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https://github.com/zenml-io/zenml/tree/main/examples zenml/examples at main · zenml-io/zenml · GitHub ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. - zenml/examples at main · zenml-io/zenml zenml examples main io github https://github.com/zenml-io/zenml GitHub - zenml-io/zenml: ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. ·... ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. - zenml-io/zenml one ai platform github zenml io pipelines https://www.zenml.io/features/shared-ml-building-blocks ZenML Features - Shared ML building blocks Team-wide templates for steps and pipelines. Collective expertise, accelerated development. ml building zenml features shared blocks https://www.zenml.io/features/iterate-at-warp-speed ZenML Features - Iterate at warp speed Local to cloud seamlessly. Jupyter to production pipelines in minutes. Smart caching accelerates iterations everywhere. Rapidly experiment with ML and GenAI... zenml features iterate warp speed https://www.zenml.io/pro Managed MLOps for your Cloud - ZenML Pro Supercharge your MLOps with a fully-managed control plane. Forget the infrastructure setup and security concerns. Get a single pane of glass view into your... managed mlops cloud zenml pro https://www.zenml.io/compare/zenml-vs-aws-sagemaker ZenML vs AWS Sagemaker - ZenML vs AWS SageMaker: Supercharge Your ML Workflows Vendor-neutral ML orchestration. Build, train, and deploy models across environments with flexible workflows and no cloud lock-in. zenml vs aws sagemaker supercharge workflows https://www.zenml.io/integrations/aws Integrate AWS with ZenML - Cloud Infrastructure Integrations Effortlessly orchestrate your ML pipelines on AWS with ZenML cloud infrastructure integrate aws zenml integrations https://www.zenml.io/mlops-database MLOps Database - ZenML Explore 186 real-world MLOps case studies, platforms, and production machine learning implementations. Filter by topic, industry, content type, and more. mlops database zenml https://www.zenml.io/integrations/tensorflow Integrate TensorFlow with ZenML - Modeling Integrations Accelerate TensorFlow Model Development with ZenML integrate tensorflow zenml modeling integrations https://www.zenml.io/privacy-policy Privacy Policy — ZenML ZenML GmbH privacy policy. Learn how we collect, use, and protect your personal information. privacy policy zenml https://docs.zenml.io/stacks/stack-components/alerters Alerters | Stacks | ZenML - Bridging the gap between ML & Ops Sending automated alerts to chat services. stacks zenml bridging gap ops https://www.zenml.io/compare/zenml-vs-label-studio ZenML vs Label Studio - Streamline Your ML Workflow with ZenML: From Data Annotation to Deployment Label Studio complement: End-to-end ML orchestration with annotation integration. Streamline pipelines from data prep to deployment with versioning. zenml vs label studio data annotation streamline workflow https://www.zenml.io/integrations/azureml-pipelines Integrate AzureML Pipelines with ZenML - Orchestrator Integrations Effortlessly Orchestrate Your ZenML Pipelines with the Power of AzureML zenml orchestrator integrate pipelines integrations https://docs.zenml.io/stacks/stack-components/orchestrators Orchestrators | Stacks | ZenML - Bridging the gap between ML & Ops Orchestrating the execution of ML pipelines. stacks zenml bridging gap ops https://www.zenml.io/integrations/modal Integrate Modal with ZenML - Orchestrator Integrations The Modal step operator is a lightweight alternative to other distributed orchestrators like Airflow or Kubeflow that gives our users the ability to run... zenml orchestrator integrate modal integrations https://www.zenml.io/integrations/gcp-vertexai Integrate Google Cloud Vertex AI Pipelines with ZenML - Orchestrator Integrations Streamline your MLOps workflows on GCP with ZenML and Vertex AI Pipelines google cloud vertex ai pipelines zenml orchestrator integrate integrations https://www.zenml.io/integrations/openai-agents-sdk