Brainstorm
Fast, flexible and fun neural networks for deep learning.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is Brainstorm?
Brainstorm is a successor to PyBrain, offering fast, flexible, and enjoyable development of neural network models. It's ideal for researchers and developers looking for an efficient framework to build and experiment with deep learning architectures.
Key differentiator
“Brainstorm stands out with its focus on flexibility and speed, making it an ideal choice for researchers and developers who need to experiment extensively with neural network architectures without compromising on performance.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Official documentation lacks detailed guides on complex model configurations
Benchmark tests show slower processing times compared to TensorFlow for datasets over 10GB
Fit analysis
Who is it for?
✓ Best for
Researchers who need a flexible framework to experiment with different neural network architectures.
Developers working on projects that require high performance and speed in training models.
✕ Not a fit for
Projects requiring real-time model inference, as Brainstorm is optimized for training rather than deployment.
Teams looking for a cloud-based service or platform for deep learning.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Next step
Get Started with Brainstorm
Step-by-step setup guide with code examples and common gotchas.