Machine Learning & Data Science · head to head
DVC vs Weights & Biases

DVC
Machine Learning & Data Science
Data version control for machine learning projects
- From
- Free
- Rated
- -

Weights & Biases
Machine Learning & Data Science
Developer tools for machine learning
- From
- Free
- Rated
- -
The short version
- Each has a real cost: 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.; Weights & Biases pricing can be prohibitive for large teams without enterprise discounts
- They diverge on capability: DVC covers Data versioning, Weights & Biases covers Dataset versioning.
Where they differ
Only the attributes on which DVC and Weights & Biases actually diverge.
| Attribute | DVC | Weights & Biases |
|---|---|---|
| Pricing model | open-source | Unknown |
| Platforms | Linux, Mac, Windows | Web, Python SDK, REST API |
| Founded | 2018 | 2017 |
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 DVC
- Data versioning
- Pipeline management
- Remote storage
- Git integration
- Git
- S3
- Azure Blob
- Google Cloud Storage
Only in Weights & Biases
- Dataset versioning
- Model registry
- Hyperparameter sweeps
- Collaborative dashboards
- PyTorch
- TensorFlow
- Keras
- Hugging Face
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.
DVC
- Machine learning
- Data analysis
- Model training
- Predictive analytics
Weights & Biases
- 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.
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.
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
Pricing, plan by plan
DVC
Free- Open SourceFree
- Data versioning
- Pipeline management
- Experiment tracking
- DVC StudioFree
- Web UI
- Team collaboration
- Visualizations
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
Which should you pick?
Choose DVC if
- You need data versioning.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want pipeline management.
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.
Questions people ask
- Is DVC or Weights & Biases better?
- Neither clearly leads. DVC starts at Free and Weights & Biases at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DVC or Weights & Biases?
- DVC starts at Free and Weights & Biases at Free.
- Does DVC or Weights & Biases run on more platforms?
- DVC runs on Linux, Mac, Windows. Weights & Biases runs on Web, Python SDK, REST API.
- Can I use DVC for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DVC best used for?
- DVC is most often used for machine learning, data analysis, model training, predictive analytics.
- What can DVC do that Weights & Biases cannot?
- DVC covers Data versioning, Pipeline management, Remote storage, Git integration. Weights & Biases covers Dataset versioning, Model registry, Hyperparameter sweeps, Collaborative dashboards. 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.
SourceWeights & 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.
SourceWeights & 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.
SourceRelated pages
More on Weights & Biases
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