# Top 10 Keras Alternatives & Competitors
**Average Rating:** 4.6/5
**Total Number of Reviews:** 65
Explore the best alternatives to Keras for users who need new software features or want to try different solutions. 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 NVIDIA Deep Learning GPU Training System (DIGITS), Microsoft Cognitive Toolkit (Formerly CNTK), Knet, 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)
  - [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)
  - [Knet](https://www.g2.com/products/knet/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)
  - [RustNN](https://www.g2.com/products/rustnn/reviews)
  - [Darknet](https://www.g2.com/products/darknet/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 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 Knet](https://www.g2.com/compare/knet-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 RustNN](https://www.g2.com/compare/rustnn-vs-tflearn)
- [TFLearn vs Darknet](https://www.g2.com/compare/darknet-vs-tflearn)

  ### 2. [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 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 Knet](https://www.g2.com/compare/knet-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 RustNN](https://www.g2.com/compare/nvidia-deep-learning-gpu-training-system-digits-vs-rustnn)
- [NVIDIA Deep Learning GPU Training System (DIGITS) vs Darknet](https://www.g2.com/compare/darknet-vs-nvidia-deep-learning-gpu-training-system-digits)

  ### 3. [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 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 Knet](https://www.g2.com/compare/knet-vs-microsoft-cognitive-toolkit-formerly-cntk)
- [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 RustNN](https://www.g2.com/compare/microsoft-cognitive-toolkit-formerly-cntk-vs-rustnn)
- [Microsoft Cognitive Toolkit (Formerly CNTK) vs Darknet](https://www.g2.com/compare/darknet-vs-microsoft-cognitive-toolkit-formerly-cntk)

  ### 4. [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 RustNN](https://www.g2.com/compare/knet-vs-rustnn)
- [Knet vs Darknet](https://www.g2.com/compare/darknet-vs-knet)

  ### 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 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 Knet](https://www.g2.com/compare/deeppy-vs-knet)
- [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 RustNN](https://www.g2.com/compare/deeppy-vs-rustnn)
- [DeepPy vs Darknet](https://www.g2.com/compare/darknet-vs-deeppy)

  ### 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 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 Knet](https://www.g2.com/compare/knet-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 RustNN](https://www.g2.com/compare/rustnn-vs-torch)
- [Torch vs Darknet](https://www.g2.com/compare/darknet-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 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 Knet](https://www.g2.com/compare/chainer-vs-knet)
- [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 RustNN](https://www.g2.com/compare/chainer-vs-rustnn)
- [Chainer vs Darknet](https://www.g2.com/compare/chainer-vs-darknet)

  ### 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 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 Knet](https://www.g2.com/compare/knet-vs-merlin)
- [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 RustNN](https://www.g2.com/compare/merlin-vs-rustnn)
- [Merlin vs Darknet](https://www.g2.com/compare/darknet-vs-merlin)

  ### 9. [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 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 Knet](https://www.g2.com/compare/knet-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 Darknet](https://www.g2.com/compare/darknet-vs-rustnn)

  ### 10. [Darknet](https://www.g2.com/products/darknet/reviews)
By Darknet
**Average Rating:** 4.8/5
**Total Reviews:** 3
Darknet is an open source neural network framework written in C and CUDA that supports CPU and GPU computation.


Categories in common with Keras: [Artificial Neural Network](https://www.g2.com/categories/artificial-neural-network)

**Compare:** [Keras vs Darknet](https://www.g2.com/compare/darknet-vs-keras)
**Compare Darknet with other alternatives:**
- [Darknet vs TFLearn](https://www.g2.com/compare/darknet-vs-tflearn)
- [Darknet vs NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/compare/darknet-vs-nvidia-deep-learning-gpu-training-system-digits)
- [Darknet vs Microsoft Cognitive Toolkit (Formerly CNTK)](https://www.g2.com/compare/darknet-vs-microsoft-cognitive-toolkit-formerly-cntk)
- [Darknet vs Knet](https://www.g2.com/compare/darknet-vs-knet)
- [Darknet vs DeepPy](https://www.g2.com/compare/darknet-vs-deeppy)
- [Darknet vs Torch](https://www.g2.com/compare/darknet-vs-torch)
- [Darknet vs Chainer](https://www.g2.com/compare/chainer-vs-darknet)
- [Darknet vs Merlin](https://www.g2.com/compare/darknet-vs-merlin)
- [Darknet vs RustNN](https://www.g2.com/compare/darknet-vs-rustnn)


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