Kaggle Kernels和 Colab, Binder, Azure Notebooks, CoCalc, Datalore的比较
下面是引文：
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:
- Binder
- Kaggle Kernels
- Google Colaboratory (Colab)
- Microsoft Azure Notebooks
- CoCalc
- 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).
If you don't have time to read the post, I also created this comparison table that summarizes some of the key differences.
If you'd like to know why I did not include other similar services in my review, please see this section of the blog post.
Your feedback is more than welcome!
Kevin
P.S. I finished writing this post two days ago. Yesterday, Kaggle released an updated Kernels editor. I have not yet updated the post to reflect all of the changes in the updated editor, but I will be soon.
转载自：
https://docs.google.com/spreadsheets/d/12thaaXg1Idr3iWST8QyASNDs08sjdPd6m9mbCGtHFn0/edit?usp=sharing