---
title: node-fann Reviews
meta_title: 'node-fann Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 12 reviews by the users' company size, role or industry to
  find out how node-fann works for a business like yours.
aggregate_rating:
  rating_value: 4.2
  review_count: 12
  scale: '5'
date_modified: '2026-06-21'
parent_category:
  name: Deep Learning
  url: https://www.g2.com/categories/deep-learning
---

# node-fann Reviews
**Vendor:** node-fann  
**Category:** [Artificial Neural Network Software](https://www.g2.com/categories/artificial-neural-network)  
**Average Rating:** 4.2/5.0  
**Total Reviews:** 12
## About node-fann
FANN (Fast Artificial Neural Network Library) is a free open source neural network library, which implements multilayer artificial neural networks with support for both fully connected and sparsely connected networks.




## node-fann Reviews
  ### 1. Worst Integration, and Less User Friendly

**Rating:** 3.0/5.0 stars

**Reviewed by:** Justin J. | Lan Administrator, Individual & Family Services, Small-Business (50 or fewer emp.)

**Reviewed Date:** December 19, 2023

**What do you like best about node-fann?**

It is not as crowded as some communities it creates a poor atmosphere. As someone who does not frequently use JavaScript, I did not have experience but I discovered that node fann is not straightforward to use.

**What do you dislike about node-fann?**

The fact that it is not free provides a disadvantage. I am not satisfied with the performance of node fann. Node FANN is a library for integrating networks into collaborative platforms. It lacks documentation and examples, which make it difficult for beginners to grasp.

**What problems is node-fann solving and how is that benefiting you?**

The absence of community support makes troubleshooting issues more difficult. Node fann is unable to solve the problem of developing accurate neural networks, in Node.js. It has disturbed our business by lacking us to implement machine learning algorithms resulting in poor analysis and decision making capabilities.

  ### 2. Empowering Neural Network Development: Unleashing the Potential of the FANN

**Rating:** 4.5/5.0 stars

**Reviewed by:** Ritik S. | Full-stack Developer, Small-Business (50 or fewer emp.)

**Reviewed Date:** November 24, 2023

**What do you like best about node-fann?**

> Easy to implement and integerate.
> Documentation is user friendly, unlike other libraries its very well takes you through.
> Cross-platform provides dynamic usage.
> Pre examples are provided for new people, a life saving option.
> Cache optimizing is provided.

**What do you dislike about node-fann?**

> Community is still young and growing, but sometimes feels little less crowded. 
> I faced some performance issues during

**What problems is node-fann solving and how is that benefiting you?**

> Reliable Node support helps in continuous integeration.
> Open source helps community growth and motivates people.
> Backpropagation training is easy.
> Various activation functions available.

  ### 3. Best Valuable Open-Source Artificial Intelligence Library

**Rating:** 4.5/5.0 stars

**Reviewed by:** vijay b. | Software Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** December 10, 2023

**What do you like best about node-fann?**

This is the best Free Open-Source Neural Network Library. And It's easy to Install and use. Using this our team leverages the power of neural networks for tasks such as pattern recognition and machine learning directly within a node js environment.

**What do you dislike about node-fann?**

First of all, you should have some knowledge of the neural network. And the second missing thing is the documentation of this library is not good according to my knowledge.

**What problems is node-fann solving and how is that benefiting you?**

There are so many benefits of using node fann.
Our Company works on the JAVASCRIPT Language. And This Library gives us proper Node JS Integration. And This library leverages the strengths of both node js and neural networks.
FANN is Best for real-time applications Like Recognization Systems.

  ### 4. Good neural network development - node fann

**Rating:** 4.0/5.0 stars

**Reviewed by:** Hirday J. | Senior Credit Risk Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** December 06, 2023

**What do you like best about node-fann?**

whatI like best about node- fann is that its free, efficent, user friendy, access to FANN, reliable easy to implement, multilayer artificial neural networks and great customer support team.

**What do you dislike about node-fann?**

So far its runs fine as it free. So I can't complaint about it, however there is always room for improvement.

**What problems is node-fann solving and how is that benefiting you?**

It's allows users familiar with Javascript to have access to FANN

  ### 5. One of the more complex yet user friendly neural networks

**Rating:** 4.0/5.0 stars

**Reviewed by:** Emily S. | Scientist, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 24, 2023

**What do you like best about node-fann?**

This neural network is the only on e I know of that works with Node, which in turn allows users familiar with Javascript to have access to a FANN

**What do you dislike about node-fann?**

Personally I dont' use Javascript all that often so I don't have too much experience

**What problems is node-fann solving and how is that benefiting you?**

Working in biotech there's a lot of protein based issues we face in regards to formulation and folding. Node-FANN helps to intergrate what we know into a collaborative platform for user of Javascript and other languages alike

  ### 6. I love the userfriendliness and mamy optionds

**Rating:** 5.0/5.0 stars

**Reviewed by:** David D. | Nezávislý podnikatel, Small-Business (50 or fewer emp.)

**Reviewed Date:** October 18, 2023

**What do you like best about node-fann?**

User experience and reliability. The design of rte frontend.

**What do you dislike about node-fann?**

There is nothing I dislike. Might be the yput advertise themself better.

**What problems is node-fann solving and how is that benefiting you?**

Working with databases

  ### 7. Open-Source neural network library

**Rating:** 4.0/5.0 stars

**Reviewed by:** Yash S. | IAM Consultant, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 11, 2023

**What do you like best about node-fann?**

It's a free, open-source neural network library that implements multilayer artificial neural networks with support for fully and sparsely connected networks.

**What do you dislike about node-fann?**

A person with less experience in neural network will find it difficult to use.

**What problems is node-fann solving and how is that benefiting you?**

I implemented the node-fann in one of my projects, and it is very reliable, and the performance was great. Its decision-making is much faster.

  ### 8. Unleash the Power of Neural Networks with node-fann

**Rating:** 4.0/5.0 stars

**Reviewed by:** ADITHYAN S. | Software Developer, Banking, Small-Business (50 or fewer emp.)

**Reviewed Date:** January 15, 2023

**What do you like best about node-fann?**

I started using node-fann because it's free. But now I'm deeply comfortable with node-fann. We have been using node-fann for the past few months. node-fann is efficient and user-friendly, making it a great choice for us to implement artificial neural networks in our Node.js projects. Its initial installation was simple; we haven't faced any issues.

**What do you dislike about node-fann?**

We faced issues while installing node-fann in an old system. How ever it has no issues with new systems. Despite some minor limitations, Node-FANN is a highly effective library

**What problems is node-fann solving and how is that benefiting you?**

It's saving lots of time for our team. I don't know at what stage we will be if we didn't find node-fann. We started using  node-fann because it's free. We are satisfied with this library. I highly recomend everyone to try this library atleast ones.

  ### 9. Good Artificial Network Binding for Node.js

**Rating:** 4.5/5.0 stars

**Reviewed by:** Balanath K. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 27, 2023

**What do you like best about node-fann?**

it is a GitHub-based repository, And it is open source. Installation and configuring the fann package is effortless. We are impressed with its output performance.

**What do you dislike about node-fann?**

There aren't many things I dislike about Nodefan because it is free and open source, and it performs well.

**What problems is node-fann solving and how is that benefiting you?**

Multilayer artificial neural networks for both connected and weakly connected networks.

  ### 10. Best Fast Artificial Neural Network Library

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.)

**Reviewed Date:** September 13, 2022

**What do you like best about node-fann?**

Very easy to install and use. Can be implemented using very few lines of code and is easy to train the model as well. Simple code to do complex things. Loved it

**What do you dislike about node-fann?**

Sometimes when I had install it on different machines it used to give me installation errors maybe that particular release was not bundled properly. And having an API documentation would be more helpful.

**What problems is node-fann solving and how is that benefiting you?**

It implements multilayer artificial neural networks with support for fully connected and sparsely connected networks. It helps me reduce time and is good at what it does.

  ### 11. implements multi-layer artificial neural networks with support for both full connected.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Krishan K. | Small-Business (50 or fewer emp.)

**Reviewed Date:** September 10, 2020

**What do you like best about node-fann?**

The free open-source neural network library.

**What do you dislike about node-fann?**

You should have some knowledge about the neural networks before using it.

**Recommendations to others considering node-fann:**

When you have to implement multilayer artificial neural networks you should use it it supports both connected and sparsely connected networks. This npm package was very easy to use. If you have simple knowledge about the neural network you can integrate it in a very effective way and use it in a very optimized way. I recommend each and everyone who worked on a node should use it while working on artificial neural networks.

**What problems is node-fann solving and how is that benefiting you?**

Multilayer support for both fully and sparsely connected networks.

  ### 12. Great product 

**Rating:** 4.0/5.0 stars

**Reviewed by:** Clayton A. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 14, 2018

**What do you like best about node-fann?**

We started using this late last year and now can’t love without it. 

**What do you dislike about node-fann?**

So far it works great. It can be a little clunky at times but overall I love it. 

**What problems is node-fann solving and how is that benefiting you?**

It helps everyone get on the same page. 


## node-fann Discussions
  - [What is node-fann used for?](https://www.g2.com/discussions/what-is-node-fann-used-for)

- [View node-fann pricing details and edition comparison](https://www.g2.com/products/node-fann/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-22+15%3A48%3A40+-0500&secure%5Bsession_id%5D=4dd514b5-732f-43f8-90bc-f64f3b88e383&secure%5Btoken%5D=68bc6a565e6ecdaae8e3009b178e6c78061e797cad25fe960beaabc05153228a&format=llm_user)

## node-fann Features
**Core Functionality - Artificial Neural Network**
- Neural Network Training
- Neural Network Testing
- Model Evaluation
- Compliance

**Data Handling - Artificial Neural Network**
- Data Integration
- Data Preprocessing

**Performance - Artificial Neural Network**
- Model Optimization
- Scalability

**Usability - Artificial Neural Network**
- User Interface
- Documentation & Support
- Customizability

**Advanced Features - Artificial Neural Network**
- Deep Learning Capabilities
- Transfer Learning
- Real-Time Processing
- Automated Model Tuning
- Visualization Tools

**Agentic AI - Artificial Neural Network**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

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