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Machine Learning & Data Science · head to head

Weights & Biases vs DVC

Weights & Biases logo

Weights & Biases

Machine Learning & Data Science

Developer tools for machine learning

From
Free
Rated
-
Full reviewWebsite
DVC logo

DVC

Machine Learning & Data Science

Data version control for machine learning projects

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Weights & Biases pricing can be prohibitive for large teams without enterprise discounts; DVC dVC is Apache 2.0 licensed open source with no enterprise tier or paid support offering documented in the project itself; teams needing SLA-backed support get nothing from the DVC project directly.
  • They diverge on capability: Weights & Biases covers Dataset versioning, DVC covers Data versioning.

Where they differ

Only the attributes on which Weights & Biases and DVC actually diverge.

Attributes where Weights & Biases and DVC differ
AttributeWeights & BiasesDVC
Pricing modelUnknownopen-source
PlatformsWeb, Python SDK, REST APILinux, Mac, Windows
Founded20172018

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Weights & Biases

  • Dataset versioning
  • Model registry
  • Hyperparameter sweeps
  • Collaborative dashboards
  • PyTorch
  • TensorFlow
  • Keras
  • Hugging Face

Only in DVC

  • Data versioning
  • Pipeline management
  • Remote storage
  • Git integration
  • Git
  • S3
  • Azure Blob
  • Google Cloud Storage

Both cover

  • Experiment tracking
  • Linux support
  • Mac support
  • Windows support

What people use each for

The jobs each tool is most often brought in to do.

Weights & Biases

  • Machine learning
  • Data analysis
  • Model training
  • Predictive analytics

DVC

  • Machine learning
  • Data analysis
  • Model training
  • Predictive analytics

Both are used for machine learning, data analysis, model training, predictive analytics, on those jobs the choice comes down to price and fit rather than capability.

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Weights & Biases

  • Pricing can be prohibitive for large teams without enterprise discounts
  • Limited integrations compared to some competitors
  • Dashboard customization options limited on lower plans
  • Requires some setup and configuration knowledge

DVC

  • DVC is Apache 2.0 licensed open source with no enterprise tier or paid support offering documented in the project itself; teams needing SLA-backed support get nothing from the DVC project directly.

Pricing, plan by plan

Weights & Biases

Free
  • FreeFree
    • 5 model seats
    • 5 GB storage
    • 1 GB/month Weave ingestion
  • Pro$60/month
    • 10 seats
    • 100 GB storage
    • Private projects
  • Teams$179/month
    • Team collaboration
    • Advanced analytics
    • Dedicated support

DVC

Free
  • Open SourceFree
    • Data versioning
    • Pipeline management
    • Experiment tracking
  • DVC StudioFree
    • Web UI
    • Team collaboration
    • Visualizations

Which should you pick?

Choose Weights & Biases if

  • You need dataset versioning.
  • You want to start without paying.
  • You work on Web, Python SDK, REST API.
  • You also want model registry.
Weights & Biases review

Choose DVC if

  • You need data versioning.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want pipeline management.
DVC review

Questions people ask

Is Weights & Biases or DVC better?
Neither clearly leads. Weights & Biases starts at Free and DVC at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Weights & Biases or DVC?
Weights & Biases starts at Free and DVC at Free.
Does Weights & Biases or DVC run on more platforms?
Weights & Biases runs on Web, Python SDK, REST API. DVC runs on Linux, Mac, Windows.
Can I use Weights & Biases for free?
Both have a free tier, so you can try either at no cost before committing.
What is Weights & Biases best used for?
Weights & Biases is most often used for machine learning, data analysis, model training, predictive analytics.
What can Weights & Biases do that DVC cannot?
Weights & Biases covers Dataset versioning, Model registry, Hyperparameter sweeps, Collaborative dashboards. DVC covers Data versioning, Pipeline management, Remote storage, Git integration. Both handle Experiment tracking, Linux support, Mac support, Windows support.

Answered from the vendors’ own pages

Weights & Biases: Does Weights & Biases have a free plan?

Yes. The Free tier includes 5 model seats, 5 GB storage, and 1 GB/month Weave ingestion. Academic users get unlimited tracked hours, 200 GB storage, and 100 seats at no cost.

Source
Weights & Biases: What are the paid plans for Weights & Biases?

Pro starts at $60/month with 10 seats and 100 GB storage. Team plans start at $179/month. Enterprise pricing is custom.

Source
Weights & Biases: What machine learning features does W&B provide?

Weights & Biases captures hyperparameters, metrics, and model outputs automatically. Features include experiment tracking, interactive Reports for sharing findings, Artifacts for managing datasets and models, advanced hyperparameter sweeps, and model deployment tools.

Source
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