# Keras Software Pricing, Alternatives & More 2026 | Capterra > With the help of Capterra, learn about Keras Software - reviews, pricing plans, popular comparisons to other Deep Learning products and more. Source: https://www.capterra.com/p/171047/Keras --- # Keras Software Review 2026: Features, Integrations, Pros & Cons Last updated on March 13, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. Independent research methodology Capterra’s researchers use a mix of verified reviews, independent research and objective methodologies to bring you selection and ranking information you can trust. While we may earn a referral fee when you visit a provider through our links or speak to an advisor, this has no influence on our research or methodology. [Learn more](https://www.capterra.com/resources/proprietary-data-research/) How Capterra verifies reviews Capterra carefully verified over 2.5 million+ reviews to bring you authentic software experiences from real users. Our human moderators verify that reviewers are real people and that reviews are authentic. They use leading tech to analyze text quality and to detect plagiarism and generative AI. [Learn more](https://www.capterra.com/resources/how-we-verify-reviews/) How Capterra ensures transparency Capterra lists all providers across its website—not just those that pay us—so that users can make informed purchase decisions. Capterra is free for users. Software providers pay us for sponsored profiles to receive web traffic and sales opportunities. Sponsored profiles include a link-out icon that takes users to the provider’s website. [Learn more](https://www.capterra.com/resources/how-we-ensure-transparency/) [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 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://digitalmarkets.gartner.com/get-listed/claim-bx?url=https://keras.io&name=Keras) ## 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 (12) Value For Money 4.5 (27) Value For Money 3.7 (9) Customer Service 4.2 (27) Customer Service 3.9 (9) ## Keras alternatives Highest Rated [Anaconda](https://www.capterra.com/p/191760/Anaconda/) [4.6 (86)](https://www.capterra.com/p/191760/Anaconda/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 95% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/191760/Anaconda/) [NVIDIA GPU Cloud (NGC)](https://www.capterra.com/p/171055/DIGITS/) [4.5 (25)](https://www.capterra.com/p/171055/DIGITS/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 96% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/171055/DIGITS/) [Labellerr](https://www.capterra.com/p/201456/Labellerr/) [4.6 (17)](https://www.capterra.com/p/201456/Labellerr/reviews/) Starting price $1000.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 94% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/201456/Labellerr/) [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/) [View all alternatives](https://www.capterra.com/p/171047/Keras/alternatives/) ## Features Features with the highest number of reviews are displayed first. Those that have no reviews appear next, sorted alphabetically. 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 Application programming interface that allows for integration with other systems/databases Networks with interconnected neural units, including MLPs, CNNs, DNNs, RNNs, etc. Assign categories, labels, tags, or attributes to documents for organization, search and storage Share, track, and store machine learning models and data. Process of testing an ML algorithm by feeding it training data to learn from Graphical representation of data or processes Features 4.3 (40) 4.3 Based on 40 reviews ## Pricing Value for money 4.5 (27) ### Starting price Contact vendor for pricing Free trial not available 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 5(26) 4(13) 3(1) 2(0) 1(0) Mentioned topic Sorted by most recent MS Maha S. Assistant Professor Computer Software ### "Keras: A High-level API for Machine Learning Applications" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 4.0 4.0 Likelihood to Recommend 9/10 September 5, 2023 Great experience using Keras to do high-level ML development without going into the low-level backend. Pros I enjoyed the simplified Python API provided by Keras to manage the different aspects of Machine Learning training and Data Set preparation. I used it to implement convolutional neural network models for image/video recognition for detecting the psychological state of a human entity using the facial expressions. Keras supported a very simplified interface for implementing the different aspects of the ML application. Moreover, it demonstrated very easy model to save the training stages of the ML model and even to migrate it to other servers. I would definitely rely on Keras for high-level ML applications without going into the thorny TensorFlow API. Cons The main issue I had in Keras is figuring out some low-level error messages that seemed cryptic to me at start. Perhaps this is not Keras fault as it is designed to be a simplified high-level API to abstract the knotty details of ML. But still some documentation to support this would be highly appreciated. Switched from [TensorFlow](https://www.capterra.com/p/170397/TensorFlow/) Smoother learning curve Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. Dvock A. Software Tester Information Technology and Services ### "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 21, 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. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. SA Samuel A. Software Telecommunications ### "Keras is a Great Tool for Deep Learning" 4.0 Overall Rating 4.0 4.0 Ease of Use 5.0 5.0 Features 4.0 4.0 Customer Service 5.0 5.0 Likelihood to Recommend 7/10 May 19, 2023 Pros Keras makes creating deep learning models very easy, even if you're new to the field. It has many tools to help clean your data, and it works well with TensorFlow. Cons Keras isn't as flexible as some other tools. You can't change everything you might want to, and it uses a lot of resources. Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. Moustafa Medhat A. Student Medical Devices ### "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 10, 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. Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. YA Youssef A. data scientist Computer Software ### "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 27, 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. Switched from [TensorFlow](https://www.capterra.com/p/170397/TensorFlow/) Tensorflow 2 already has keras and also I am traying pytorch to build custom methods (it is useful in research) Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. KK Kanupriya K. Deputy Manager Automotive ### "Keras an advanced deep learning framework " 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 3.0 3.0 Likelihood to Recommend 9/10 February 21, 2022 Overa experience using keras is best and I have developed multiple CNN based application. Pros What I liked the most about Keras deep learning framework is it is very easy to implement compare to TensorFlow framework, and It has rich inbuilt functions which make the model development more easy and robust Cons What I liked least about Keras is error analysis or error description given by framework, it becomes tough to interpret sometimes. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. Jitu K. Software Engineer Computer Software ### "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 6, 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. Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. IL Igwe Lazarus U. Automobile Salesman Automotive ### "Deep learning in Minutes" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 3.0 3.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 December 12, 2020 Keras is the engine behind the rapid and fast ML models. It's easy, fast and reliable. I'm currently working on a smart navigation model for the blind and Keras equipped me with every tool I need. Pros Artificial intelligence, Machine learning and deep learning has been the ranking words on Google lately. The need for build smart models for smart devices and smart machine for the future is a necessity. With Keras I build and test deep learning neural networks with few lines of code as compared to the traditional programming. With Keras, i can construct straightforward or complex neural networks inside a couple of moments. Keras is more easy to use. Cons Although it's the best ML framework for begineers, there's not much documentation out there to help newbies. Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. Adam A. Principal Cofounder Biotechnology ### "Start Here" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 0.0 0.0 Likelihood to Recommend 9/10 March 8, 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. Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. AU Anonymous User Instructor Computer Software ### "Keras is a wonderful building tool for neural networks" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 3.0 3.0 Customer Service 4.0 4.0 Likelihood to Recommend 9/10 February 21, 2020 I built an industry-based research project using Keras and my friends used other libraries and pure TensorFlow. Compared with them, I completed my project quickly and effectively. Pros It is most compatible with TensorFlow since it can easily use GPU. Also, It has rich tools for text cleaning and we can create any type of neural network architecture easily. Cons It isn't suitable for all systems. It doesn't have pre-defined models like other libraries or tools like Matlab. We can’t modify anything of its backend. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. [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. Independent research methodology Capterra's researchers use a mix of verified reviews, independent research and objective methodologies to bring you selection and ranking information you can trust. While we may earn a referral fee when you visit a provider through our links or speak to an advisor, this has no influence on our research or methodology. [Learn more](https://www.capterra.com/resources/proprietary-data-research/) How Capterra verifies reviews Capterra carefully verified over 2.5 million+ reviews to bring you authentic software experiences from real users. Our human moderators verify that reviewers are real people and that reviews are authentic. They use leading tech to analyze text quality and to detect plagiarism and generative AI. [Learn more](https://www.capterra.com/resources/how-we-verify-reviews/) How Capterra ensures transparency Capterra lists all providers across its website—not just those that pay us—so that users can make informed purchase decisions. Capterra is free for users. Software providers pay us for sponsored profiles to receive web traffic and sales opportunities. Sponsored profiles include a link-out icon that takes users to the provider's website. [Learn more](https://www.capterra.com/resources/how-we-ensure-transparency/)