ZenML
UnclaimedThe unified AI platform to standardize and accelerate your ML and GenAI workflows from pipelines to agents.
Visit WebsiteTL;DR - ZenML
- Unifies ML and GenAI workflows into a single, orchestratable DAG.
- Automates versioning, caching, and containerization for reproducibility and efficiency.
- Provides infrastructure abstraction and governance for production-grade AI deployments.
Pricing: Free plan available
Best for: Growing teams
Pricing Plans
Community Edition
Free
- Complete pipeline orchestration
- Model versioning & artifact tracking
- 50+ integrations (AWS, GCP, Azure, K8s)
- Community support via Slack & GitHub
- Self-hosted deployment
- No usage limits or restrictions
- Unlimited Workspaces
- 1 Project
- Basic Authentication
- OSS Apache 2.0 Compliance
ZenML Pro
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- Everything in Open Source
- Fully managed infrastructure
- Multi-tenant workspaces and projects
- Role-based access control (RBAC)
- Single Sign-On (SSO) integration
- SOC2 & ISO 27001 compliance
- Unlimited Workspaces
- Unlimited Projects
- Terraform provider for Workspaces, Teams, and Users
- Granular user and team-wide permissions
- Run pipelines directly via API or through the dashboard
- Cloud, On-prem, Self hosted (BYOC) deployment options
- SSO with SAML/OIDC
- Service Accounts
- SOC2 & ISO 27001 compliance
- Managed, multi-tenant deployment with database backups, security, compliance, rollbacks, upgrades etc
- Dedicated manager
- Custom Onboarding
About ZenML
ZenML is an open-source MLOps framework designed to help teams build, deploy, and manage production-ready machine learning and generative AI workflows. It provides a unified platform to orchestrate complex DAGs, manage state, and handle data passing for both traditional ML models and advanced LLM agents. By abstracting infrastructure and automating critical MLOps tasks, ZenML aims to bridge the gap between data scientists and engineers, enabling faster iteration and deployment.
The platform is built to standardize AI workflows, offering features like artifact and environment versioning, smart caching, and automatic containerization to ensure reproducibility and reduce engineering overhead. It integrates with over 60 tools across the AI ecosystem, allowing users to connect their data retrieval, reasoning, and training steps into a cohesive system. ZenML is suitable for teams looking to move beyond prototype-level AI projects to scalable, governed, and secure production deployments, offering both an open-source foundation and enterprise control options.
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ZenML FAQ
ZenML is an open-source MLOps framework that provides a unified platform for building, deploying, and managing end-to-end machine learning and generative AI workflows. It helps standardize AI development, automate MLOps tasks, and ensure reproducibility from local experiments to production deployments.
ZenML offers a free, powerful open-source foundation. It also mentions an option to 'Upgrade to managed Pro features,' indicating a freemium model with paid tiers for additional capabilities or managed services, though specific pricing for these 'Pro features' is not detailed on the provided pages.
Yes, ZenML has a free and powerful open-source foundation built on Apache 2.0. There are also mentions of 'managed Pro features' which suggest paid options for enterprise-grade control and additional capabilities.
ZenML is for data scientists, ML engineers, and AI teams in companies of all sizes, from startups to large enterprises. It's particularly beneficial for teams struggling with fragmented ML stacks, reproducibility issues, slow deployment times, and the challenges of moving ML and GenAI prototypes into production with proper governance and scalability.