Integrate OpenAI Agents SDK with ZenML - Agents Integrations OpenAI Agents SDK integrated with ZenML integrate openai agents sdk zenml integrations https://www.zenml.io/features ZenML - MLOps Framework Features Revolutionize ML workflows with ZenML's MLOps Framework: End manual deployments and non-reproducible experiments for production-ready solutions. zenml mlops framework features https://www.zenml.io/case-study/adeo-leroy-merlin How ADEO Leroy Merlin is Scaling Data Science with ZenML - Case Study How ADEO Leroy Merlin Leverages Machine Learning Pipelines for Enhanced Productivity leroy merlin scaling data science zenml case https://www.zenml.io/vs/zenml-vs-e2e-platforms ZenML vs Cloud Platforms ZenML vs AWS Sagemaker, GCP Vertex AI, Azure ML, ClearML and more. Understand how ZenML stands apart from traditional e2e platforms zenml vs cloud platforms https://www.zenml.io/integrations/xgboost Integrate XGBoost with ZenML - Modeling Integrations Supercharge your ML pipelines with XGBoost and ZenML integrate xgboost zenml modeling integrations https://www.zenml.io/case-study/brevo Brevo (formerly Sendinblue) and ZenML: Redefining Machine Learning in Email Marketing Brevo, formerly known as Sendinblue, is at the forefront of utilizing machine learning to enhance its email marketing services and streamline operations. machine learning brevo formerly sendinblue zenml https://www.zenml.io/integrations/prodigy Integrate Prodigy with ZenML - Data Annotator Integrations Streamline Data Annotation with Prodigy and ZenML integrate prodigy zenml data annotator https://dxt.services/mcp/mcp-zenml/ MCP Server for ZenML - DXT Services Bridges ZenML MLOps pipelines with MCP clients, exposing real‑time pipeline metadata, artifacts, logs and execution controls through the Model Context Protocol. mcp server zenml dxt services https://www.zenml.io/blog Blog - ZenML Insights on MLOps, LLMOps, and production machine learning from the ZenML team. blog zenml https://www.zenml.io/case-studies ZenML Case Studies - Real Teams, Real AI Workflows See how teams are using ZenML to unify their AI platforms—from batch evaluations to real-time serving, traditional ML to GenAI workflows. case studies real teams ai zenml workflows https://www.zenml.io/vs/zenml-vs-experiment-trackers ZenML vs Experiment Trackers zenml vs experiment trackers https://www.zenml.io/integrations/kaniko Integrate Kaniko with ZenML - Image Builder Integrations Build Container Images Effortlessly with Kaniko and ZenML integrate zenml image builder integrations https://www.zenml.io/features/backend-flexibility-zero-lock-in ZenML Features - Backend flexibility, zero lock-in Switch backends freely. Deploy classical ML or LLMs with equal ease. Adapt your LLMOps stack as needs evolve. zenml features backend flexibility zero https://docs.zenml.io/stacks/contribute/custom-stack-component Custom Stack Component | Stacks | ZenML - Bridging the gap between ML & Ops How to write a custom stack component flavor custom stack component zenml bridging https://www.zenml.io/integrations/pydanticai Integrate PydanticAI with ZenML - Agents Integrations PydanticAI type-safe agents integrated with ZenML integrate zenml agents integrations https://www.zenml.io/terms-of-service Terms of Service — ZenML ZenML GmbH terms of service. Read our terms and conditions for using the ZenML website and services. terms service zenml https://www.zenml.io/pricing Pricing - ZenML Ship ML pipelines with confidence. Predictable, transparent pricing that scales with value. pricing zenml https://docs.zenml.io/ Welcome to ZenML | ZenML - Bridging the gap between ML & Ops Discover resources to build, deploy, and scale your ML pipelines with ZenML. welcome zenml bridging gap ops https://www.zenml.io/integrations/azure-container-registry Integrate Azure Container Registry with ZenML - Container Registry Integrations Seamlessly Store and Manage Container Images with Azure Container Registry Integration in ZenML container registry integrate azure zenml integrations