Machine Learning · head to head
Weights & Biases vs Weka

Weights & Biases
Machine Learning
Developer tools for machine learning
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Weights & Biases pricing can be prohibitive for large teams without enterprise discounts; 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: Weights & Biases covers Experiment tracking, Weka covers Classification.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Weights & Biases and Weka actually diverge.
| Attribute | Weights & Biases | Weka |
|---|---|---|
| Pricing model | Unknown | open-source |
| Platforms | Web, Python SDK, REST API | Linux, Mac, Windows |
| Founded | 2017 | 1993 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning).
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
- Experiment tracking
- Dataset versioning
- Model registry
- Hyperparameter sweeps
- Collaborative dashboards
- PyTorch
- TensorFlow
- Keras
Only in Weka
- Classification
- Regression
- Clustering
- Association rules
- Feature selection
- Java
- R
- Python
Both cover
- 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 learningnot Weka
- Data analysisnot Weka
- Model trainingnot Weka
- Predictive analyticsnot Weka
Weka
- Teaching and exploring classic machine learning algorithms through a GUInot Weights & Biases
- Running data mining experiments and preprocessing without writing codenot Weights & Biases
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
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
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
Weka
Free- Open SourceFree
- All ML algorithms
- GUI and CLI
- Java API
Which should you pick?
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.
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 Weights & Biases or Weka better?
- Neither clearly leads. Weights & Biases 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, Weights & Biases or Weka?
- Weights & Biases starts at Free and Weka at Free.
- Does Weights & Biases or Weka run on more platforms?
- Weights & Biases runs on Web, Python SDK, REST API. Weka 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. Of those, machine learning and data analysis are not what Weka is typically brought in for.
- What can Weights & Biases do that Weka cannot?
- Weights & Biases covers Experiment tracking, Dataset versioning, Model registry, Hyperparameter sweeps. Weka covers Classification, Regression, Clustering, Association rules. Both handle 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.
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.
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.
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.
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.
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.
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 Stata
- Weka vs TensorBoard
- Weka vs KNIME
- Weka vs SAS
- Weka vs AWS SageMaker
- Weka vs Google Vertex AI
- Weka vs DataRobot
- Weka vs Orange
- Weka vs scikit-learn
- Weka vs Databricks
- Weka vs Apache Spark MLlib
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