Business Intelligence · head to head
Deepnote vs Weights & Biases

Deepnote
Business Intelligence
Collaborative cloud workspace for data analytics and machine learning
- From
- Free
- Rated
- -

Weights & Biases
Machine Learning
Developer tools for machine learning
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Deepnote free plan limited to 3 editors, restricting team usage; Weights & Biases pricing can be prohibitive for large teams without enterprise discounts
- They diverge on capability: Deepnote covers Collaborative notebooks, Weights & Biases covers Experiment tracking.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Deepnote and Weights & Biases actually diverge.
| Attribute | Deepnote | Weights & Biases |
|---|---|---|
| Pricing model | Subscription with free tier | Unknown |
| Platforms | Web, API | Web, Python SDK, REST API |
| Category | Business Intelligence | Machine Learning |
| Founded | Unknown | 2017 |
Identical on both: starting price (Free), 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 Deepnote
- Collaborative notebooks
- Interactive dashboards
- Data agent building
- Scheduled pipelines
- Model management
- 100+ integrations
- GPU support
- API deployment
Only in Weights & Biases
- Experiment tracking
- Dataset versioning
- Model registry
- Hyperparameter sweeps
- Collaborative dashboards
- PyTorch
- TensorFlow
- Keras
What people use each for
The jobs each tool is most often brought in to do.
Deepnote
- Data exploration and analysis workflowsnot Weights & Biases
- Building interactive business intelligence dashboardsnot Weights & Biases
- Collaborative machine learning model developmentnot Weights & Biases
- Automating ETL and data pipeline orchestrationnot Weights & Biases
- Creating shareable reports without exportsnot Weights & Biases
Weights & Biases
- Machine learningnot Deepnote
- Data analysisnot Deepnote
- Model trainingnot Deepnote
- Predictive analyticsnot Deepnote
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Deepnote
- Free plan limited to 3 editors, restricting team usage
- Limited revision history on free plan compared to competitors
- Requires Team plan or higher for automated scheduling
- GPU support incurs additional charges beyond base subscription
- No mentioned offline capability
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
Deepnote
Free- FreeFree
- Up to 3 editors
- Up to 5 projects
- Limited Deepnote AI
- Team$39/month
- Unlimited viewers and notebooks
- Full Deepnote AI access
- Premium integrations
- Enterprise$null/custom
- Everything in Team plan
- Custom contracts
- Priority support
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 Deepnote if
- You need collaborative notebooks.
- You want to start without paying.
- You work on Web, API.
- You also want interactive dashboards.
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 Deepnote or Weights & Biases better?
- Neither clearly leads. Deepnote 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, Deepnote or Weights & Biases?
- Deepnote starts at Free and Weights & Biases at Free.
- Does Deepnote or Weights & Biases run on more platforms?
- Deepnote runs on Web, API. Weights & Biases runs on Web, Python SDK, REST API.
- Can I use Deepnote for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Deepnote best used for?
- Deepnote is most often used for data exploration and analysis workflows, building interactive business intelligence dashboards, collaborative machine learning model development, automating etl and data pipeline orchestration. Of those, data exploration and analysis workflows and building interactive business intelligence dashboards are not what Weights & Biases is typically brought in for.
- What can Deepnote do that Weights & Biases cannot?
- Deepnote covers Collaborative notebooks, Interactive dashboards, Data agent building, Scheduled pipelines. Weights & Biases covers Experiment tracking, Dataset versioning, Model registry, Hyperparameter sweeps.
Answered from the vendors’ own pages
Deepnote: What is included in the free Deepnote plan?
The free plan includes up to 3 editors, up to 5 projects, limited Deepnote AI, basic machines with 5 GB RAM, and 7-day revision history.
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.
SourceDeepnote: What data sources can Deepnote integrate with?
Deepnote integrates with 100+ data sources including major data warehouses like Snowflake, BigQuery, and Redshift, as well as BI platforms like Looker, Tableau, and Power BI.
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.
SourceDeepnote: Does Deepnote support collaboration?
Yes, Deepnote provides real-time collaborative notebooks where multiple team members can work simultaneously. The Team plan allows unlimited viewers and notebooks.
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.
SourceDeepnote: What compliance certifications does Deepnote have?
Deepnote is SOC 2, HIPAA, GDPR, and CCPA compliant and offers role-based access control, single sign-on, and directory synchronization.
SourceRelated pages
More on Weights & Biases
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- Weights & Biases vs Stata
- Weights & Biases vs TensorBoard
- Weights & Biases vs KNIME
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