# DeepPy Reviews **Vendor:** DeepPy **Category:** [Image Recognition Software](https://www.g2.com/categories/image-recognition) **Average Rating:** 4.1/5.0 **Total Reviews:** 12 ## About DeepPy DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming based on NumPy's ndarray,has a small and easily extensible codebase, runs on CPU or Nvidia GPUs and implements the following network architectures feedforward networks, convnets, siamese networks and autoencoders. ## DeepPy Reviews ### 1. It has been useful for me to create desktop applications in a faster and more immediate way. **Rating:** 4.0/5.0 stars **Reviewed by:** Miles P. | software developer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 14, 2021 **What do you like best about DeepPy?** What I like the most about DeepPy is its simplicity and ease of use at all times, which allows me to carry out my programs in a much faster and more practical way, the quality of the documentation for users that it has is very high quality, in fact this allowed me to learn to use the tool without so many complications and to start programming in a much more fluid and fast way, as far as performance of the framework is concerned, the application is really quite fluid, its ease of installation is also a big point in its favor, since that way I don't have to wait so long to configure everything to work perfectly. **What do you dislike about DeepPy?** The fact that there are few developers using this application makes it a tool that does not have a solid community and that serves as support in case of having a problem, so in many cases we can take a long time trying to solve any problem that may arise. **What problems is DeepPy solving and how is that benefiting you?** It has been quite useful and practical for me when designing software and applications in a much simpler and more practical way so that I can make my applications in a much simpler way, it has been especially useful for creating applications desktop in a much faster and immediate way. ### 2. DeepPy - must have tool for deep learning researchers **Rating:** 4.5/5.0 stars **Reviewed by:** Sumit G. | Software Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** August 11, 2019 **What do you like best about DeepPy?** It is easy to use, quick installation, good documentation, and fast. **What do you dislike about DeepPy?** Less community use and thus it is difficult to find answers to many questions related to DeepPy. Stackoverflow have less number of questions. Also the Gitter DeepPy doesn't have a lot of discussion. This will be resolved once it gets more adaption in the research community. **Recommendations to others considering DeepPy:** Expect a fast deep learning library in Python. Be prepared to export models to be used in production using other techniques. **What problems is DeepPy solving and how is that benefiting you?** I use it as a learning tool for doing my deep learning research. I solved digit recognition, image recognition, basic classification etc. ### 3. Efficient Deep Learning library **Rating:** 4.0/5.0 stars **Reviewed by:** Mahmoud M. | Software Developer, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** August 12, 2019 **What do you like best about DeepPy?** Good documentation, easy to use , feedforward networks, efficient data coding by specific autoencoders, its fast enough. **What do you dislike about DeepPy?** There is not a lot of resources for this API, developers need to update it sooner, poor community. **Recommendations to others considering DeepPy:** it really helped in feed forwarding network implementation. **What problems is DeepPy solving and how is that benefiting you?** Image Processing and classification. ### 4. Good to have some help **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Gambling & Casinos | Small-Business (50 or fewer emp.) **Reviewed Date:** August 16, 2019 **What do you like best about DeepPy?** It’s very simple to use given the complex functions i used to run **What do you dislike about DeepPy?** So far nothing ... the starting part was a bit hard but once you get your hands dirty then its okay **What problems is DeepPy solving and how is that benefiting you?** I use it as a learning tool for doing basic classification on images. I.e Supervised Learning of objects in a house ### 5. Deep Learning with Python **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Information Services | Enterprise (> 1000 emp.) **Reviewed Date:** August 31, 2019 **What do you like best about DeepPy?** Easy to install and use & includes mostly all basic python libraries **What do you dislike about DeepPy?** Implementation & steps to use. Developers need to update it sooner, poor community **What problems is DeepPy solving and how is that benefiting you?** Image classifier & NLP task ### 6. so long no update **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** August 10, 2019 **What do you like best about DeepPy?** there is no update for so long I used this library for image classification long time ago **What do you dislike about DeepPy?** there is no update and also poor support for the product **Recommendations to others considering DeepPy:** improve support **What problems is DeepPy solving and how is that benefiting you?** simple image classification https://andersbll.github.io/deeppy-website/examples/mlp_mnist.html ### 7. I liked using DeepPy for ML **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Biotechnology | Small-Business (50 or fewer emp.) **Reviewed Date:** August 13, 2019 **What do you like best about DeepPy?** Good example on the internet to run an ML project **What do you dislike about DeepPy?** It is old fashion. It would be much better if It had more feature for visualization **What problems is DeepPy solving and how is that benefiting you?