Brainstorm

Fast, flexible and fun neural networks for deep learning.

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

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

Strength Radar

Successor to PyB…Flexible archite…Optimized for sp…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Successor to PyBrain with enhanced features and performance.

Flexible architecture for experimenting with various neural network models.

Optimized for speed, making it suitable for large-scale projects.

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

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with Brainstorm

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →