--- title: Neuroph Reviews meta_title: 'Neuroph Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter reviews by the users' company size, role or industry to find out how Neuroph works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 6 scale: '5' date_modified: '2025-10-30' parent_category: name: Deep Learning url: https://www.g2.com/categories/deep-learning --- # Neuroph Reviews **Vendor:** Neuroph **Category:** [Artificial Neural Network Software](https://www.g2.com/categories/artificial-neural-network) **Average Rating:** 4.6/5.0 **Total Reviews:** 6 ## About Neuroph Neuroph is lightweight Java neural network framework that develop common neural network architectures, it contains well designed, open source Java library with small number of basic classes which correspond to basic NN concepts and has s GUI neural network editor to quickly create Java neural network components. ## Neuroph Reviews ### 1. Neuroph: Neural Nework Framework **Rating:** 5.0/5.0 stars **Reviewed by:** Shringarika J. | Data and QC Officer, Enterprise (> 1000 emp.) **Reviewed Date:** January 12, 2023 **What do you like best about Neuroph?** 1. It has the best Java library that too is open source. 2. Java library is well designed with small open classes. 3. Its user interface is easier to use. 4. Creation of Java neural network is quick. **What do you dislike about Neuroph?** 1. Despite the user-friendly interface, it is somewhat flawed and shows technical glitches during use. 2. Creation of Java network is not smooth working and lags sometimes. 3. It also consumes more data than any other software that works on the same configuration. **What problems is Neuroph solving and how is that benefiting you?** It provides more intelligence to the computer and makes it smooth and easier to work. It cuts off the labor work and time. So, I find it more efficient to work with ### 2. Great multi-layer neural network Java Framework **Rating:** 4.0/5.0 stars **Reviewed by:** Rohit M. | Data Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** May 26, 2023 **What do you like best about Neuroph?** - Offer an IDE where one can smoothly configure their neural network. - Options to choose the learning algorithm of your choice. **What do you dislike about Neuroph?** - Does not support CNN. - Lacks backward compatibility. **What problems is Neuroph solving and how is that benefiting you?** - Cuts down on development time and improves efficiency. - The learning curve is very minimal, even if you're a beginner. - BUilding custom applications ### 3. Amazing Java based Neural Network framework **Rating:** 4.5/5.0 stars **Reviewed by:** Eshani A. | Student, Small-Business (50 or fewer emp.) **Reviewed Date:** October 05, 2022 **What do you like best about Neuroph?** It has a nice well desgined Artificial Neural Network framework written in open source Java which is very lightweight with easy-to-use classes for basic NN concepts. **What do you dislike about Neuroph?** There is a lack of backward compatibility, which requires rewriting of libraries if one wishes to use the updated or added features in the new release and need to keep it compatible with related libraries. **What problems is Neuroph solving and how is that benefiting you?** It simplifies the development of neural network development in Java. Its interactive GUI helps to create components quickly. It really helped me as a beginner in Java Neural network developer to quicky try out how things are working. ### 4. A java framework to use multi layer neural network **Rating:** 4.5/5.0 stars **Reviewed by:** Abhuday T. | Assistant Professor, Mid-Market (51-1000 emp.) **Reviewed Date:** October 08, 2022 **What do you like best about Neuroph?** It provides IDE where we can easily configure our neural network and choose the learning algorithm without worrying about the code. It also offers different types of neural network architecture. **What do you dislike about Neuroph?** It would be great if it started supporting CNN. **What problems is Neuroph solving and how is that benefiting you?** It is helping me in explaining the fundamentals of neural networks and their application to the students. We have also built custom applications using the different architecture and learning techniques like backpropagation,hopfield,RBF learning etc., provided by the framework. ### 5. Great Software so far! **Rating:** 4.5/5.0 stars **Reviewed by:** Jeneen R. | Case Investigator, Mid-Market (51-1000 emp.) **Reviewed Date:** October 18, 2022 **What do you like best about Neuroph?** I like how the software allows multiple people to work on it without encountering any glitches. **What do you dislike about Neuroph?** There is nothing I dislike about this software. It is a great platform. **What problems is Neuroph solving and how is that benefiting you?** It is making my life easier by allowing me to input multiple data and not worry about organizing it. Neuroph secures and organizes the data. ### 6. Neural Networks Hero **Rating:** 5.0/5.0 stars **Reviewed by:** Vikas M S. | Service Project Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** October 06, 2022 **What do you like best about Neuroph?** User friendly GUI to create and train neural networks without the complication of theiry and implementation **What do you dislike about Neuroph?** There is no such problem we found with This tool till now **What problems is Neuroph solving and how is that benefiting you?** We utilized this solution to develop neural networks for our project - [View Neuroph pricing details and edition comparison](https://www.g2.com/products/neuroph/reviews?section=pricing&secure%5Bexpires_at%5D=2026-07-03+03%3A46%3A08+-0500&secure%5Bsession_id%5D=99f5ba35-e666-401f-9a3e-dc49478cb602&secure%5Btoken%5D=b6dc4721b81055d351837c80bfcd55dfce495066555df6bb5c8d78e506e3fc44&format=llm_user) ## Neuroph 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 ## Top Neuroph Alternatives - [Keras](https://www.g2.com/products/keras/reviews) - 4.6/5.0 (64 reviews) - [AIToolbox](https://www.g2.com/products/aitoolbox/reviews) - 4.4/5.0 (35 reviews) - [NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/products/nvidia-deep-learning-gpu-training-system-digits/reviews) - 4.5/5.0 (22 reviews)