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Neptune.ai

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Experiment tracking for ML teams

AnalyticsDeveloper ToolsData Visualization
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Tracked since2025
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The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Good experiment tracking

Biggest con

Expensive

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, paid plans available
Pricing: Free plan available
Best for: Growing teams

What is Neptune.ai?

Editorial review
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.
how we evaluateSourceneptune.ai ↗

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 Trial

Pricing checked Aug 18, 2026

Startup

$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
Calculate your costView full pricing

Is Neptune.ai worth the price?

70/100

Neptune.ai's pricing, starting at $150/user/month for 'Startup' and $250/user/month for 'Lab', is on the higher end compared to some competitors, especially for smaller teams.

The 'Startup' tier offers good core features, but the jump to 'Lab' for advanced team capabilities like RBAC and dedicated support is significant. It's best for established ML teams with a clear budget for robust experiment tracking.

Hidden Costs & Gotchas

Annual commitment for 'Lab' tier

Potential for rapid data point/storage overages

Custom pricing for self-hosting

How Neptune.ai Compares to Competitors

Compared to MLflow, which is open-source and free to self-host (though requiring engineering effort), Neptune.ai's $150-$250/user/month is a premium. Weights & Biases offers a free tier and paid plans starting around $50/user/month for similar features, making Neptune.ai's entry point considerably more expensive for individual users or small teams.

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Best Neptune.ai Alternatives

Top alternatives based on features, pricing, and user needs.

MLflow logo
MLflowFree

Manage your ML lifecycle: track, register, and deploy models

4.1
Weights & Biases logo
Weights & BiasesFreemium

Track, compare, and share ML experiments and models

4.6
Comet ML logo
Comet MLPaid

Machine learning experiment tracking platform

4.3
ClearML logo
ClearMLFreemium

Open-source MLOps platform for experiment tracking

4.7
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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

Neptune.ai vs MLflowHead-to-head: features, pricing, who winsNeptune.ai vs Weights & BiasesHead-to-head: features, pricing, who winsNeptune.ai vs Comet MLHead-to-head: features, pricing, who wins

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Neptune.ai FAQ

How does Neptune.ai support machine learning teams in their daily workflow?

Neptune.ai helps ML teams by providing collaborative experiment tracking, allowing them to log experiments, compare runs, and share results efficiently. This focus on team MLOps streamlines the process of working together on machine learning projects.

Which teams benefit most from using Neptune.ai?

ML teams that require collaborative experiment tracking and visual comparison of runs will find Neptune.ai most beneficial. It is designed for groups that need to work together on machine learning operations.

How does Neptune.ai compare to MLflow for experiment tracking?

Neptune.ai emphasizes collaborative experiment tracking with strong team features and a clean UI, while MLflow also offers experiment tracking capabilities. Neptune.ai provides flexible logging and visual comparison tools for shared ML projects.

What kind of limitations should users be aware of when considering Neptune.ai?

Users should be aware that Neptune.ai can be expensive, and it has storage limits. Additionally, some of its features are considered basic, and it has a smaller community compared to some competitors.

How is Neptune.ai priced?

Neptune.ai is available on a free tier, which allows users to get started without initial cost. For more extensive usage and additional features, paid plans are offered.

Can Neptune.ai integrate with existing machine learning tools?

Yes, Neptune.ai offers good integrations, allowing it to connect with various tools in a machine learning ecosystem. This flexibility supports existing workflows and enhances its utility for ML teams.

Source: neptune.ai

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