Deep Learning Framework Power Scores 2018

towardsdatascience.com

Author Jeff Hale has built a "power score" ranking of deep learning frameworks:

I used 11 data sources across 7 distinct categories to gauge framework usage, interest, and popularity. Then I weighted and combined the data...

The final results are in the chart above. Data sources include:

  • KDnuggets Usage Survey
  • Google Search Volume
  • Medium Articles
  • Amazon Books
  • ArXiv Articles
  • GitHub Activity

If you're starting a new deep learning project, by all means, choose your framework based on technical requirements. But if you're curious about adoption / popularity, this is a solid benchmark. Users exert gravity in winner-take-all technology ecosystems; I expect the top frameworks to only become more popular and more feature-rich as the space matures.

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