https://docs.zenml.io/stacks/popular-stacks/aws-guide AWS | Stacks | ZenML - Bridging the gap between ML & Ops A simple guide to create an AWS stack to run your ZenML pipelines aws stacks zenml bridging gap https://www.zenml.io/company Company - ZenML Meet the team behind ZenML. We're a young, dynamic team building the open-source MLOps framework trusted by ML engineers worldwide. company zenml https://www.zenml.io/integrations/kubeflow Integrate Kubeflow with ZenML - Orchestrator Integrations Orchestrate your ML pipelines on Kubeflow. Works on any infrastructure of your choice - local, on-premises, or in the cloud. zenml orchestrator integrate kubeflow integrations https://www.zenml.io/features/streamline-cloud-expenses ZenML Features - Streamline cloud expenses Clear view of resource usage across ML and LLM projects. Optimize spend on compute-intensive GenAI training and inference. zenml features streamline cloud expenses https://www.zenml.io/compare/zenml-vs-domino-data-lab ZenML vs Domino Data Lab - ZenML Domino Data Lab alternative: Open-source MLOps framework with portable pipelines and composable stack. Build production ML workflows with vendor-neutral... zenml vs domino data lab https://www.zenml.io/features/auto-track-everything ZenML Features - Auto-track everything Automatic logging of code, data, and LLM prompts. Version control for ML and GenAI workflows. Focus on innovation, not bookkeeping. zenml features auto track everything https://www.zenml.io/integrations Integrations - ZenML Explore the MLOps landscape with ZenML. Browse 60+ integrations for orchestrators, experiment trackers, artifact stores, and more. integrations zenml https://www.zenml.io/compare/zenml-vs-argo-workflows ZenML vs Argo Workflows - Stop Building MLOps on Top of a Workflow Engine ZenML is an open-source alternative to Argo Workflows for ML pipelines with built-in metadata, lineage, and reproducibility zenml vs argo workflows stop building mlops engine https://www.zenml.io/newsletter-signup Join the ZenML Newsletter: Exclusive MLOps Insights & Updates Subscribe to receive cutting-edge MLOps insights and the latest ZenML updates straight to your inbox. Stay ahead with exclusive content, news, and industry... join zenml newsletter exclusive mlops https://www.zenml.io/compare/zenml-vs-langfuse ZenML vs Langfuse - Langfuse for LLM observability. ZenML for shipping AI pipelines. ZenML is an open-source alternative layer to Langfuse: the former (ZenML) helps you orchestrate portable ML/LLM pipelines, while the latter (Langfuse) handles... zenml vs llm observability langfuse shipping ai https://www.zenml.io/whitepaper-architecting-an-enterprise-grade-mlops-platform Architecting an Enterprise-Grade MLOps Platform | ZenML Whitepaper Download our comprehensive guide to building enterprise MLOps platforms. Learn architecture patterns, best practices, and strategies for scaling ML... enterprise grade architecting mlops platform zenml https://www.zenml.io/compare/zenml-vs-metaflow ZenML vs Metaflow - Streamline Your ML Workflows Metaflow alternative: Flexible ML orchestration with comprehensive MLOps. Accelerate ML using adaptable architecture and seamless integrations. zenml vs streamline workflows https://status.zenml.io/ ZenML Public Services Status Welcome to ZenML Public Services's home for real-time and historical data on system performance. public services zenml status https://www.zenml.io/integrations/huggingface-inference-endpoints Integrate Hugging Face (Inference Endpoints) with ZenML - Deployer Integrations Effortlessly deploy Hugging Face models to production with ZenML hugging face integrate inference endpoints zenml https://www.zenml.io/integrations/haystack Integrate Haystack with ZenML - Agents Integrations Integrate your Haystack RAG pipelines with ZenML integrate haystack zenml agents integrations https://www.zenml.io/integrations/slack Integrate Slack with ZenML - Alerter Integrations Streamline ML Monitoring and Human-in-the-Loop Interactions with ZenML's Slack Integration integrate slack