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SPECIFICTION
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JFrog ML vs ZenML

JFrog ML

jfrog.com

ZenML

zenml.io

Side by side

FigureJFrog MLZenML
Price from—$999/mo
Free plan—Yes
Free trialYes—
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published03
Spec score · Model Registry Software7.9 (#7)7.8 (#10)
Spec score · Model registries7.8 (#16)8.4 (#9)
DeploymentModels can be served as API endpoints, used for batch inference, and A/B tested.ZenML supports local, SaaS, and self-hosted deployment, including Docker and Kubernetes Helm deployment methods.
HeadquartersSunnyvale, California, and Netanya, IsraelMunich, Germany
IntegrationsJFrog's integration catalog includes Hugging Face, NVIDIA, Amazon SageMaker, and Azure Machine Learning integrations.The integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines.
PurposeJFrog ML is a unified platform for building, deploying, and monitoring machine learning models in production.ZenML orchestrates AI and machine-learning pipelines and agents written in Python.

Plans

JFrog ML

No plans published.

JFrog ML pricing →

ZenML

  • Open SourceFree
  • Scale$999 a month
  • EnterprisePriced on request

ZenML pricing →

In their own words

JFrog ML

JFrog ML has no write-up on Specifiction yet; its figures are above.

Visit jfrog.com

ZenML

ZenML orchestrates AI and machine-learning pipelines and agents written in Python. Pipelines can run on Kubernetes, Vertex AI, SageMaker, AzureML, or a laptop without rewriting code. ZenML versions step outputs such as models and evaluation datasets, supports re-execution from any step, and reuses cached results when code and inputs have not changed. Deployment choices include local, SaaS, and self-hosted setups, with Docker and Kubernetes Helm methods. ZenML says it stores metadata while data, artifacts, and compute remain in the customer's infrastructure or VPC. Its integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines. The self-hosted Open Source plan is free and includes unlimited executions and projects. Scale costs $999 a month and includes 2,000 executions, three projects, and five snapshots. Enterprise has custom pricing and adds SSO, custom-role RBAC, audit logs, and air-gapped deployment. ZenML says it is SOC 2 Type II and ISO 27001 certified.

Visit zenml.io