The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Jupyter is a tool in the Data Science Notebooks category of a tech stack.
Jupyter is an open source tool with 5.71K Github Stars and 2.44K Github Forks. Here’s a link to Jupyter's open source repository on Github
64 companies use Jupyter including SendGrid, Policygenius, and Checkr.
Python, Kubeflow, Polyaxon, Plotly, and Gradient° are some of the popular tools that integrate with Jupyter. Here's a list of all 6 tools that integrate with Jupyter.
Here’s a list of reasons why companies and developers use Jupyter.
Here are some stack decisions and reviews by companies and developers who chose Jupyter in their tech stack.
When integrated with cloud platforms it's an easy way to code and test data science projects. The web-based nature makes it easy to transition between coding on your local machine or the cloud. Jupyter