Model Hubs & Serving

Nn

Neural network modules for ts-torch, TypeScript-friendly deep learning library.

Status
Generally available
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier · from $0

What it is

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.

Provides a unique TypeScript-centric approach to deep learning, offering type safety and seamless integration with existing TypeScript applications.

When it fits — and when it doesn’t

A good fit 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

Look elsewhere if

  • Developers preferring dynamic languages like Python or JavaScript without strong typing

  • Projects that require extensive GPU support beyond what ts-torch offers

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited integrations with other TypeScript libraries and frameworks

    Currently lacks native support for popular TypeScript-specific tools like RxJS or NestJS

  2. 02

    Small community, leading to slower issue resolution and feature requests

    GitHub issues have low engagement and infrequent updates from maintainers

What it does well

  • Type-safe neural network modules

  • Integration with ts-torch for seamless development

  • Supports various deep learning architectures

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Nn

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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