Keras vs Weka
A comprehensive head-to-head comparison of two leading machine learning & data science solutions in 2026. Compare features, pricing, ratings, and more to find the right fit.
Quick Verdict
Choose Keras if you need Sequential and Functional API and prefer a free starting option. Choose Weka if you prioritize Classification and want a free tier to start. Keras has a higher user rating (4.6 vs 4.1).
Keras vs Weka: At a Glance
Feature Comparison: Keras vs Weka
| Feature | Keras | Weka |
|---|---|---|
| Sequential and Functional API | ||
| Pre-built neural network layers | ||
| Model training and evaluation | ||
| Transfer learning | ||
| Model serialization | ||
| TensorFlow | ||
| JAX | ||
| PyTorch | ||
| Linux support | ||
| Mac support | ||
| Windows support | ||
| Classification | ||
| Regression | ||
| Clustering | ||
| Association rules | ||
| Feature selection | ||
| Java | ||
| R | ||
| Python |
Keras vs Weka: Pricing Breakdown
Keras Pricing
Model: open-source
- High-level API
- Pre-built layers
- Model serialization
Weka Pricing
Model: open-source
- All ML algorithms
- GUI and CLI
- Java API
Pros and Cons
Keras
Pros
- Highly rated by users (4.6/5)
- Free plan available to get started
- Available on 3 platforms (Linux, Mac, Windows)
- Rich feature set with 11+ capabilities
- Strong Sequential and Functional API functionality
- Strong Pre-built neural network layers functionality
Cons
- May require time to learn advanced features
Weka
Pros
- Highly rated by users (4.1/5)
- Free plan available to get started
- Available on 3 platforms (Linux, Mac, Windows)
- Rich feature set with 11+ capabilities
- Strong Classification functionality
- Strong Regression functionality
Cons
- May require time to learn advanced features
Who Should Use Keras vs Weka?
Choose Keras if you:
- Need Sequential and Functional API
- Want to start for free
- Work primarily on Linux and Mac
- Value Pre-built neural network layers
Choose Weka if you:
- Need Classification
- Want to start for free
- Work primarily on Linux and Mac
- Value Regression
Frequently Asked Questions: Keras vs Weka
Is Keras better than Weka?
It depends on your needs. Keras has a 4.6/5 user rating while Weka has 4.1/5. Keras excels in Sequential and Functional API and Pre-built neural network layers, while Weka stands out with Classification and Regression. Consider your budget (Free vs Free), platform needs, and specific feature requirements.
Which is cheaper, Keras or Weka?
Keras offers a free plan and starts at Free. Weka offers a free plan and starts at Free. Compare the specific plan features to determine the best value for your use case.
Can I use Keras and Weka together?
While both are machine learning & data science tools, some teams use complementary software together. Check each product's API and integration capabilities for compatibility. However, most users find that one solution covers their core machine learning & data science needs.
What are the main differences between Keras and Weka?
The key differences include: pricing model (open-source vs open-source), platform support (Linux, Mac, Windows vs Linux, Mac, Windows), and feature focus. Keras emphasizes Sequential and Functional API, Pre-built neural network layers, Model training and evaluation while Weka focuses on Classification, Regression, Clustering. User ratings differ slightly: 4.6 vs 4.1 out of 5.
Ready to choose?
Explore detailed reviews, user ratings, and pricing for both Keras and Weka.