JFrog ML vs Deeploy

JFrog ML7.1Visit Deeploy6.5Visit

Higher score JFrog ML #5 in Model Registry Software 7.1/10 Pricing on request ✓ 4 of 6 features Visit JFrog ML

vs

Deeploy #8 in Model Registry Software 6.5/10 Pricing on request ✓ 5 of 6 features Visit Deeploy

• JFrog ML fits best

  Teams prioritizing secure model supply chains

• Deeploy fits best

  Governed enterprise model operations

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Side by side

Feature	JFrog ML 7.1/10 Visit ↗	Deeploy 6.5/10 Visit ↗
At a glance
Editor score	7.1	6.5
Ranking	#5 in Model Registry Software	#8 in Model Registry Software
Best for	Teams prioritizing secure model supply chains	Governed enterprise model operations
Pricing model	Paid	Paid
Starting price	Not published	Not published
Free plan	—	—
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Web
Support	Docs	Email, Live chat, Docs
Integrations	4 integrations	9 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features JFrog ML 4/6 · Deeploy 5/6
Model versioning	✓	✓
Approval workflows	Not published	✓ (best)
Model lineage	✓	✓
Deployment tracking	✓	✓
Model aliases	Not published	Not published
Artifact storage	✓	✓
Our review
Pros	Immutable model and artifact versioning through JFrog Artifactory Canary, A/B, and shadow deployment strategies Security scanning with JFrog Xray and approval governance	Central registry with versioning, lineage, approvals, and audit trails Risk classification, compliance controls, explainability, and output guardrails Integrations across MLflow, cloud ML platforms, and collaboration tools
Cons	No free plan Pricing requires contact with sales Broader MLOps scope may exceed registry-only needs	No free plan is available Pricing combines platform and seat fees and requires a demo Core is SaaS-only and does not include SSO or user management
Our verdict	JFrog ML is an MLOps platform for data scientists, ML engineers, AI developers, and DevOps teams. Its centralized model registry supports the path from research to production, with model building, training, testing, packaging, deployment,… Read the review →	Deeploy is an AI governance platform for organizations managing machine learning, generative AI, and agentic systems. Its central AI and model registry brings together model and artifact versioning, deployment tracking, monitoring,… Read the review →

Strengths and trade-offs

• JFrog ML — where it wins

  • Immutable model and artifact versioning through JFrog Artifactory
  • Canary, A/B, and shadow deployment strategies
  • Security scanning with JFrog Xray and approval governance

  Where it doesn't

  • No free plan
  • Pricing requires contact with sales
  • Broader MLOps scope may exceed registry-only needs

• Deeploy — where it wins

  • Central registry with versioning, lineage, approvals, and audit trails
  • Risk classification, compliance controls, explainability, and output guardrails
  • Integrations across MLflow, cloud ML platforms, and collaboration tools

  Where it doesn't

  • No free plan is available
  • Pricing combines platform and seat fees and requires a demo
  • Core is SaaS-only and does not include SSO or user management

• JFrog ML7.1/10 · Pricing on request

  A centralized registry for teams that need governed, versioned model delivery.

  Visit JFrog MLFull verdict →
• Deeploy6.5/10 · Pricing on request

  A governed model registry for teams managing AI systems across their lifecycle.

  Visit DeeployFull verdict →