# Top 10 Keras Alternatives & Competitors **Average Rating:** 4.6/5 **Total Number of Reviews:** 65 The Artificial Neural Network Software solutions below are the most common alternatives that users and reviewers compare with Keras. Other important factors to consider when researching alternatives to Keras include training. The best overall Keras alternative is TFLearn. Other similar apps like Keras are Knet, NVIDIA Deep Learning GPU Training System (DIGITS), Microsoft Cognitive Toolkit (Formerly CNTK), and DeepPy. Keras alternatives can be found in [Artificial Neural Network Software](https://www.g2.com/categories/artificial-neural-network) but may also be in [Image Recognition Software](https://www.g2.com/categories/image-recognition). ## Best Paid & Free Alternatives to Keras - [TFLearn](https://www.g2.com/products/tflearn/reviews) - [Knet](https://www.g2.com/products/knet/reviews) - [NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/products/nvidia-deep-learning-gpu-training-system-digits/reviews) - [Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/products/microsoft-cognitive-toolkit-formerly-cntk/reviews) - [DeepPy](https://www.g2.com/products/deeppy/reviews) - [Torch](https://www.g2.com/products/torch/reviews) - [Chainer](https://www.g2.com/products/chainer/reviews) - [Merlin](https://www.g2.com/products/merlin/reviews) - [Google Cloud Deep Learning Containers](https://www.g2.com/products/google-cloud-deep-learning-containers/reviews) - [RustNN](https://www.g2.com/products/rustnn/reviews) ## Top 10 Alternatives to Keras Recently Reviewed By G2 Community Browse options below. Based on reviewer data, you can see how Keras stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Telecommunications, and Information Services, and find the best product for your business. ### 1. [TFLearn](https://www.g2.com/products/tflearn/reviews) By TFLearn **Average Rating:** 4.0/5 **Total Reviews:** 20 TFlearn is a modular and transparent deep learning library built on top of Tensorflow that provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it. Reviewers say compared to Keras, TFLearn is: - Slower to reach roi - More expensive - Easier to set up Categories in common with Keras: [Artificial Neural Network](https://www.g2.com/categories/artificial-neural-network) **Compare:** [Keras vs TFLearn](https://www.g2.com/compare/keras-vs-tflearn) **Compare TFLearn with other alternatives:** - [TFLearn vs Knet](https://www.g2.com/compare/knet-vs-tflearn) - [TFLearn vs NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/compare/nvidia-deep-learning-gpu-training-system-digits-vs-tflearn) - [TFLearn vs Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/compare/microsoft-cognitive-toolkit-formerly-cntk-vs-tflearn) - [TFLearn vs DeepPy](https://www.g2.com/compare/deeppy-vs-tflearn) - [TFLearn vs Torch](https://www.g2.com/compare/tflearn-vs-torch) - [TFLearn vs Chainer](https://www.g2.com/compare/chainer-vs-tflearn) - [TFLearn vs Merlin](https://www.g2.com/compare/merlin-vs-tflearn) - [TFLearn vs Google Cloud Deep Learning Containers](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-tflearn) - [TFLearn vs RustNN](https://www.g2.com/compare/rustnn-vs-tflearn) ### 2. [Knet](https://www.g2.com/products/knet/reviews) By Knet **Average Rating:** 4.3/5 **Total Reviews:** 12 Knet (pronounced "kay-net") is a deep learning framework implemented in Julia that allows the definition and training of machine learning models using the full power and expressivity of Julia. Reviewers say compared to Keras, Knet is: - Better at support - Better at meeting requirements Categories in common with Keras: [Artificial Neural Network](https://www.g2.com/categories/artificial-neural-network) **Compare:** [Keras vs Knet](https://www.g2.com/compare/keras-vs-knet) **Compare