** I solved a classification problem ### 8. A Python Deep Learning Library **Rating:** 5.0/5.0 stars **Reviewed by:** Rayan V. | Senior Software Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** October 31, 2017 **What do you like best about DeepPy?** - Easy to install and use. - Support for basic python libraries which are very much helpful in Data Science like NumPy. **What do you dislike about DeepPy?** - Documentation can be improved. - No proper explanations provided for using API, becomes difficult for a learner. **Recommendations to others considering DeepPy:** There is an example section provided at the main web page of DeepPy: https://andersbll.github.io/deeppy-website/ , implement one or two then try to make a simple model. It will really help to get control over DeepPy. **What problems is DeepPy solving and how is that benefiting you?** - Have built a whole image recognition project totally based on DeepPy at core. - Also implemented some basic projects based on Deep Learning. ### 9. Deep Learning with Python **Rating:** 5.0/5.0 stars **Reviewed by:** Jaykishan B. | Software Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** October 31, 2017 **What do you like best about DeepPy?** - Support Feedforward networks and Convnets, really makes most of your task easy. - There is a whole example of Image Classification with Convnets, helped a lot to build my own. **What do you dislike about DeepPy?** - Very helpful library but lacks in proper documentation and tutorials. **Recommendations to others considering DeepPy:** Checkout this Image Classification example using DeepPy: https://andersbll.github.io/deeppy-website/examples/convnet_mnist.html , before you build your own. **What problems is DeepPy solving and how is that benefiting you?** - Build many models based on Feedforward networks and Convnets. - Developed Image Classification and Recognition model from scratch and just using DeepPy. ### 10. DeepPy - A Deep Learning library in python **Rating:** 5.0/5.0 stars **Reviewed by:** Tejasvini V. | Software Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** October 31, 2017 **What do you like best about DeepPy?** - Implementation of Deep Learning algorithms becomes very easy with DeepPy. - It also supports Convnets, Siamese networks and Autoencoders. **What do you dislike about DeepPy?** Documentation is not that well. It becomes difficult for a beginner developer to understand. **Recommendations to others considering DeepPy:** Many examples are given in the documentation: https://andersbll.github.io/deeppy-website/examples/index.html , try them to learn the basics before you start developing your own models. **What problems is DeepPy solving and how is that benefiting you?** We have developed Deep Learning (mainly image classification) models using DeepPy which were later used in many applications and software. ### 11. Deeply implemented Deep Learning library for python **Rating:** 5.0/5.0 stars **Reviewed by:** Rahul T. | Project Manager, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** October 23, 2017 **What do you like best about DeepPy?** - Support for NumPy ndarrays. - The example section: http://andersbll.github.io/deeppy-website/examples/index.html first and foremost place to get handy with DeepPy - Great support for already implemented network architectures like feedforward networks, convnets and siamese networks. **What do you dislike about DeepPy?** - Documentation is not enough for new programmer in Deep Learning. - No sufficient tutorials available. **Recommendations to others considering DeepPy:** Start with example section: http://andersbll.github.io/deeppy-website/examples/index.html if you are new to Deep Learning or python. **What problems is DeepPy solving and how is that benefiting you?** Developing products based on Deep Learning algorithms and image recognition. ### 12. Efficient learning **Rating:** 3.5/5.0 stars **Reviewed by:** Geoffrey F. | Research Assistant, Higher Education, Mid-Market (51-1000 emp.) **Reviewed Date:** December 13, 2017 **What do you like best about DeepPy?** ease of implementation, it took very little effort to get it up and running **What do you dislike about DeepPy?** rigidity of design makes optimization difficult **What problems is DeepPy solving and how is that benefiting you?** NLP, information extraction, proper classification of semantic relationships ## DeepPy Discussions - [What is DeepPy used for?](https://www.g2.com/discussions/what-is-deeppy-used-for) - [View DeepPy pricing details and edition comparison](https://www.g2.com/products/deeppy/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-13+10%3A18%3A05+-0500&secure%5Bsession_id%5D=13ebf248-4099-496d-8c1b-7cac6f294e4d&secure%5Btoken%5D=56a1b99885e5dd9f468f62e28603ce1dc60a5b52c0363cad2cd8dafa065d15c2&format=llm_user) ## DeepPy Features **Recognition Type** - Emotion Detection - Object Detection - Text Detection - Motion Analysis - Scene Reconstruction - Logo Detection - Explicit Content Detection - Video Detection **Core Functionality - Artificial Neural Network** - Neural Network Training - Neural Network Testing - Model Evaluation - Compliance **Facial Recognition** - Facial Analysis - Face Comparison **Data Handling - Artificial Neural Network** - Data Integration - Data Preprocessing **Labeling** - Model Training - Bounding Boxes - Custom Image Detection **Performance - Artificial Neural Network** - Model Optimization - Scalability **Deployment** - Integrations **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 DeepPy Alternatives - [Claude](https://www.g2.com/products/claude-2025-12-11/reviews) - 4.6/5.0 (232 reviews) - [OpenCV](https://www.g2.com/products/opencv/reviews) - 4.5/5.0 (40 reviews) - [Roboflow](https://www.g2.com/products/roboflow/reviews) - 4.7/5.0 (143 reviews)