Nn
Neural network modules for ts-torch, TypeScript-friendly deep learning library.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Nn?
Provides neural network modules specifically designed to work with the ts-torch framework, enabling developers to build and train models in a type-safe environment. Ideal for projects requiring robust type checking and integration within TypeScript applications.
Key differentiator
“Provides a unique TypeScript-centric approach to deep learning, offering type safety and seamless integration with existing TypeScript applications.”
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
Currently lacks native support for popular TypeScript-specific tools like RxJS or NestJS
GitHub issues have low engagement and infrequent updates from maintainers
Fit analysis
Who is it for?
✓ Best for
TypeScript developers building deep learning projects who need type safety
Teams working on complex TypeScript applications requiring integration of neural networks
Projects where robust type checking is critical for model development and deployment
✕ Not a fit for
Developers preferring dynamic languages like Python or JavaScript without strong typing
Projects that require extensive GPU support beyond what ts-torch offers
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 Nn
Step-by-step setup guide with code examples and common gotchas.