Knet with other alternatives:** - [Knet vs TFLearn](https://www.g2.com/compare/knet-vs-tflearn) - [Knet vs NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/compare/knet-vs-nvidia-deep-learning-gpu-training-system-digits) - [Knet vs Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/compare/knet-vs-microsoft-cognitive-toolkit-formerly-cntk) - [Knet vs DeepPy](https://www.g2.com/compare/deeppy-vs-knet) - [Knet vs Torch](https://www.g2.com/compare/knet-vs-torch) - [Knet vs Chainer](https://www.g2.com/compare/chainer-vs-knet) - [Knet vs Merlin](https://www.g2.com/compare/knet-vs-merlin) - [Knet vs Google Cloud Deep Learning Containers](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-knet) - [Knet vs RustNN](https://www.g2.com/compare/knet-vs-rustnn) ### 3. [NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/products/nvidia-deep-learning-gpu-training-system-digits/reviews) By NVIDIA **Average Rating:** 4.5/5 **Total Reviews:** 23 NVIDIA Deep Learning GPU Training System (DIGITS) deep learning for data science and research to quickly design deep neural network (DNN) for image classification and object detection tasks using real-time network behavior visualization. Reviewers say compared to Keras, NVIDIA Deep Learning GPU Training System (DIGITS) is: - More expensive Categories in common with Keras: [Artificial Neural Network](https://www.g2.com/categories/artificial-neural-network) **Compare:** [Keras vs NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/compare/keras-vs-nvidia-deep-learning-gpu-training-system-digits) **Compare NVIDIA Deep Learning GPU Training System (DIGITS) with other alternatives:** - [NVIDIA Deep Learning GPU Training System (DIGITS) vs TFLearn](https://www.g2.com/compare/nvidia-deep-learning-gpu-training-system-digits-vs-tflearn) - [NVIDIA Deep Learning GPU Training System (DIGITS) vs Knet](https://www.g2.com/compare/knet-vs-nvidia-deep-learning-gpu-training-system-digits) - [NVIDIA Deep Learning GPU Training System (DIGITS) vs Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/compare/microsoft-cognitive-toolkit-formerly-cntk-vs-nvidia-deep-learning-gpu-training-system-digits) - [NVIDIA Deep Learning GPU Training System (DIGITS) vs DeepPy](https://www.g2.com/compare/deeppy-vs-nvidia-deep-learning-gpu-training-system-digits) - [NVIDIA Deep Learning GPU Training System (DIGITS) vs Torch](https://www.g2.com/compare/nvidia-deep-learning-gpu-training-system-digits-vs-torch) - [NVIDIA Deep Learning GPU Training System (DIGITS) vs Chainer](https://www.g2.com/compare/chainer-vs-nvidia-deep-learning-gpu-training-system-digits) - [NVIDIA Deep Learning GPU Training System (DIGITS) vs Merlin](https://www.g2.com/compare/merlin-vs-nvidia-deep-learning-gpu-training-system-digits) - [NVIDIA Deep Learning GPU Training System (DIGITS) vs Google Cloud Deep Learning Containers](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-nvidia-deep-learning-gpu-training-system-digits) - [NVIDIA Deep Learning GPU Training System (DIGITS) vs RustNN](https://www.g2.com/compare/nvidia-deep-learning-gpu-training-system-digits-vs-rustnn) ### 4. [Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/products/microsoft-cognitive-toolkit-formerly-cntk/reviews) By Microsoft **Average Rating:** 4.2/5 **Total Reviews:** 22 Microsoft Cognitive Toolkit is an open-source, commercial-grade toolkit that empowers user to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms already use. Reviewers say compared to Keras, Microsoft Cognitive Toolkit (Formerly CNTK) is: - Slower to reach roi - More expensive - Easier to admin Categories in common with Keras: [Artificial Neural Network](https://www.g2.com/categories/artificial-neural-network) **Compare:** [Keras vs Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/compare/keras-vs-microsoft-cognitive-toolkit-formerly-cntk) **Compare