zenml alerter integrations https://www.zenml.io/compare/zenml-vs-prefect ZenML vs Prefect - Elevate Your ML Workflows with ZenML Prefect alternative: ML-centric pipeline orchestration. Streamline workflows with intuitive design, experiment tracking, and MLOps integrations. zenml vs prefect elevate workflows https://www.zenml.io/integrations/google-artifact-registry Integrate Google Artifact Registry with ZenML - Container Registry Integrations Leverage Google’s Container Registry in ZenML Pipelines with Google Artifact Registry Integration integrate google artifact registry zenml container integrations https://docs.zenml.io/user-guides/llmops-guide LLMOps guide | Learn | ZenML - Bridging the gap between ML & Ops Leverage the power of LLMs in your MLOps workflows with ZenML. guide learn llmops zenml bridging gap https://www.zenml.io/integrations/airflow Integrate Apache Airflow with ZenML - Orchestrator Integrations Streamline ML Workflows with Apache Airflow Orchestration in ZenML apache airflow zenml orchestrator integrate integrations https://www.zenml.io/integrations/github-container-registry Integrate GitHub Container Registry with ZenML - Container Registry Integrations Streamline Container Image Management with GitHub Container Registry and ZenML container registry integrate github zenml integrations https://www.zenml.io/blog/kitaru-launch Introducing Kitaru: Open Source Infrastructure For Asynchronous Agents - ZenML Blog Meet Kitaru — open source durable execution for Python agents, built by the ZenML team. Crash recovery, human-in-the-loop, and replay from any checkpoint. open source introducing infrastructure asynchronous agents https://www.zenml.io/integrations/github-actions Integrate Github Actions with ZenML - Orchestrator Integrations Run your ML workflows in the cloud for free using GitHub Actions. github actions zenml orchestrator integrate integrations https://docs.zenml.io/stacks/popular-stacks/gcp-guide GCP | Stacks | ZenML - Bridging the gap between ML & Ops A simple guide to quickly set up a minimal stack on GCP. gcp stacks zenml bridging gap https://www.zenml.io/integrations/huggingface Integrate Hugging Face with ZenML - Modeling Integrations Accelerate NLP and Computer Vision with Hugging Face Models in ZenML Pipelines hugging face integrate zenml modeling integrations https://www.zenml.io/integrations/langchain Integrate LangChain with ZenML - Agents Integrations LangChain agent chains integrated with ZenML integrate langchain zenml agents integrations https://www.zenml.io/compare Compare — ZenML and Kitaru vs. alternatives Side-by-side comparisons of ZenML (MLOps) and Kitaru (agent runtime) against other tools and platforms. compare zenml vs alternatives https://github.com/orgs/zenml-io/projects/1 ZenML Roadmap · GitHub GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. zenml roadmap github https://www.zenml.io/integrations/llamaindex Integrate LlamaIndex with ZenML - Agents Integrations LlamaIndex Function Agent integrated with ZenML integrate llamaindex zenml agents integrations https://www.zenml.io/compare/zenml-vs-dataiku ZenML vs Dataiku - ZenML Dataiku alternative: Open-source MLOps framework with portable Python pipelines and composable stack. Build production ML workflows with vendor-neutral... zenml vs dataiku https://www.zenml.io/integrations/great-expectations Integrate Great Expectations with ZenML - Data Validator Integrations Ensure Data Quality and Consistency in Your ML Pipelines with Great Expectations and ZenML integrate great expectations zenml data https://www.zenml.io/careers Careers - ZenML Join the ZenML team. We are quickly growing and looking for motivated team members to join and grow our open-source base. careers zenml https://www.zenml.io/integrations/google-adk-agent Integrate Google ADK Agent with ZenML - Agents Integrations Google Agent Development Kit integrated with ZenML integrate google adk agent zenml integrations https://docs.zenml.io/changelog Overview | Changelog | ZenML - Bridging the gap between