Neptune

Metadata store for MLOps, built for research and production teams that run a lot of experiments

Neptune Overview

Feel in control of your models and experiments by having all metadata organized in a single place.
Focus on ML, leave metadata bookkeeping to Neptune.

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Categories:
All
MLOps
Data
Data+MLOps

System-wide Features:
Teamwork and Collaboration
Enterprise Security
Governance
Enterprise Support

MLOps Features:
Data Acquisition
Data Versioning
Data Visualization
Data Preparation
Data Pipelines
Data Labeling
AutoML
Featurization
Feature Store
ML Pipelines or Workflows
Model Registry
Model Marketplace
Model Training
Distributed Model Training
Model Debugging
Experiment Management
Deep Learning Support
Reinforcement Learning Support
Bias Detection and Mitigation
Model Explainability
Hyperparameter Optimization
Model Packaging
Model Deployment and Serving
Edge ML Support
Model Monitoring
Cost Management
ML Infrastructure Orchestration
Accelerator Support
Kubernetes Support

Experiment Management Sub-features:
Log: Data
Log: Code
Log: Parameters
Log: Metrics and Losses
Log: Descriptions
Log: Rich Media
Log: Hardware Consumption
Log: System Information
Log: Environment Configuration
Log: Files
Tracking: Organize Experiments
Tracking: Filter and Search
Tracking: Live Monitoring
Tracking: Can Track Thousands of Experiments
Visualize: Compare and Evaluate Experiments
Collaboration: Role Based Access Controls
Collaboration: Deep Links Into Assets
Collaboration: Customizable Experiment Reporting

Data Types Handled:
Text
Documents
Images
Video
Audio
3D point cloud
AR and VR
Geospatial

Have you used Neptune?

If so, please share your experiences with the TWIML community.

Additional Product Information

Product Links

Deploys On

Amazon Web Services
Google Cloud Platform
Microsoft Azure
Other Public Cloud
Kubernetes
NVIDIA
Private Cloud or Datacenter
SaaS

Pricing:

Free Version

Paid Version

Neptune Vendor Information

Vendor Overview

Neptune is a metadata store for experiment tracking and model registry. It allows you to log, store, query, display, organize, and compare all your model metadata in a single place.