Best Model Registries 2026
Facts read 29 Sep 2026 – 19 Oct 2026
This list covers model registry products for readers comparing services for machine-learning work. Compare platform support, pricing model, free plans and trial terms before you choose.
The standings: top 10
| Name | In a line | Record score | Price from | Try it free | Runs on | Facts read |
|---|---|---|---|---|---|---|
| 01 Databricks Notebooks | 8.9 | Free plan | Free plan | Android, Web, Windows, Mac | 14 Oct 2026 | |
| 02 Weights & Biases | It suits AI developers working on model training, fine-tuning, AI application development, or production monitoring. | 8.8 | $60 a month | Free plan | Android, iPhone & iPad, Web, Windows | 15 Oct 2026 |
| 03 Comet | Opik may suit teams building LLM applications or agents that need tracing and evaluation. | 8.7 | $19 a month | Free plan | Web, Windows, Mac, Linux | 15 Oct 2026 |
| 04 DagsHub | DagsHub suits developers and teams managing machine-learning data and experiments across multiple project stages. | 8.1 | $99 a month | Free plan | Web, Windows, Mac, Linux | 15 Oct 2026 |
| 05 GitLab Package Registry | GitLab Package Registry suits teams that need to publish dependencies for downstream projects within GitLab. | 7.5 | Free plan | Free plan | Web, Linux, API, Self-hosted | 29 Sep 2026 |
| 06 Amazon SageMaker Autopilot | It suits people building predictive models who want automated model generation alongside options to inspect and adjust data preparation and training. | 7.3 | Free plan | Free plan | Web, API | 19 Oct 2026 |
| 07 ClearML | It suits teams developing, training, and deploying AI/ML models that need GPU infrastructure management and experiment tracking. | 7.3 | $15 a month | Free plan | Web, Windows, Mac, Linux | 3 Oct 2026 |
| 08 TrueFoundry AI Gateway | This gateway suits teams managing access to multiple AI models and providers. | 7.3 | $499 a month | Free plan | Web, Linux, API, Self-hosted | 15 Oct 2026 |
| 09 Hopsworks AI Lakehouse | The platform is aimed at developers, data scientists, platform and security engineers, and administrators building AI systems. | 6.6 | Free plan | Free plan | Web, Linux, API, Self-hosted | 3 Oct 2026 |
| 10 Jozu Hub | Jozu Hub suits enterprise, regulated-industry, and government teams managing model and agent artifacts. | 6.6 | Free plan | Free plan | Web, API, Self-hosted | 5 Oct 2026 |
The page lists newest releases first, using figures the makers publish. It does not score products.
Weights & Biases
It suits AI developers working on model training, fine-tuning, AI application development, or production monitoring.
AndroidiPhone & iPadWeb+5Comet
Opik may suit teams building LLM applications or agents that need tracing and evaluation.
WebWindowsMac+3DagsHub
DagsHub suits developers and teams managing machine-learning data and experiments across multiple project stages.
WebWindowsMac+3GitLab Package Registry
GitLab Package Registry suits teams that need to publish dependencies for downstream projects within GitLab.
WebLinuxAPI+1It suits people building predictive models who want automated model generation alongside options to inspect and adjust data preparation and training.
It suits teams developing, training, and deploying AI/ML models that need GPU infrastructure management and experiment tracking.
This gateway suits teams managing access to multiple AI models and providers.
The platform is aimed at developers, data scientists, platform and security engineers, and administrators building AI systems.
Jozu Hub suits enterprise, regulated-industry, and government teams managing model and agent artifacts.
The Open Source plan is described for individuals and small teams; Scale is aimed at teams running ML in production.
MLRun provides a shared technology stack for data engineers, data scientists and machine-learning engineers.
The registry suits solo data scientists and large machine-learning platform teams that need version tracking and lifecycle workflows.
It suits enterprises developing and governing AI, especially organizations in regulated industries.
It suits AI and machine-learning teams running workloads on Kubernetes that need experiment tracking, orchestration, serving, and evaluations.
It suits organizations that need governance, metadata management, and access controls alongside data lake workloads.
CoCo is for teams doing data engineering, analytics, machine learning, or agent-building work in Snowflake.
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.
It suits large enterprises and regulated industries that need ongoing model-quality oversight, deployment controls, and retraining workflows.
It suits teams delivering applications on OpenShift, including decentralized teams working with microservice-based architectures.
Before you choose
Match the platform to your setup
Check the platform line for web, API, self-hosted, Linux, macOS or Windows support. Choose the access method that fits your environment.
Start with a free plan
A free plan is available from products on this list. Review what the free option includes before considering a paid tier.
Check the trial window
Trial terms vary. Listed trials include 14-day and 30-day periods, while a free plan may be offered instead of or alongside a trial.
Compare pricing models
Pricing models shown are free, freemium and paid. Published starting points include $15/user/mo for ClearML, $19/user/mo for Comet and $25/user/mo for TrueFoundry AI Gateway.