--- title: "Keras Software Pricing, Alternatives & More 2026 | Capterra" description: "With the help of Capterra, learn about Keras Software - reviews, pricing plans, popular comparisons to other Deep Learning products and more." source_url: "https://www.capterra.com/p/171047/Keras/" page_type: "product" language: "en" publication_date: "2026-10-21" --- # Keras Software Review 2026: Features, Integrations, Pros & Cons Last updated on October 21, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[Features](#features)[Pricing](#pricing)[Support](#support)[Reviews](#reviews) Keras ## What is Keras? Keras is an open-source deep learning framework written in Python that provides a high-level neural network API to enable fast experimentation and easy transition from research prototype to production. The user-friendly API of Keras makes it simple to quickly prototype, train, and deploy neural network and deep learning models across a variety of platforms including TensorFlow, JAX, and PyTorch. ## What is Keras used for? [Deep Learning](https://www.capterra.com/deep-learning-software/) Top alternative Featured Overall rating Based on 40 user reviews Reviews sentiment Positive 98% Neutral 3% Negative 0% Contact vendor for pricing Free trial not available Free version not included Capterra Shortlist charts the highest-rated and most popular products... Our "Best of" badge program showcases products with the highest ratings... Our "Best of" badge program showcases products with the highest ratings... Do you work for Keras?[Manage this product listing](https://www.g2.com/products/keras/claim_requests/new?auto=true) ## Compare with a popular alternative Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status. ### Keras 4.6 (40) VS. [4.4 (12)](https://www.capterra.com/p/10004983/SAS-Viya/#reviews) Starting Price Contact vendor Starting Price Contact vendor Free Trial Free Version Pricing Options Free Trial Free Version Ease Of Use 4.5 (40) Ease Of Use 4.1 (169) Value For Money 4.5 (27) Value For Money 3.7 (107) Customer Service 4.2 (27) Customer Service 3.9 (95) ## Keras alternatives [Wolfram Mathematica](https://www.capterra.com/p/171048/Wolfram-Mathematica/) [4.6 (169)](https://www.capterra.com/p/171048/Wolfram-Mathematica/reviews/) Starting price $335.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 95% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/171048/Wolfram-Mathematica/) [DataRobot](https://www.capterra.com/p/179303/DataRobot/) [4.8 (5)](https://www.capterra.com/p/179303/DataRobot/#reviews) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 100% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/179303/DataRobot/) [H2O](https://www.capterra.com/p/158760/H2O/) [4.6 (10)](https://www.capterra.com/p/158760/H2O/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 100% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/158760/H2O/) Highest Rated [Prime AI](https://www.capterra.com/p/197586/Prime-AI/) [4.8 (20)](https://www.capterra.com/p/197586/Prime-AI/reviews/) Starting price $30.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 100% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/197586/Prime-AI/) ## Features Document Classification 5.0 (2) 50.00% of 2 reviewers that rated this feature as important or highly important Assign categories, labels, tags, or attributes to documents for organization, search and storage Model Training 5.0 (2) 50.00% of 2 reviewers that rated this feature as important or highly important Process of testing an ML algorithm by feeding it training data to learn from Artificial Neural Networks 5.0 (1) 100.00% of 1 reviewers that rated this feature as important or highly important Networks with interconnected neural units, including MLPs, CNNs, DNNs, RNNs, etc. Visualization 4.0 (1) 100.00% of 1 reviewers that rated this feature as important or highly important Graphical representation of data or processes API Application programming interface that allows for integration with other systems/databases ML Algorithm Library Share, track, and store machine learning models and data. Keras 6 features ### All Features - API: Application programming interface that allows for integration with other systems/databases - Artificial Neural Networks: Networks with interconnected neural units, including MLPs, CNNs, DNNs, RNNs, etc. - Document Classification: Assign categories, labels, tags, or attributes to documents for organization, search and storage - ML Algorithm Library: Share, track, and store machine learning models and data. - Model Training: Process of testing an ML algorithm by feeding it training data to learn from - Visualization: Graphical representation of data or processes --- Features 4.3 (40) 4.3 Based on 40 reviews ## Pricing Value for money 4.5 (27) Value for money 4.5 (27) 4.5 Based on 27 reviews ## Support, customer service and training options Customer Service 4.2 (27) Support - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat Training - In Person - Live Online - Webinars - Documentation - Videos Deployment - Web - Android - iPhone/iPad Typical users - Freelancers - Small businesses - Mid size businesses - Enterprises Customer Service 4.2 (27) 4.2 Based on 27 reviews ## User reviews Overall rating 4.6 Based on 40 reviews Filter by rating Counts reflect reviews available in this feed. 5(26) 4(13) 3(1) 2(0) 1(0) Mentioned topic Recent reviews first, then most helpful Boluwatife O. Data Scientist | Analyst intern Used the software for: Less than 1 year ### "Great Deeplearning framework" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 3.0 3.0 Likelihood to Recommend 8/10 June 8, 2020 i use keras for image classification making use of it's pretrained architectures especially the resnet architectures. Pros What i love most about keras is it's wrapper functions, i use it to perform Gridsearch using scikitlearn and this is amazing as i cannot do this on other frameworks. keras also has a good documentation page with lots of pretrained CNN architectures for image classifications solutions. Cons Nothing to dislike about this framework yet. YA Youssef A. data scientist Used the software for: 3-5 years ### "Keras for deep learning " 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 4.0 4.0 Customer Service 5.0 5.0 Likelihood to Recommend 9/10 May 31, 2022 I did many deep learning projects using keras it is really helpful Pros easy to use, large communities and support Cons keras has many predefined methods and functions but it is difficult to integrate a custom class. RA Research Assistance Research Assistance Used the software for: Less than 1 year ### "Keras for school project" 3.0 April 15, 2019 Pros I did use this library couple of times during the semester to solve my deep learning course home works and project. compared to tensor flow it was easier for me to use Cons It was not still easy to use and well