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Check out CoCalc[1], formerly Sagemath Cloud. It is a project with a lot of history (think of SageMath as python-based open-source Mathematica alternative). It

Check out CoCalc[1], formerly Sagemath Cloud. It is a project with a lot of history (think of SageMath as python-based open-source Mathematica alternative). It supports Jupyter and Sage notebooks. CoCalc also supports Julia, LaTeX, R. I'm using Google Colab[2]. It's the direct equivalent, hosted by Google. Not quite open source, but it's free (and does it matter if a cloud service is open source? If you want control that open source gives you, you run things locally anyway). Disclaimer: I work there, and use it at work daily. For a Colab vs CoCalc comparison, see[3]. In my brief experience, CoCalc UI is currently snappier than Colab; but I haven't written any large notebooks in it yet. There are other Python cloud services[4] which I don't have any experience with. [1]https://cocalc.com/ https://cocalc.com/ [2]https://colab.research.google.com/ https://colab.research.google.com/ [3]https://www.forbes.com/sites/gregoryferenstein/2019/08/18/a-review-of-googles-colab-and-cocalc-for-collaborative-data-science/#f00d66b6f024 https://www.forbes.com/sites/gregoryferenstein/2019/08/18/a-... [4]https://www.dataschool.io/cloud-services-for-jupyter-notebook/ https://www.dataschool.io/cloud-services-for-jupyter-noteboo...

jen_h 7y ago
One thing very much worth plugging about Google Colab is that you get free access to an NVIDIA Tesla K80 GPU. You're limited to 12 hour stints and you have to keep the window open and network active, but it's enough that I've been able to use it to run neural machine language training (to be fair, I pass model files back and forth, training on EC2 spot instances, too).
williamstein 7y ago
CoCalc fully supports publishing Jupyter notebooks to the web [1], which you can see here [2]. The Jupyter notebook renderer that I implemented for CoCalc is a new one written from scratch using React.js, it's is purely client side, and it is faster and more lightweight than the one on GitHub or nbviewer. [1] https://doc.cocalc.com/share.html#publishing-files https://doc.cocalc.com/share.html#publishing-files [2] https://share.cocalc.com/share/ https://share.cocalc.com/share/

jen_h 7y ago

One thing very much worth plugging about Google Colab is that you get free access to an NVIDIA Tesla K80 GPU. You're limited to 12 hour stints and you have to keep the window open and network active, but it's enough that I've been able to use it to run neural machine language training (to be fair, I pass model files back and forth, training on EC2 spot instances, too).

williamstein 7y ago

CoCalc fully supports publishing Jupyter notebooks to the web [1], which you can see here [2]. The Jupyter notebook renderer that I implemented for CoCalc is a new one written from scratch using React.js, it's is purely client side, and it is faster and more lightweight than the one on GitHub or nbviewer. [1] https://doc.cocalc.com/share.html#publishing-files https://doc.cocalc.com/share.html#publishing-files [2] https://share.cocalc.com/share/ https://share.cocalc.com/share/