![]() CoCalc allows you to collaborate with others in real-time on Jupyter notebooks. It provides a Jupyter notebook interface along with other tools such as LaTeX, SageMath, and RStudio. Option 4: CoCalcĬoCalc is an online platform for collaborative computation. Binder is a great option for sharing your Jupyter notebooks with a wider audience. You can share the link to the Binder instance with anyone, and they can access the Jupyter notebooks without installing anything on their local machine. Binder builds a Docker image of your repository and launches a Jupyter notebook server with the image. ![]() Option 3: Binderīinder is a free service that allows you to turn your GitHub repository containing Jupyter notebooks into a collection of interactive notebooks. JupyterHub also supports authentication using various identity providers such as GitHub, Google, and LDAP. ![]() It provides a web interface for users to log in and access their Jupyter notebooks. JupyterHub can be installed on your own server or cloud instance. It allows you to deploy a Jupyter notebook server that can be accessed by multiple users. ![]() JupyterHub is a multi-user server for Jupyter notebooks. Lastly, Saturn Cloud offers tools for scaling your workloads. The notebooks can be shared across teams as well. You can configure the instance size for more memory, and it also supports GPUs. You can deploy notebooks easily with its intuitive UI. Saturn Cloud is an online ML platform that offers Jupyter notebooks on free and enterprise tiers. ![]() Option 1: Jupyter Notebook on Saturn Cloud In this blog post, we will explore various options for deploying Jupyter notebooks online. One solution to this problem is to deploy your Jupyter notebooks online, making them accessible to anyone with an internet connection. This can be a challenge, especially if they do not have Jupyter installed on their local machines. As a data scientist, you may have encountered situations where you need to share your Jupyter notebooks with colleagues or clients who are not familiar with the platform. ![]()
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