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ClearML vs Weights & Biases: Which is Better in 2026?

Choosing between ClearML and Weights & Biases comes down to understanding what each tool does best. This comparison breaks down the key differences so you can make an informed decision based on your specific needs, not marketing claims.

Bottom line: Weights & Biases wins this matchup. Porkbun is our overall Developer Tools pick. Jotai is our free Developer Tools pick. Pick ClearML if you need developer tools.

Methodology
Editor reviewed 70 user reviews compared Pricing checked Oct 2026

Short on time? Here's the quick answer

Based on published vendor pricing and features and on public review data, here's who should pick what:

ClearML

Open-source MLOps platform for experiment tracking

Best for you if:

  • • You want MLOps platform

Weights & Biases

Track, compare, and share ML experiments and models

Best for you if:

  • • You want great visualizations
At a Glance
ClearMLClearML
Weights & BiasesWeights & Biases
Starts at
Free Free plan
Free Free plan
Category
Developer Tools Analytics
Analytics Data Visualization
Rating
4.7/5 G2 4.7 13 reviews4.6/5 G2 4.6 57 reviews
Free plan
Yes Yes
Watch out for
n/aOverage fees for storage/Weave data on Free tier

Choose ClearML or Weights & Biases?

ClearML

Choose ClearML if

  • You want MLOps platform
  • You want experiment tracking
  • Budget matters (Free vs Free)
  • You work in developer tools, not analytics
Weights & Biases

Choose Weights & Biases if

  • You want great visualizations
  • You want team collaboration
  • You work in analytics, not developer tools

In-Depth Analysis

ClearMLClearML

Open-source MLOps platform for experiment tracking

Good value

ClearML's pricing is quite generous, especially with its robust Community tier offering 100GB storage and 1M API calls for free.

Strengths

  • Pro: MLOps platform
  • Pro: Experiment tracking
  • Pro: Data management
  • Pro: Open source core
  • Pro: Self-hostable

Weaknesses

  • Con: Learning curve
  • Con: UI complex
  • Con: Documentation dense
  • Con: Enterprise expensive
  • Con: Smaller community

Key features

MLOps platform Experiment tracking Orchestration Model serving Self-hosted Open source

Weights & BiasesWeights & Biases

Track, compare, and share ML experiments and models

Good value

The pricing for Weights & Biases is fair, offering a generous Free tier and a competitive Pro tier at $60/month.

Watch out

Overage fees for storage/Weave data on Free tier

Strengths

  • Pro: Great visualizations
  • Pro: Team collaboration
  • Pro: Free tier

Weaknesses

  • Con: Learning curve
  • Con: Can be slow

Key features

Experiment tracking Model versioning Hyperparameter tuning Collaborative dashboards Artifact management GPU monitoring

Pricing: ClearML vs Weights & Biases

PlanClearMLWeights & Biases
Tier 1
Free
Community
Free
Free
Tier 2
$15 month per user
Pro
$60
Pro
Tier 3
custom
Scale
Free
Academic
Tier 4
custom
Enterprise
Custom
Enterprise

Pricing verified from each vendor's public pricing page. Compare in detail on ClearML pricing and Weights & Biases pricing.

Key Takeaways

Weights & Biases

  • Larger review base (57 reviews)
  • Free tier available
  • Our pick for this comparison

ClearML

  • Better fit for developer tools

The Bottom Line

Weights & Biases wins this matchup. Porkbun is our overall Developer Tools pick. Jotai is our free Developer Tools pick.

Frequently Asked Questions

Is ClearML or Weights & Biases better in 2026?

Weights & Biases wins this matchup. Porkbun is our overall Developer Tools pick. Jotai is our free Developer Tools pick. Pick ClearML for developer tools workflows (main strength: MLOps platform). Pick Weights & Biases for analytics workflows (main strength: great visualizations).

What are ClearML and Weights & Biases used for?

ClearML: Open-source MLOps platform for experiment tracking. Weights & Biases: Track, compare, and share ML experiments and models.

What does ClearML cost vs Weights & Biases?

ClearML's paid plans start at Free (Pro). Weights & Biases's paid plans start at Free (Pro).

What's the main difference between ClearML and Weights & Biases?

ClearML's main strength: MLOps platform. Weights & Biases's main strength: great visualizations.

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