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TL;DR - Neptune.ai
- Neptune.ai is an ML experiment tracking and model registry platform
- It logs, organizes, and compares machine learning experiments at scale
- Free tier available, Team plans from $49/month
Pricing: Free plan available
Best for: Growing teams
Score: 82/100
Pros & Cons
Pros
- Good experiment tracking
- Clean UI
- Good integrations
- Team features
- Flexible logging
Cons
- Expensive
- Less known than W&B
- Smaller community
- Some features basic
- Storage limits
Key Features
Experiment trackingModel registryMetadata storeComparisonsTeam featuresEnterprise
Pricing Plans
Free TrialStartup
$150/user/month
- Unlimited tracked hours
- Unlimited users and projects
- 1B data points/month
- 1 TB storage
- 99.99% ingestion SLA
- SSO/LDAP
- Standard email and chat support
Lab
$250/user/month
- Everything from Startup
- 10B data points/month
- 10 TB storage
- Forking of runs
- Role-based access control
- Priority email and chat support
- Dedicated Customer Success Manager
- User support Slack channels
Self-hosted
Custom
- Everything from Lab
- Deployment on own infrastructure or private cloud
- Dedicated instance deployments
- Custom ingestion speed and storage limits
- High reliability/availability options
- Site Reliability Engineer support
About Neptune.ai
By Toolradar Team·
Neptune.ai tracks machine learning experiments with collaboration focus. Log experiments, compare runs, share results—MLOps for teams that work together.
The collaboration features help teams. The tracking is comprehensive. The comparison is visual.
ML teams wanting collaborative experiment tracking use Neptune for team MLOps.
Reviews
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Neptune.ai FAQ
Is Neptune AI free?
Neptune has a free tier for individual researchers. Team plans start at $49/month for collaboration and more storage.
What is Neptune AI?
Neptune.ai is an experiment tracking and model registry platform for machine learning teams. It logs experiments, compares runs, and manages model versions.
Neptune AI vs MLflow?
Neptune offers a better UI and easier collaboration for teams. MLflow is open source and free to self-host. Neptune is worth paying for if you value the experience.
Source: neptune.ai