Opik may suit teams building LLM applications or agents that need tracing and evaluation.
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Best Model Registry Software 2026
Facts read 22 Sep 2026 – 15 Oct 2026
Model registry software gives you features to compare for organizing model artifacts and keeping track of model changes and deployment. Look at model versioning, aliases and lineage to assess how entries handle model identity and history. Artifact storage, approval workflows and deployment tracking add other dimensions to consider for your processes. Check the free plan and paid-from price as well. Weights & Biases, Comet and GitLab Package Registry are among the options, with Amazon SageMaker Autopilot and ClearML also shown. Think about what you need to store, trace or approve, and compare those requirements against the listed features and plan details.
The standings: top 10
| Name | In a line | Record score | Price from | Try it free | Runs on | Facts read |
|---|---|---|---|---|---|---|
| 01 Comet | Opik may suit teams building LLM applications or agents that need tracing and evaluation. | 6.0 | $19 a month | Free plan | Web, Windows, Mac, Linux | 15 Oct 2026 |
| 02 DagsHub | DagsHub suits developers and teams managing machine-learning data and experiments across multiple project stages. | 6.0 | $99 a month | Free plan | Web, Windows, Mac, Linux | 15 Oct 2026 |
| 03 TrueFoundry AI Gateway | This gateway suits teams managing access to multiple AI models and providers. | 5.7 | $499 a month | Free plan | Web, Linux, API, Self-hosted | 15 Oct 2026 |
| 04 ClearML | It suits teams developing, training, and deploying AI/ML models that need GPU infrastructure management and experiment tracking. | 5.1 | $15 a month | Free plan | Web, Windows, Mac, Linux | 3 Oct 2026 |
| 05 ZenML | The Open Source plan is described for individuals and small teams; Scale is aimed at teams running ML in production. | 5.0 | $999 a month | Free plan | Web, Windows, Mac, Linux | 30 Sep 2026 |
| 06 MLRun | MLRun provides a shared technology stack for data engineers, data scientists and machine-learning engineers. | 4.9 | Free plan | Free plan | Web, Windows, Mac, Linux | 30 Sep 2026 |
| 07 Jozu Hub | Jozu Hub suits enterprise, regulated-industry, and government teams managing model and agent artifacts. | 4.7 | Free plan | Free plan | Web, API, Self-hosted | 5 Oct 2026 |
| 08 Hopsworks AI Lakehouse | The platform is aimed at developers, data scientists, platform and security engineers, and administrators building AI systems. | 4.6 | Free plan | Free plan | Web, Linux, API, Self-hosted | 3 Oct 2026 |
| 09 DataRobot | It suits enterprises developing and governing AI, especially organizations in regulated industries. | 4.3 | — | Free trial | Web, Linux, API, Self-hosted | 5 Oct 2026 |
| 10 MLflow Model Registry | The registry suits solo data scientists and large machine-learning platform teams that need version tracking and lifecycle workflows. | 4.3 | Free plan | Free plan | Web, Linux, API, Self-hosted | 29 Sep 2026 |
DagsHub
DagsHub suits developers and teams managing machine-learning data and experiments across multiple project stages.
WebWindowsMac+3TrueFoundry AI Gateway
This gateway suits teams managing access to multiple AI models and providers.
WebLinuxAPI+1ClearML
It suits teams developing, training, and deploying AI/ML models that need GPU infrastructure management and experiment tracking.
WebWindowsMac+3ZenML
The Open Source plan is described for individuals and small teams; Scale is aimed at teams running ML in production.
WebWindowsMac+3MLRun provides a shared technology stack for data engineers, data scientists and machine-learning engineers.
Jozu Hub suits enterprise, regulated-industry, and government teams managing model and agent artifacts.
The platform is aimed at developers, data scientists, platform and security engineers, and administrators building AI systems.
It suits enterprises developing and governing AI, especially organizations in regulated industries.
The registry suits solo data scientists and large machine-learning platform teams that need version tracking and lifecycle workflows.
It suits AI and machine-learning teams running workloads on Kubernetes that need experiment tracking, orchestration, serving, and evaluations.
It suits teams delivering applications on OpenShift, including decentralized teams working with microservice-based architectures.
Joule Studio is intended for developers, architects, and technically oriented business teams building enterprise AI solutions.
It suits teams building search, recommendation, generative AI, chatbot, or multimodal applications through cloud APIs.
It is for data scientists and ML engineers building feature workflows within Snowflake, particularly those using Python or SQL and Snowflake Model Registry.
It suits demand planners, business leaders, and teams aligning finance, operations, and compliance around forecasts.