edward
The premium Open Source alternative to Stan
🎯 Best for:Researchers building scalable Bayesian neural networks
What is edward?
Replaces Stan and proprietary Bayesian modeling software for deep learning. Enables deep generative modeling and variational inference using scalable computational graphs.
Tech Stack
Jupyter NotebookMathematics & Statistics
Why edward?
- • High-performance GPU support
- • Flexible model composition
- • Deep learning integration
Limitations
- • Steep learning curve
- • Merged into TensorFlow Probability
- • Complex debugging
2/26/2026
Last Update
745
Forks
219
Issues
Other
License
Financial Leak Detected
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Your team could be burning cash. Switching to edward instantly boosts your runway.
Competitor Cost
-$1,440
/ year (est. based on Stan)
Self-Hosted
$0
/ year
Team Size10 Users
150+
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