Microsoft Cognitive Toolkit (Formerly CNTK) with other alternatives:** - [Microsoft Cognitive Toolkit (Formerly CNTK) vs TFLearn](https://www.g2.com/compare/microsoft-cognitive-toolkit-formerly-cntk-vs-tflearn) - [Microsoft Cognitive Toolkit (Formerly CNTK) vs Knet](https://www.g2.com/compare/knet-vs-microsoft-cognitive-toolkit-formerly-cntk) - [Microsoft Cognitive Toolkit (Formerly CNTK) vs NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/compare/microsoft-cognitive-toolkit-formerly-cntk-vs-nvidia-deep-learning-gpu-training-system-digits) - [Microsoft Cognitive Toolkit (Formerly CNTK) vs DeepPy](https://www.g2.com/compare/deeppy-vs-microsoft-cognitive-toolkit-formerly-cntk) - [Microsoft Cognitive Toolkit (Formerly CNTK) vs Torch](https://www.g2.com/compare/microsoft-cognitive-toolkit-formerly-cntk-vs-torch) - [Microsoft Cognitive Toolkit (Formerly CNTK) vs Chainer](https://www.g2.com/compare/chainer-vs-microsoft-cognitive-toolkit-formerly-cntk) - [Microsoft Cognitive Toolkit (Formerly CNTK) vs Merlin](https://www.g2.com/compare/merlin-vs-microsoft-cognitive-toolkit-formerly-cntk) - [Microsoft Cognitive Toolkit (Formerly CNTK) vs Google Cloud Deep Learning Containers](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-microsoft-cognitive-toolkit-formerly-cntk) - [Microsoft Cognitive Toolkit (Formerly CNTK) vs RustNN](https://www.g2.com/compare/microsoft-cognitive-toolkit-formerly-cntk-vs-rustnn) ### 5. [DeepPy](https://www.g2.com/products/deeppy/reviews) By DeepPy **Average Rating:** 4.1/5 **Total Reviews:** 12 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. Reviewers say compared to Keras, DeepPy is: - More expensive - Slower to reach roi - Easier to set up Categories in common with Keras: [Artificial Neural Network](https://www.g2.com/categories/artificial-neural-network) **Compare:** [Keras vs DeepPy](https://www.g2.com/compare/deeppy-vs-keras) **Compare DeepPy with other alternatives:** - [DeepPy vs TFLearn](https://www.g2.com/compare/deeppy-vs-tflearn) - [DeepPy vs Knet](https://www.g2.com/compare/deeppy-vs-knet) - [DeepPy vs NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/compare/deeppy-vs-nvidia-deep-learning-gpu-training-system-digits) - [DeepPy vs Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/compare/deeppy-vs-microsoft-cognitive-toolkit-formerly-cntk) - [DeepPy vs Torch](https://www.g2.com/compare/deeppy-vs-torch) - [DeepPy vs Chainer](https://www.g2.com/compare/chainer-vs-deeppy) - [DeepPy vs Merlin](https://www.g2.com/compare/deeppy-vs-merlin) - [DeepPy vs Google Cloud Deep Learning Containers](https://www.g2.com/compare/deeppy-vs-google-cloud-deep-learning-containers) - [DeepPy vs RustNN](https://www.g2.com/compare/deeppy-vs-rustnn) ### 6. [Torch](https://www.g2.com/products/torch/reviews) By Torch Leadership Labs **Average Rating:** 4.4/5 **Total Reviews:** 15 Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. Reviewers say compared to Keras, Torch is: - Slower to reach roi - Easier to admin - Better at support Categories in common with Keras: [Artificial Neural Network](https://www.g2.com/categories/artificial-neural-network) **Compare:** [Keras vs Torch](https://www.g2.com/compare/keras-vs-torch) **Compare Torch with other alternatives:** - [Torch vs TFLearn](https://www.g2.com/compare/tflearn-vs-torch) - [Torch vs Knet](https://www.g2.com/compare/knet-vs-torch) - [Torch vs NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/compare/nvidia-deep-learning-gpu-training-system-digits-vs-torch) - [Torch vs Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/compare/microsoft-cognitive-toolkit-formerly-cntk-vs-torch) - [Torch vs DeepPy](https://www.g2.com/compare/deeppy-vs-torch) - [Torch vs Chainer](https://www.g2.com/compare/chainer-vs-torch) - [Torch vs