: >-
  ZenML is an open-source MLOps and LLMOps framework that unifies machine learning and generative AI workflows through a
  single orchestration, versioning, and governance layer. It provides a Python SDK, CLI, REST API, and server for
  managing pipelines, stacks, artifacts, models, and deployments across any infrastructure backend, with 60+
  integrations spanning orchestrators, ML frameworks, GenAI tools, cloud storage, and experiment tracking platforms.
type: Index
position: Consumer
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
  - AI
  - Machine Learning
  - MLOps
  - LLMOps
  - Pipelines
  - Open Source
  - Python
created: '2025-02-08'
modified: '2026-05-19'
url: https://raw.githubusercontent.com/api-evangelist/zenml/refs/heads/main/apis.yml
specificationVersion: '0.19'
apis:
  - aid: zenml:zenml-oss-api
    name: ZenML OSS REST API
    description: >-
      The ZenML open-source REST API exposes endpoints for managing ML pipelines, stacks, components, artifacts, models,
      deployments, runs, schedules, secrets, users, and projects in a self-hosted ZenML server. It is consumed by the
      Python SDK and CLI and can be called directly for automation and integration with CI/CD systems and MLOps
      workflows.
    humanURL: https://docs.zenml.io/api-reference/oss-api
    tags:
      - MLOps
      - Pipelines
      - Open Source
    properties:
      - type: Documentation
        url: https://docs.zenml.io/api-reference/oss-api
      - type: APIReference
        url: https://docs.zenml.io/api-reference/oss-api
      - type: OpenAPI
        url: openapi/zenml-openapi.yml
      - type: GettingStarted
        url: https://docs.zenml.io/getting-started/installation
      - type: Authentication
        url: https://docs.zenml.io/getting-started/deploying-zenml
      - type: SDK
        url: https://docs.zenml.io/sdk-reference
      - type: GitHubRepository
        url: https://github.com/zenml-io/zenml
      - type: JSONSchema
        url: json-schema/zenml-pipeline-schema.json
      - type: JSONSchema
        url: json-schema/zenml-pipeline-run-schema.json
      - type: JSONSchema
        url: json-schema/zenml-stack-schema.json
      - type: JSONSchema
        url: json-schema/zenml-model-schema.json
      - type: JSONSchema
        url: json-schema/zenml-artifact-schema.json
      - type: CodeExamples
        url: examples/zenml-list-pipelines-example.json
      - type: CodeExamples
        url: examples/zenml-get-pipeline-run-example.json
      - type: CodeExamples
        url: examples/zenml-create-stack-example.json
  - aid: zenml:zenml-pro-api
    name: ZenML Pro REST API
    description: >-
      The ZenML Pro REST API extends the OSS API with managed control-plane features for teams, including organization
      and tenant management, role-based access control, audit logs, and enterprise governance.
    humanURL: https://docs.zenml.io/api-reference/pro-api
    tags:
      - MLOps
      - Enterprise
      - Governance
    properties:
      - type: Documentation
        url: https://docs.zenml.io/api-reference/pro-api
      - type: APIReference
        url: https://docs.zenml.io/api-reference/pro-api
      - type: Authentication
        url: https://docs.zenml.io/pro/core-concepts/access-control
common:
  - type: PostmanWorkspace
    url: https://www.postman.com/kinlaneapi/zenml/overview
  - type: ArazzoWorkflows
    url: arazzo/
    workflows:
      - url: arazzo/zenml-audit-pipeline-runs-workflow.yml
        name: ZenML Audit Pipeline Runs
        summary: Walk from a named pipeline to its run history and drill into the most recent run.
      - url: arazzo/zenml-authenticate-and-list-pipelines-workflow.yml
        name: ZenML Authenticate and List Pipelines
        summary: Exchange credentials for a token, confirm the session identity, and list pipelines.
      - url: arazzo/zenml-bootstrap-project-pipeline-workflow.yml
        name: ZenML Bootstrap Project Pipeline
        summary: Identify the caller, resolve a project workspace, register a pipeline, and confirm it.
      - url: arazzo/zenml-inspect-run-artifacts-workflow.yml
        name: ZenML Inspect Run Artifacts
        summary: Select a pipeline run, confirm it succeeded, and inspect an artifact produced in the deployment.
      - url: arazzo/zenml-inspect-stack-topology-workflow.yml
        name: ZenML Inspect Stack Topology
        summary: Pick a stack, read its component wiring, and cross-reference the component catalog.
      - url: arazzo/zenml-monitor-pipeline-run-workflow.yml
        name: ZenML Monitor Pipeline Run
        summary: Find the latest run of a pipeline, poll its status to completion, and branch on success or failure.
      - url: arazzo/zenml-provision-pipeline-workflow.yml
        name: ZenML Provision Pipeline
        summary: Resolve a project, register a new pipeline in it, and confirm the pipeline was created.
      - url: arazzo/zenml-provision-secret-workflow.yml
        name: ZenML Provision Secret
        summary: Confirm the caller identity, create a scoped secret, and confirm it appears in the secret store.
      - url: arazzo/zenml-register-model-workflow.yml
        name: ZenML Register Model
        summary: Register a new model in the model control plane and enumerate its versions.
      - url: arazzo/zenml-register-stack-workflow.yml
        name: ZenML Register Stack
        summary: Discover available stack components, assemble them into a new stack, and confirm the stack was created.
      - url: arazzo/zenml-trace-deployment-runs-workflow.yml
        name: ZenML Trace Deployment Runs
        summary: Select a pipeline deployment, resolve its pipeline, and read the latest run it produced.
      - url: arazzo/zenml-track-scheduled-pipeline-workflow.yml
        name: ZenML Track Scheduled Pipeline
        summary: Resolve a schedule, find the run it produced for its pipeline, and read that run.
  - type: LinkedIn
    url: https://www.linkedin.com/company/zenml
  - url: https://www.zenml.io/
    name: ZenML - The AI Control Plane
    type: Portal
  - url: https://docs.zenml.io/
    name: ZenML Documentation
    type: Documentation
  - url: https://docs.zenml.io/getting-started/installation
    name: Get Started with ZenML
    type: GettingStarted
  - url: https://docs.zenml.io/changelog/server-sdk
    name: ZenML Server & SDK Changelog
    type: ChangeLog
  - url: https://github.com/zenml-io/zenml
    name: ZenML GitHub Repository
    type: GitHubRepository
  - url: https://github.com/zenml-io
    name: ZenML GitHub Organization
    type: GitHubOrganization
  - url: https://www.zenml.io/pro
    name: ZenML Pro - Managed MLOps
    type: Pricing
  - url: https://www.zenml.io/integrations
    name: ZenML Integrations
    type: Integrations
  - url: https://www.zenml.io/blog
    name: ZenML Blog
    type: Blog
  - url: https://status.zenml.io/
    name: ZenML Status Page
    type: StatusPage
  - url: https://www.zenml.io/careers
    name: ZenML Careers
    type: Resources
  - url: https://www.zenml.io/terms-of-service
    name: ZenML Terms of Service
    type: TermsOfService
  - url: https://www.zenml.io/privacy-policy
    name: ZenML Privacy Policy
    type: PrivacyPolicy
  - url: https://pypi.org/project/zenml/
    name: ZenML on PyPI
    type: SDK
  - url: https://docs.zenml.io/sdk-reference
    name: ZenML Python SDK Reference
    type: SDK
  - url: https://github.com/zenml-io/zenml/releases
    name: ZenML Releases
    type: ReleaseNotes
  - url: json-ld/zenml-context.jsonld
    name: ZenML JSON-LD Context
    type: JSONLD
  - url: vocabulary/zenml-vocabulary.yml
    name: ZenML Vocabulary
    type: Resources
  - url: rules/zenml-rules.yml
    name: ZenML Spectral Rules
    type: Resources
  - url: capabilities/pipeline-lifecycle.yaml
    name: ZenML Pipeline Lifecycle Capability
    type: Resources
  - url: capabilities/model-promotion.yaml
    name: ZenML Model Promotion Capability
    type: Resources
  - name: MCP Server
    url: https://github.com/zenml-io/mcp-zenml
    type: MCPServer
  - name: Agent Skills
    url: https://www.zenml.io/blog/introducing-zenml-agent-skills-let-ai-upgrade-your-mlops-setup-in-minutes
    type: AgentSkill
  - type: LLMsTxt
    url: https://docs.zenml.io/llms.txt
integrations:
  - name: Amazon S3 Artifact Store
  - name: Apache Airflow Orchestrator
  - name: Argilla Data Annotator
  - name: AutoGen Agents
  - name: AWS Cloud Infrastructure
  - name: AWS Strands Agents
  - name: Azure Blob Storage Artifact Store
  - name: Azure Container Registry Container Registry
  - name: AzureML Pipelines Orchestrator
  - name: BentoML Deployer
  - name: Comet Experiment Tracker
  - name: CrewAI Agents
  - name: Databricks Orchestrator
  - name: Databricks Deployment Deployer
  - name: Deepchecks Data Validator
  - name: Discord Alerter
  - name: Docker Orchestrator
  - name: Elastic Container Registry Container Registry
  - name: Evidently Data Validator
  - name: Facets Data Visualization
  - name: Feast Feature Store
  - name: Github Actions Orchestrator
  - name: GitHub Container Registry Container Registry
  - name: Google ADK Agent Agents
  - name: Google Artifact Registry Container Registry
  - name: Google Cloud Cloud Infrastructure
  - name: Google Cloud Storage (GCS) Artifact Store
  - name: Google Cloud Vertex AI Pipelines Orchestrator
  - name: Great Expectations Data Validator
  - name: Haystack Agents
  - name: Hugging Face Modeling
  - name: Hugging Face (Inference Endpoints) Deployer
  - name: HyperAI Orchestrator
  - name: Kaniko Image Builder
  - name: Kubeflow Orchestrator
  - name: Kubernetes Orchestrator
  - name: Label Studio Data Annotator
  - name: LangChain Agents
  - name: LangGraph Agents
  - name: LightGBM Modeling
  - name: Lightning AI Orchestrator
  - name: LlamaIndex Agents
  - name: Microsoft Azure Cloud Infrastructure
  - name: MLflow Experiment Tracker
  - name: Modal Orchestrator
  - name: Neptune Experiment Tracker
  - name: NeuralProphet Modeling
  - name: OpenAI Agents SDK Agents
  - name: Pigeon Data Annotator
  - name: Pillow Modeling
  - name: Prodigy Data Annotator
  - name: PydanticAI Agents
  - name: PyTorch Modeling
  - name: PyTorch Lightning Modeling
  - name: Sagemaker Pipelines Orchestrator
  - name: Seldon Deployer
  - name: Semantic Kernel Agents
  - name: Skypilot VM Orchestrator
  - name: Slack Alerter
  - name: Tekton Orchestrator
  - name: TensorBoard Experiment Tracker
  - name: TensorFlow Modeling
  - name: Weights & Biases Experiment Tracker
  - name: WhyLabs whylogs Data Validator
  - name: XGBoost Modeling
maintainers:
  - FN: Kin Lane
    email: kin@apievangelist.com