Business Intelligence · head to head
Deepnote vs Weka

Deepnote
Business Intelligence
Collaborative cloud workspace for data analytics and machine learning
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Deepnote free plan limited to 3 editors, restricting team usage; Weka the package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
- They diverge on capability: Deepnote covers Collaborative notebooks, Weka covers Classification.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Deepnote and Weka actually diverge.
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 Weka
- Classification
- Regression
- Clustering
- Association rules
- Feature selection
- Java
- R
- Python
What people use each for
The jobs each tool is most often brought in to do.
Deepnote
- Data exploration and analysis workflowsnot Weka
- Building interactive business intelligence dashboardsnot Weka
- Collaborative machine learning model developmentnot Weka
- Automating ETL and data pipeline orchestrationnot Weka
- Creating shareable reports without exportsnot Weka
Weka
- Teaching and exploring classic machine learning algorithms through a GUInot Deepnote
- Running data mining experiments and preprocessing without writing codenot 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
Weka
- The package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
- Weka is split into a stable 3.8 branch that receives only bug fixes and compatibility-safe upgrades and a 3.9 development branch that may receive features that break compatibility
- Weka requires a 64-bit Java VM; the bundled installers ship Bellsoft OpenJDK 25 per platform and architecture
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
Weka
Free- Open SourceFree
- All ML algorithms
- GUI and CLI
- Java API
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 Weka if
- You need classification.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want regression.
Questions people ask
- Is Deepnote or Weka better?
- Neither clearly leads. Deepnote starts at Free and Weka at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Deepnote or Weka?
- Deepnote starts at Free and Weka at Free.
- Does Deepnote or Weka run on more platforms?
- Deepnote runs on Web, API. Weka runs on Linux, Mac, Windows.
- 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 Weka is typically brought in for.
- What can Deepnote do that Weka cannot?
- Deepnote covers Collaborative notebooks, Interactive dashboards, Data agent building, Scheduled pipelines. Weka covers Classification, Regression, Clustering, Association rules.
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.
SourceWeka: What is the cost of Weka software?
Weka is provided at no cost as open-source software released under the GNU General Public License, making it freely available for download and use.
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.
SourceWeka: Are there commercial licensing options available?
Yes, the project offers information about commercial licenses for organizations requiring non-GPL terms, which can be found in their commercial applications documentation.
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.
SourceWeka: What support resources are available to users?
Multiple support avenues exist including comprehensive documentation, frequently asked questions, dedicated help resources, and access to courses for learning the platform.
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.
SourceWeka: Is source code access provided?
Yes, developers have full access to source code through the Git repository, along with development documentation and code credits for contributors.
SourceRelated pages
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- Weka vs Klipfolio
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- Weka vs Periscope Data
- Weka vs Cyfe
- Weka vs DashThis
- Weka vs Grow
- Weka vs Luzmo
- Weka vs ThoughtSpot
- Weka vs Cube
- Weka vs Pigment
- Weka vs Evidence
- Weka vs Google Data Studio
- Weka vs Lightdash
- Weka vs AWS SageMaker
- Weka vs Google Vertex AI
- Weka vs Azure Machine Learning
- Weka vs DataRobot
- Weka vs Orange
- Weka vs scikit-learn
- Weka vs Databricks
- Weka vs MATLAB
- Weka vs SAS
- Weka vs Apache Spark MLlib
- Weka vs ClearML
- Weka vs Minitab
- Weka vs Mistral AI
- Weka vs Ollama
- Weka vs OpenRouter
- Weka vs BigQuery ML
- Weka vs JMP

