Neurotic

What it is

Neurotic is a lightweight JavaScript library that allows developers to build and train neural networks directly in the browser or on the server. It's ideal for those who want to integrate machine learning capabilities into their web applications without relying on external services.

Neurotic stands out by offering a lightweight JavaScript library for neural networks, making it easy to integrate ML capabilities directly into web applications without the need for external services or complex setups.

When it fits — and when it doesn’t

Known weaknesses

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

1. 01

   Limited advanced neural network architectures

   Neurotic primarily supports basic feedforward networks, lacking support for more complex architectures like CNNs or RNNs.

2. 02

   Performance limitations for large datasets

   Running computations in the browser can be slow and resource-intensive, especially with larger datasets or more complex models.

3. 03

   Small community and limited documentation

   The library has a small user base which results in fewer contributions, bug fixes, and less comprehensive documentation compared to larger frameworks like TensorFlow.js.

4. 04

   No GPU acceleration support

   All computations are performed on the CPU, which can be inefficient for large-scale training tasks that would benefit from GPU acceleration.

What it does well

• Lightweight and easy to integrate into web applications.

• Supports training neural networks directly in the browser or on the server.

• No external dependencies required for basic functionality.

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.