Super similar software
Polar opposite price
Both Neptune and Comet allow you to effectively track, visualize, and compare your ML model metadata.
Both offer flexible cloud-hosted or on-prem deployment options. And both let you easily
collaborate, and share experiment results with your stakeholders.
But only Neptune will fit nicely into your budget.
paid plan
for seamless migration
& tutorials
Choose Neptune for faster ML metadata management
For much, much less
Cost
Reasonable pricing that fits your reality
Per-user pricing for metadata management doesn’t make sense when half your team only needs to view the UI. Or if you frequently add and remove users. Or when you can go weeks on end without training any models.
With Neptune, you pay a low monthly base fee — and get unlimited access for your entire team. (Plus, you get 3.5X more logging hours — even on the most affordable plan.)
Interface
The user interface that works as fast as you do
You shouldn’t have to live with a lagging UI or long experiment load times. Neptune is — and always will be — everything you need to manage your ML metadata. And nothing else. We built it as lightweight as possible. So you can work as fast as possible.
Scale from 10 to 2000+ runs. With zero effect on speed.
Take a deep dive into
what makes Neptune different
Neptune
Comet
Commercial Requirements
Standalone component. ML metadata store that focuses on experiment tracking and model registry
Stand-alone tool with community, self-serve and managed deployment options
Yes, you can deploy Comet on any cloud environment or on-premise
Managed cloud service
Managed cloud service
General Capabilities
No special requirements other than having the neptune-client installed and access to the internet if using managed hosting. Check here for infrastructure requirements for on-prem deployment
Yes, through the neptune-client library
Yes, through comet_ml library
No
No
No
No
No
No
No
No
No
Webhooks only for model management. Notifications only for change in experiment status
Experiment Tracking
No
No
No
NA
No
No
No
No
Only with the YOLOv5 integration
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
Yes
Yes
Yes
Yes
Query language
Query language
No
No
No
No
No
No
Model Registry
No
No
No
No
No
No
No
No
Limited
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
No
Integrations and Support
No
No
No
No
No
No
No
No
No
No (only used as dependency for another integration ludwig)
No
No
No
No
No
No
No
No
No
No
No
No
No
No
Report outdated information here.
You deserve fairly priced ML metadata management
With Neptune, that’s exactly what you get.