ML & Ops Stay up to date with the latest features, improvements, and fixes across ZenML OSS and ZenML Pro. overview changelog zenml bridging gap https://docs.zenml.io/stacks/popular-stacks/kubernetes Kubernetes | Stacks | ZenML - Bridging the gap between ML & Ops Learn how to deploy ZenML pipelines on a Kubernetes cluster. kubernetes stacks zenml bridging gap https://www.zenml.io/case-study/jetbrains JetBrains and ZenML - Case Study Creating a Unified AI Platform: How JetBrains Centralizes ML on Kubernetes with ZenML jetbrains zenml case study https://www.zenml.io/compare/zenml-vs-kserve ZenML vs KServe - KServe Serves Models. ZenML Ships ML Systems. ZenML is the open-source alternative for end-to-end MLOps: train, evaluate, version, and ship models to KServe for scalable serving zenml vs serves models ships systems https://www.zenml.io/integrations/databricks Integrate Databricks with ZenML - Orchestrator Integrations Harness the Power of Databricks for Scalable ML Pipelines with ZenML zenml orchestrator integrate databricks integrations https://www.zenml.io/blog/how-i-rebuilt-zenml-io-in-a-week-with-claude-code How I Rebuilt zenml.io in a Week with Claude Code - ZenML Blog I rebuilt zenml.io — 2,224 pages, 20 CMS collections — from Webflow to Astro in a week using Claude Code and a multi-model AI workflow. Here's how. claude code rebuilt zenml io week https://www.zenml.io/compare/zenml-vs-apache-airflow ZenML vs Apache Airflow - ZenML vs Airflow: Effortlessly Expand Your ML Initiatives ML-optimized workflow management. Enhance scalability and usability with comprehensive features designed for ML pipeline orchestration. zenml vs apache airflow effortlessly expand initiatives https://www.zenml.io/compare/zenml-vs-dvc ZenML vs DVC - DVC versions your data. ZenML runs your pipelines anywhere. Open-source DVC alternative: ZenML orchestrates portable ML pipelines and lifecycle tooling beyond Git-based data/model versioning. zenml vs dvc versions data runs https://www.zenml.io/integrations/semantic-kernel Integrate Semantic Kernel with ZenML - Agents Integrations Microsoft Semantic Kernel integrated with ZenML integrate semantic kernel zenml agents https://www.zenml.io/integrations/pytorch Integrate PyTorch with ZenML - Modeling Integrations Accelerate your PyTorch model development with ZenML integrate pytorch zenml modeling integrations https://www.zenml.io/integrations/pigeon Integrate Pigeon with ZenML - Data Annotator Integrations Streamline Data Annotation in Jupyter Notebooks with Pigeon and ZenML integrate pigeon zenml data annotator https://www.zenml.io/integrations/evidently Integrate Evidently with ZenML - Data Validator Integrations Ensure data quality and guard against drift with Evidently profiling in ZenML integrate evidently zenml data validator https://www.zenml.io/integrations/argilla Integrate Argilla with ZenML - Data Annotator Integrations Streamline Data Annotation in ZenML Pipelines with Argilla integrate argilla zenml data annotator https://www.zenml.io/integrations/deepchecks Integrate Deepchecks with ZenML - Data Validator Integrations Automate robust data and model validation in your ML pipelines with Deepchecks and ZenML integrate zenml data validator integrations https://www.zenml.io/integrations/elastic-container-registry Integrate Elastic Container Registry with ZenML - Container Registry Integrations Streamline container image management with AWS ECR and ZenML container registry integrate elastic zenml integrations https://www.zenml.io/compare/zenml-vs-valohai ZenML vs Valohai - Open source MLOps stack Valohai alternative: Open-source MLOps framework with extensive integrations. Accelerate ML development using Python-based SDK, adaptable architecture, and... zenml vs open source mlops stack https://www.zenml.io/integrations/discord Integrate Discord with ZenML - Alerter Integrations Seamlessly Integrate Automated Alerts and Human Interaction into Your ML Pipelines with ZenML's Discord Integration integrate discord zenml alerter integrations