Comparing Datalore with other cloud-based notebook services

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Hello all,

I just published a blog post, Six easy ways to run your Jupyter Notebook in the cloud, that may be of interest to some of you. It’s an in-depth comparison of these six services:

  1. Binder
  2. Kaggle Kernels
  3. Google Colaboratory (Colab)
  4. Microsoft Azure Notebooks
  5. CoCalc
  6. Datalore

All of these services meet the following criteria:

  • They don’t require you to install anything on your local machine.
  • They are completely free (or they have a free plan).
  • They give you access to the Jupyter Notebook environment (or a Jupyter-like environment).
  • They allow you to import and export notebooks using the standard .ipynb file format.
  • They support the Python language (and most support other languages as well).

I realize that Datalore is more of a “reinvention” of the Jupyter Notebook than any of the other services, but I still included it since it meets all of these criteria.

If you don’t have time to read the post, I also created this comparison table that summarizes some of the key differences.

Your questions/feedback are more than welcome! :+1:

Kevin

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Great work, @kevin! Thanks for sharing it with us!

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Great article :slight_smile:

Since you published, Datalore now offers support for the IPython kernel, and looks like more kernels are on the way! Would be great to know which one(s) are being prioritised by the Datalore team.

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