Merlin](https://www.g2.com/compare/merlin-vs-torch) - [Torch vs Google Cloud Deep Learning Containers](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-torch) - [Torch vs RustNN](https://www.g2.com/compare/rustnn-vs-torch) ### 7. [Chainer](https://www.g2.com/products/chainer/reviews) By Chainer **Average Rating:** 4.3/5 **Total Reviews:** 11 Chainer is a powerful, flexible, and intuitive framework of neural networks that bridge the gap between algorithms and implementations. Reviewers say compared to Keras, Chainer is: - More expensive Categories in common with Keras: [Artificial Neural Network](https://www.g2.com/categories/artificial-neural-network) **Compare:** [Keras vs Chainer](https://www.g2.com/compare/chainer-vs-keras) **Compare Chainer with other alternatives:** - [Chainer vs TFLearn](https://www.g2.com/compare/chainer-vs-tflearn) - [Chainer vs Knet](https://www.g2.com/compare/chainer-vs-knet) - [Chainer vs NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/compare/chainer-vs-nvidia-deep-learning-gpu-training-system-digits) - [Chainer vs Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/compare/chainer-vs-microsoft-cognitive-toolkit-formerly-cntk) - [Chainer vs DeepPy](https://www.g2.com/compare/chainer-vs-deeppy) - [Chainer vs Torch](https://www.g2.com/compare/chainer-vs-torch) - [Chainer vs Merlin](https://www.g2.com/compare/chainer-vs-merlin) - [Chainer vs Google Cloud Deep Learning Containers](https://www.g2.com/compare/chainer-vs-google-cloud-deep-learning-containers) - [Chainer vs RustNN](https://www.g2.com/compare/chainer-vs-rustnn) ### 8. [Merlin](https://www.g2.com/products/merlin/reviews) By Merlin **Average Rating:** 3.6/5 **Total Reviews:** 10 Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning. Reviewers say compared to Keras, Merlin is: - More expensive - Easier to do business with Categories in common with Keras: [Artificial Neural Network](https://www.g2.com/categories/artificial-neural-network) **Compare:** [Keras vs Merlin](https://www.g2.com/compare/keras-vs-merlin) **Compare Merlin with other alternatives:** - [Merlin vs TFLearn](https://www.g2.com/compare/merlin-vs-tflearn) - [Merlin vs Knet](https://www.g2.com/compare/knet-vs-merlin) - [Merlin vs NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/compare/merlin-vs-nvidia-deep-learning-gpu-training-system-digits) - [Merlin vs Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/compare/merlin-vs-microsoft-cognitive-toolkit-formerly-cntk) - [Merlin vs DeepPy](https://www.g2.com/compare/deeppy-vs-merlin) - [Merlin vs Torch](https://www.g2.com/compare/merlin-vs-torch) - [Merlin vs Chainer](https://www.g2.com/compare/chainer-vs-merlin) - [Merlin vs Google Cloud Deep Learning Containers](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-merlin) - [Merlin vs RustNN](https://www.g2.com/compare/merlin-vs-rustnn) ### 9. [Google Cloud Deep Learning Containers](https://www.g2.com/products/google-cloud-deep-learning-containers/reviews) By Google **Average Rating:** 4.4/5 **Total Reviews:** 34 Preconfigured and optimized containers for deep learning environments. Reviewers say compared to Keras, Google Cloud Deep Learning Containers is: - Easier to admin - Better at support - Easier to do business with Categories in common with Keras: [Artificial Neural Network](https://www.g2.com/categories/artificial-neural-network) **Compare:** [Keras vs Google Cloud Deep Learning Containers](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-keras) **Compare Google Cloud Deep Learning Containers with other alternatives:** - [Google Cloud Deep Learning Containers vs TFLearn](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-tflearn) - [Google Cloud Deep Learning Containers vs Knet](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-knet) - [Google Cloud