Answers.Body: <p>Something that I personally use is <a href="https://trends.google.com/trends/" rel="nofollow noreferrer">Google Trends</a>. This is a very useful tool for verifying the interest of a broad public on some subject. Results can even be refined to  include region and/or time span.</p>
  <p>For instance, here you can see a comparison for the interest in Tensorflow, Keras and Pytorch over the past 12 months:</p>
  <p><a href="https://i.sstatic.net/oIdwq.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/oIdwq.png" alt="enter image description here" /></a></p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-07-25T02:38:20.447Z
Answers.LastActivityDate: 2021-07-25T02:38:20.447Z
Answers.UserDisplayName: Eduardo Montesuma
Body: <p>I know three Python libraries that are popular in deep learning research community: <a href="https://keras.io/" rel="nofollow noreferrer">Keras</a>, <a href="https://pytorch.org/" rel="nofollow noreferrer">PyTorch</a>, <a href="https://www.tensorflow.org/" rel="nofollow noreferrer">Tensorflow</a>.  I don't know much about <a href="https://github.com/Theano/Theano" rel="nofollow noreferrer">Theano</a>.</p>
  <p>This question is not about the efficiency, flexibility or ease of the library for its users. This question is about the usage of the library by the deep learning (academic, research) community.</p>
  <p>Which library is used by most of the contemporary researchers? Is there any comparison or stats available among the libraries, based on GitHub implementations or by some other means?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-07-24T16:33:19.580Z
Comments.Text: https://pypistats.org/about
Comments.UserDisplayName: Aray Karjauv
Tags: <deep-learning><tensorflow><reference-request><keras><pytorch>
Title: Are there any stats available on the usage of libraries by deep learning researchers?
UserDisplayName: hanugm
ThreadText: # Are there any stats available on the usage of libraries by deep learning researchers?
  
  (Asked by: username_0 on 2021-07-24)
  
  I know three Python libraries that are popular in deep learning research community: [Keras](https://keras.io/), [PyTorch](https://pytorch.org/), [Tensorflow](https://www.tensorflow.org/). I don't know much about [Theano](https://github.com/Theano/Theano).
  
  This question is not about the efficiency, flexibility or ease of the library for its users. This question is about the usage of the library by the deep learning (academic, research) community.
  
  Which library is used by most of the contemporary researchers? Is there any comparison or stats available among the libraries, based on GitHub implementations or by some other means?
  
  **Tags:** deep-learning, tensorflow, reference-request, keras, pytorch
  
  > **Comments:**
  > **username_1**: https://pypistats.org/about  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_2 on 2021-07-25. Score: 1
  
  Something that I personally use is [Google Trends](https://trends.google.com/trends/). This is a very useful tool for verifying the interest of a broad public on some subject. Results can even be refined to include region and/or time span.
  
  For instance, here you can see a comparison for the interest in Tensorflow, Keras and Pytorch over the past 12 months:
  
  [![enter image description here](https://i.sstatic.net/oIdwq.png)](https://i.sstatic.net/oIdwq.png)
  
  
  ---
  
  