documented with examples AL Assistant Lecturer in Mechatronics Department Assistant Lecturer in Mechatronics Department Used the software for: Less than 1 year ### "What you need definitely to start your deep learning experiments" 5.0 July 29, 2019 I would defintely recommend it as the quickest step to start testing your model. Pros Keras is the only platform that runs on top of most popular backends like TensorFlow, pyTorch and Microsoft Cogntitive Toolkit. This gives great flexibility to researchers to try their network architecture with minimal changes across multiple libraries mentioned. The sequencing modularity is what makes you build sophisticated network with improved code readability . Cons If you encounter an error, it is hard to be debugged. Dvock A. Software Tester Used the software for: Less than 1 year ### "A Game-Changer in Deep Learning" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 9/10 June 22, 2023 In general, Keras has established itself as a go-to deep learning library for me as a beginner. Its user-friendly API, versatility, extensive documentation, strong community support, performance optimization, and modularity make it a standout choice in the field of deep learning. Pros One of the standout features of Keras is its user-friendly and intuitive API. It offers a high-level abstraction, making it incredibly easy to build and experiment with neural networks. Keras provides an excellent and intuitive experience, allowing me to focus on the core aspects of my models rather than getting pushed down by low-level implementation details. The versatility of Keras is another aspect that sets it apart. It supports both CPU and GPU computations, making it adaptable to various computing environments. Additionally, Keras seamlessly integrates with popular deep learning backends such as TensorFlow and Theano, providing access to an extensive collection of pre-trained models and advanced functionalities. Cons The only issue is lack of flexibility: Keras prioritizes ease of use and abstraction, which can sometimes come at the cost of flexibility. For researchers or practitioners who require fine-grained control over every aspect of their models, Keras may feel restrictive. Certain advanced customization options and low-level operations may not be as easily accessible within the high-level API. SE Software Engineer Software Engineer Used the software for: 3-5 years ### "Start Learning From Keras Framework" 4.0 Overall Rating 4.0 4.0 Ease of Use 5.0 5.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 10/10 March 10, 2021 I recommend it for performing image classification as it provides some inbuilt fucntionality for image preprocessing. It even comes with many usefull pre-trained models like resnet. Pros First thing i like about Keras is that it runs on the top of tensorflow background. Deep learning and neural network construction and visulaization is simple using Keras, also it comes with enough documentations. It provides lots of inbuilt functions for image processing which makes it lots easier for image classificaiton. Cons For building more customized deep learning model, you need to use TensorFlow. Also the model inferencing time is little slow compared to model directly build in TensorFlow. Moustafa Medhat A. Student Used the software for: 1-3 years ### "My Review of Keras" 4.0 Overall Rating 4.0 4.0 Ease of Use 3.0 3.0 Features 4.0 4.0 Customer Service 3.0 3.0 Likelihood to Recommend 6/10 June 16, 2022 My overall experience with Keras is quite good as it provides a variety of built-in functions. Pros I like that Keras can be used in servals areas as it combines a lot of built-in functions. I love the documentations that Keras provides for beginners and the community of Keras is very large and supportive. Also, It is open-source and provides different neural network models. Cons It is a little bit too hard to run Keras library on GPU instead of CPU in order to enhance the model training and reduce the time. Also, I don't like the large size of the pre-trained models that I get from Keras as they consume a lot of memory. Adam A. Principal Cofounder Used the software for: Less than 1 year ### "Start Here" 5.0 March 11, 2020 My overall experience is positive. It might give some newbie programmers a slightly distorted idea of how things work - since it is fairly easy to building powerful neural networks with it, but it could also encourage them to dig deeper. Building even a simple NN with C from scratch would frustrate most beginners, so this is a good place for students to start - assuming they're also studying theory. Pros Until we have IDEs that can translate our thoughts into code, I don't think creating Deep Learning models could be made much easier. Keras doesn't ask a lot of the user in terms of background knowledge or coding skill, so it's your best bet for rapidly building applications that require some artificial intelligence. Yes, you should have some basic familiarity with what's going on under the hood, but you don't need to memorize a neural networks textbook. Cons As I go on using it I suspect its limitations will become more apparent. On the other hand, that's not really an issue since it can be easily extended. It plays nicely with TensorFlow in my experience, but I haven't seen how well it works with PyToch or Microsoft's cognitive toolkit. WU Web UI Developer Web UI Developer Used the software for: 3-5 years ### "keras - an easy way to develop machine learning models" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 9/10 October 8, 2018 Pros It has made machine learning and deep learning implementation very easy as compared to tensorflow. Implementing deep learning models using tensorflow is very difficult, you have to take care of each and every variables but if you are using keras it's very easy to do this. With just few lines of code you can develop a deep learning model. Keras also provide lots of functionality for data processing like converting to one hot encoding and lot other. Cons As it provides lots of easy way to implement algorithm but it restricts you to use those functionality only. If you want to build good algorithm with lot of optimization, you can't do everything with keras. Dr. Jayant J. Assistant professor Used the software for: 3-5 years ### "Keras is the best API and framework for deep learning application development" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 June 10, 2019 I have developed many deep learning applications using keras. Pros Many ready available function are written by community for keras for developing deep learning applications. It is easy to use and user friendly. Cons Backend support is available only with theano or tensorflow. [View all Reviews](https://www.capterra.com/p/171047/Keras/reviews/) ## Top-rated software of 2026 ### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox.