Which Deep Learning Framework is Growing Fastest?

TensorFlow vs. PyTorch

Jeff Hale
Towards Data Science
8 min readApr 1, 2019

In September 2018, I compared all the major deep learning frameworks in terms of demand, usage, and popularity in this article. TensorFlow was the undisputed heavyweight champion of deep learning frameworks. PyTorch was the young rookie with lots of buzz. 🐝

How has the landscape changed for the leading deep learning frameworks in the past six months?

To answer that question, I looked at the number of job listings on Indeed, Monster, LinkedIn, and SimplyHired. I also evaluated changes in Google search volume, GitHub activity, Medium articles, ArXiv articles, and Quora topic followers. Overall, these sources paint a comprehensive picture of growth in demand, usage, and interest.

Integrations and Updates

We’ve recently seen several important developments in the TensorFlow and PyTorch frameworks.

PyTorch v1.0 was pre-released in October 2018, at the same time fastai v1.0 was released. Both releases marked major milestones in the maturity of the frameworks.

TensorFlow 2.0 alpha was released March 4, 2019. It added new features and an improved user experience. It more tightly integrates Keras as its high-level API, too.

Methodology

In this article, I include Keras and fastai in the comparisons because of their tight integrations with TensorFlow and PyTorch. They also…

Towards Data Science
Towards Data Science

Published in Towards Data Science

Your home for data science and AI. The world’s leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

Jeff Hale
Jeff Hale

Written by Jeff Hale

I write about data things. Follow me on Medium and join my Data Awesome mailing list to stay on top of the latest data tools and tips: https://dataawesome.com

Responses (16)

What are your thoughts?