Technology · head to head
Excalidraw vs Weights & Biases

Excalidraw
Technology
Virtual whiteboard for sketching hand-drawn like diagrams
- From
- Free
- Rated
- -

Weights & Biases
Machine Learning
Developer tools for machine learning
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Excalidraw advanced features (unlimited private scenes/folders, cloud storage, access management, presentations, extended AI, team management) are gated behind Excalidraw+; Weights & Biases pricing can be prohibitive for large teams without enterprise discounts
- They diverge on capability: Excalidraw covers Hand-drawn style diagrams, Weights & Biases covers Experiment tracking.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Excalidraw and Weights & Biases actually diverge.
| Attribute | Excalidraw | Weights & Biases |
|---|---|---|
| Platforms | Web | Web, Python SDK, REST API |
| Category | Technology | Machine Learning |
| Founded | 2020 | 2017 |
Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated).
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 Excalidraw
- Hand-drawn style diagrams
- Real-time collaboration
- Infinite canvas
- Shape libraries
- Text support
- Image import
- Export options
- Keyboard shortcuts
Only in Weights & Biases
- Experiment tracking
- Dataset versioning
- Model registry
- Hyperparameter sweeps
- Collaborative dashboards
- PyTorch
- TensorFlow
- Keras
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Excalidraw
- Wireframing and diagrammingnot Weights & Biases
- Real-time collaborative whiteboardingnot Weights & Biases
- Hand-drawn-style illustrations for docs and decksnot Weights & Biases
- Embedding a whiteboard into third-party apps via the npm packagenot Weights & Biases
- Visual planning and note-takingnot Weights & Biases
Weights & Biases
- Machine learningnot Excalidraw
- Data analysisnot Excalidraw
- Model trainingnot Excalidraw
- Predictive analyticsnot Excalidraw
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Excalidraw
- Advanced features (unlimited private scenes/folders, cloud storage, access management, presentations, extended AI, team management) are gated behind Excalidraw+
- Free hosted version persists via scene links/local storage rather than a managed multi-scene workspace
- Self-hosting the full collaborative stack requires standing up a websocket server and storage beyond the npm editor package
- No official native desktop or app-store mobile apps - web/PWA only
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
Excalidraw
Free- Excalidraw+$6/month
- Unlimited private scenes and folders
- Cloud storage
- Access management
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 Excalidraw if
- You need hand-drawn style diagrams.
- You want to start without paying.
- You also want real-time collaboration.
Choose Weights & Biases if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Python SDK, REST API.
- You also want dataset versioning.
Questions people ask
- Is Excalidraw or Weights & Biases better?
- Neither clearly leads. Excalidraw 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, Excalidraw or Weights & Biases?
- Excalidraw starts at Free and Weights & Biases at Free.
- Does Excalidraw or Weights & Biases run on more platforms?
- Excalidraw runs on Web. Weights & Biases runs on Web, Python SDK, REST API.
- Can I use Excalidraw for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Excalidraw best used for?
- Excalidraw is most often used for wireframing and diagramming, real-time collaborative whiteboarding, hand-drawn-style illustrations for docs and decks, embedding a whiteboard into third-party apps via the npm package. Of those, wireframing and diagramming and real-time collaborative whiteboarding are not what Weights & Biases is typically brought in for.
- What can Excalidraw do that Weights & Biases cannot?
- Excalidraw covers Hand-drawn style diagrams, Real-time collaboration, Infinite canvas, Shape libraries. Weights & Biases covers Experiment tracking, Dataset versioning, Model registry, Hyperparameter sweeps. Both handle Web support.
Answered from the vendors’ own pages
Excalidraw: Is Excalidraw free?
Excalidraw appears to be a free drawing application available at no cost to users. The website does not display information about pricing tiers or premium features, suggesting it is offered as a free service.
SourceWeights & 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.
SourceExcalidraw: Does Excalidraw offer paid plans?
No pricing tiers or paid upgrade options are mentioned on the Excalidraw website, which indicates the service is available entirely free without commercial pricing models.
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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