Accessibility: Google Colab is a cloud-based version. Hence, there is no installation required. What a user needs is just a Google account to begin with. Jupyter Notebook needs to be installed either on a local system or through a platform like Anaconda. Since Google Colab has access to the cloud, it can be accessed from any location. Jupyter will require access to a local system unless hosted on cloud services.
Collaboration: Google Colab excels at collaboration. It includes real-time editing and commenting like Google Docs. This enables teams to work on a project more collaboratively. Jupyter Notebook shares notebooks but has no integration of real-time team collaborations. It can only allow collaboration with other tools like JupyterHub.
Resource Management: One of the core strengths of Google Colab is that it leverages Google’s cloud resources, meaning full free access to powerful GPUs and TPUs. This makes this project ideal for high computations. However, Google Colab suffers from session timeouts and usage limits. Jupyter Notebook in a local system is bound by the hardware available in it but does not use free GPUs.
Flexibility: Jupyter Notebook is highly flexible, supporting a wide range of environments and extensions. This makes it a preferred choice for developers who want to customize their workflow. Google Colab, while feature-rich, is limited to what Google offers. Although it supports many popular Python libraries, customization options are more restricted.