Deep Learning Containers vs NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-nvidia-deep-learning-gpu-training-system-digits) - [Google Cloud Deep Learning Containers vs Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-microsoft-cognitive-toolkit-formerly-cntk) - [Google Cloud Deep Learning Containers vs DeepPy](https://www.g2.com/compare/deeppy-vs-google-cloud-deep-learning-containers) - [Google Cloud Deep Learning Containers vs Torch](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-torch) - [Google Cloud Deep Learning Containers vs Chainer](https://www.g2.com/compare/chainer-vs-google-cloud-deep-learning-containers) - [Google Cloud Deep Learning Containers vs Merlin](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-merlin) - [Google Cloud Deep Learning Containers vs RustNN](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-rustnn) ### 10. [RustNN](https://www.g2.com/products/rustnn/reviews) By RustNN **Average Rating:** 3.3/5 **Total Reviews:** 2 RustNN is a feedforward neural network library that generates fully connected multi-layer artificial neural networks that are trained via backpropagation. Categories in common with Keras: [Artificial Neural Network](https://www.g2.com/categories/artificial-neural-network) **Compare:** [Keras vs RustNN](https://www.g2.com/compare/keras-vs-rustnn) **Compare RustNN with other alternatives:** - [RustNN vs TFLearn](https://www.g2.com/compare/rustnn-vs-tflearn) - [RustNN vs Knet](https://www.g2.com/compare/knet-vs-rustnn) - [RustNN vs NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/compare/nvidia-deep-learning-gpu-training-system-digits-vs-rustnn) - [RustNN vs Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/compare/microsoft-cognitive-toolkit-formerly-cntk-vs-rustnn) - [RustNN vs DeepPy](https://www.g2.com/compare/deeppy-vs-rustnn) - [RustNN vs Torch](https://www.g2.com/compare/rustnn-vs-torch) - [RustNN vs Chainer](https://www.g2.com/compare/chainer-vs-rustnn) - [RustNN vs Merlin](https://www.g2.com/compare/merlin-vs-rustnn) - [RustNN vs Google Cloud Deep Learning Containers](https://www.g2.com/compare/google-cloud-deep-learning-containers-vs-rustnn) ## Explore Articles - [Is Speed Kit worth it as a web server accelerator for a high-traffic application team, or does F5 NGINX cover enough at the infrastructure layer?](https://www.g2.com/discussions/is-speed-kit-worth-it-as-a-web-server-accelerator-for-a-high-traffic-application-team-or-does-f5-nginx-cover-enough-at-the-infrastructure-layer) - [Meltwater vs CisionOne for a PR team that needs solid media monitoring and reporting without a complex setup or a per-outlet pricing model that makes costs unpredictable?](https://www.g2.com/discussions/meltwater-vs-cisionone-for-a-pr-team-that-needs-solid-media-monitoring-and-reporting-without-a-complex-setup-or-a-per-outlet-pricing-model-that-makes-costs-unpredictable) - [Top digital experience tools for software companies](https://www.g2.com/discussions/top-digital-experience-tools-for-software-companies) - [Which IRCM solutions handle multi-service and bundled offering management most effectively?](https://www.g2.com/discussions/which-ircm-solutions-handle-multi-service-and-bundled-offering-management-most-effectively) - [What platform is best for detecting security threats in logs?](https://www.g2.com/discussions/what-platform-is-best-for-detecting-security-threats-in-logs) - [Top platforms for securing container images](https://www.g2.com/discussions/what-are-the-top-platforms-for-securing-container-images) ## Spotlight Categories - [Talent Assessment Software](https://www.g2.com/categories/talent-assessment-software) - [Attribution Software](https://www.g2.com/categories/attribution) - [Outbound Call Tracking Software](https://www.g2.com/categories/outbound-call-tracking)