Model registry
ML Infrastructure
Overview
Use casecentralized storage and versioning of machine learning models
Technical
Protocols
Integrates with
Also see
Alternative to
Competes with
Knowledge graph stats
Claims35
Avg confidence91%
Avg freshness100%
Last updatedUpdated 3 days ago
Trust distribution
100% unverified
Governance
Not assessed
Model registry
concept
Centralized repository for storing, versioning, and managing machine learning models and their metadata.
Compare with...provided by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| AWS SageMaker | ○Unverified | High | Fresh | 1 |
| Google Cloud Vertex AI | ○Unverified | High | Fresh | 1 |
| Azure Machine Learning | ○Unverified | High | Fresh | 1 |
primary use case
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| centralized storage and versioning of machine learning models | ○Unverified | High | Fresh | 1 |
| storing and managing machine learning models | ○Unverified | High | Fresh | 1 |
| centralized storage and management of machine learning models | ○Unverified | High | Fresh | 1 |
| versioning machine learning models | ○Unverified | High | Fresh | 1 |
| tracking model lifecycle and deployment stages | ○Unverified | High | Fresh | 1 |
component of
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| MLOps pipeline | ○Unverified | High | Fresh | 1 |
integrates with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| MLflow | ○Unverified | High | Fresh | 1 |
| Docker | ○Unverified | High | Fresh | 1 |
| Kubernetes | ○Unverified | Moderate | Fresh | 1 |
| Kubeflow | ○Unverified | Moderate | Fresh | 1 |
| Apache Airflow | ○Unverified | Moderate | Fresh | 1 |
| DVC | ○Unverified | Moderate | Fresh | 1 |
enables functionality
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| model version control and lineage tracking | ○Unverified | High | Fresh | 1 |
| model versioning and lifecycle management | ○Unverified | High | Fresh | 1 |
| model metadata tracking | ○Unverified | High | Fresh | 1 |
| model metadata management | ○Unverified | High | Fresh | 1 |
alternative to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| manual model storage | ○Unverified | High | Fresh | 1 |
| manual model file management | ○Unverified | Moderate | Fresh | 1 |
supports format
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| TensorFlow SavedModel | ○Unverified | High | Fresh | 1 |
| ONNX models | ○Unverified | Moderate | Fresh | 1 |
| Docker containers | ○Unverified | Moderate | Fresh | 1 |
supports api
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| REST API | ○Unverified | High | Fresh | 1 |
supports protocol
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| REST API | ○Unverified | High | Fresh | 1 |
supports model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| TensorFlow models | ○Unverified | High | Fresh | 1 |
| scikit-learn models | ○Unverified | High | Fresh | 1 |
| PyTorch models | ○Unverified | Moderate | Fresh | 1 |
supports workflow
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| model deployment and rollback | ○Unverified | High | Fresh | 1 |
supports stage
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| production model promotion | ○Unverified | High | Fresh | 1 |
requires component
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| artifact storage backend | ○Unverified | Moderate | Fresh | 1 |
alternative implementation
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Amazon SageMaker Model Registry | ○Unverified | Moderate | Fresh | 1 |
| Azure Machine Learning Model Registry | ○Unverified | Moderate | Fresh | 1 |
competes with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Weights & Biases Model Registry | ○Unverified | Moderate | Fresh | 1 |