No. 24 of 33 ·Model Registry Software

JFrog ML

Web · Self-hosted · API

Freedom report

One barScore 5.0

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely1 of 6 device platforms
DocumentedPlans, terms and facts published

JFrog ML is ranked #24 of 33 in model registry software on Freedom251. It runs on API, Self-hosted, Web. There is no free plan. A free trial is offered.

Compared on model registry software

Free plan: No
Model versioning: Yes
Model lineage: Yes
Deployment tracking: Yes
Artifact storage: Yes

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The record

Purpose: JFrog ML is a unified platform for building, deploying, and monitoring machine learning models in production.
Lifecycle: The platform supports data preparation, model building and training, deployment, monitoring, and pipeline automation.
Model deployment: Models can be deployed as REST endpoints, batch transformation jobs, or streaming applications.
Production testing: JFrog ML supports gradual model deployment and A/B testing in production.
Observability: Its production observability features include performance metrics, model feature management, and inference analysis and queries.
Feature pipelines: JFrog ML supports batch, streaming, and real-time feature transformations with end-to-end pipeline visibility.
Deployment options: JFrog ML Cloud offers cloud deployment, while its hybrid architecture allows data and models to remain in a customer's cloud environment.
Cloud providers: The product page states that JFrog ML natively supports AWS, Google Cloud, and Microsoft Azure.
Model training: The product page says users can train or fine-tune models, including building models from scratch.
Supported audiences: JFrog ML is presented for data scientists, ML engineers, and AI developers taking AI and ML services to production.
Security and governance: JFrog describes JFrog ML as bridging AI/ML and DevSecOps and bringing AI development into an existing secure software development lifecycle.
Integrations: JFrog's integration page lists more than 100 integrations across DevOps, DevSecOps, DevGovOps, and MLOps.
MLOps bundle eligibility: The pricing page says Unified MLOps is available for Enterprise X and Enterprise + subscriptions, while Ultimate MLOps is available for Enterprise + subscriptions.
Usage limits: The pricing page lists Unified MLOps with a 200-developer base bundle and Ultimate MLOps with a 500-developer base bundle, with additional developers available at volume discounts.

Where it ranks on Freedom251

Best Model Registry Software in 2026#24 of 33

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Sources

docs.jfrog.com/ai-ml/docs/jfrog-ml-introduction· checked 2 Oct 2026
jfrog.com/jfrog-ml/· checked 2 Oct 2026
jfrog.com/integrations/· checked 2 Oct 2026
jfrog.com/pricing/· checked 2 Oct 2026
docs.jfrog.com/ai-ml/docs/feature-store-overview· checked 3 Oct 2026
docs.jfrog.com/ai-ml/docs/jfrog-ml-architecture· checked 3 Oct 2026
jfrog.com/trust/certificate-program/· checked 3 Oct 2026
docs.jfrog.com/ai-ml/docs/performance-monitors· checked 3 Oct 2026
jfrog.com/about/· checked 3 Oct 2026