Frontend Frameworks

oya-ann

A lightweight artificial neural network library for JavaScript

Status
UnmaintainedNo commits in 690 days.
Last checked
Aging · Sep 1, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Oya-ann is a pure JavaScript artificial neural network library that allows developers to build and train models directly in the browser or on the server. It's ideal for projects requiring deep learning capabilities without external dependencies.

Oya-ann stands out for its simplicity and pure JavaScript approach, making it ideal for educational purposes and lightweight projects without external dependencies.

When it fits — and when it doesn’t

A good fit for

  • Developers who need a lightweight, pure JavaScript solution for neural networks in browser or server-side projects

  • Educators and students looking to understand deep learning through hands-on implementation

Look elsewhere if

  • Projects requiring high-performance GPU acceleration as oya-ann is CPU-based

  • Large-scale production applications where performance optimization is critical

Known weaknesses

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

  1. 01

    Limited performance for complex models

    Pure JavaScript implementation may not be optimized for heavy computations compared to native libraries or WebAssembly

  2. 02

    Small community and limited third-party support

    GitHub repository has low activity with few contributors and limited documentation examples

What it does well

  • Pure JavaScript implementation for browser and server-side use

  • Supports various activation functions, loss functions, and optimization algorithms

  • Lightweight with minimal dependencies

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 oya-ann

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

Open the setup guide →