Weka vs Keras
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 Weka if you need Classification and prefer a free starting option. Choose Keras if you prioritize Sequential and Functional API and want a free tier to start. Keras has a higher user rating (4.6 vs 4.1).
Weka vs Keras: At a Glance
Feature Comparison: Weka vs Keras
| Feature | Weka | Keras |
|---|---|---|
| Classification | ||
| Regression | ||
| Clustering | ||
| Association rules | ||
| Feature selection | ||
| Java | ||
| R | ||
| Python | ||
| Linux support | ||
| Mac support | ||
| Windows support | ||
| Sequential and Functional API | ||
| Pre-built neural network layers | ||
| Model training and evaluation | ||
| Transfer learning | ||
| Model serialization | ||
| TensorFlow | ||
| JAX | ||
| PyTorch |
Weka vs Keras: Pricing Breakdown
Weka Pricing
Model: open-source
- All ML algorithms
- GUI and CLI
- Java API
Keras Pricing
Model: open-source
- High-level API
- Pre-built layers
- Model serialization
Pros and Cons
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
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
Who Should Use Weka vs Keras?
Choose Weka if you:
- Need Classification
- Want to start for free
- Work primarily on Linux and Mac
- Value Regression
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
Frequently Asked Questions: Weka vs Keras
Is Weka better than Keras?
It depends on your needs. Weka has a 4.1/5 user rating while Keras has 4.6/5. Weka excels in Classification and Regression, while Keras stands out with Sequential and Functional API and Pre-built neural network layers. Consider your budget (Free vs Free), platform needs, and specific feature requirements.
Which is cheaper, Weka or Keras?
Weka offers a free plan and starts at Free. Keras 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 Weka and Keras 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 Weka and Keras?
The key differences include: pricing model (open-source vs open-source), platform support (Linux, Mac, Windows vs Linux, Mac, Windows), and feature focus. Weka emphasizes Classification, Regression, Clustering while Keras focuses on Sequential and Functional API, Pre-built neural network layers, Model training and evaluation. User ratings differ slightly: 4.1 vs 4.6 out of 5.
Ready to choose?
Explore detailed reviews, user ratings, and pricing for both Weka and Keras.