{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering"}],"enrichment":{"capability":"Jupyter is a metapackage that installs the core Jupyter components\u2014Notebook, JupyterLab, IPython Kernel, and related tools\u2014in a single command for interactive computing and data science workflows.","skillfed_tags":["metapackage","interactive-computing","data-science"],"use_cases":["Setting up a complete Jupyter environment for data science work with a single install command.","Getting started with interactive notebooks and JupyterLab without researching which components to install separately.","Providing a standard baseline installation for educational or team environments where the full suite is expected.","Quick prototyping and exploratory analysis where all Jupyter tools are useful and disk space is not a constraint."],"what_it_does":"Jupyter is a convenience metapackage that bundles the most commonly used Jupyter components\u2014notebook, jupyterlab, jupyter-console, ipykernel, nbconvert, and ipywidgets\u2014into a single installation. It exists purely to simplify initial setup for users who want the full Jupyter ecosystem without manually specifying each component.\n\nThe package itself contains no code; it only declares dependencies on the actual Jupyter tools. The description explicitly warns that jupyter should not be used as a dependency in other packages, since it installs a large suite of tools that may be unnecessary for library use. For production or specialized workflows, installing individual components separately is recommended for efficiency and control.","worth_installing":"Yes, if you are starting fresh with Jupyter and want all standard components installed together. No, if you are building a library or package\u2014the metapackage explicitly warns against this use. Consider installing individual components (notebook, jupyterlab, ipykernel, etc.) separately if you need only specific tools or want to minimize dependencies. Note that maintenance is dormant, so rely on the underlying component packages for updates."},"id":"jupyter","links":{"html":"https://skillfed.io/packages/jupyter","md":"https://skillfed.io/packages/jupyter.md","pypi":"https://pypi.org/project/jupyter/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2024-08-30","license_spdx":null,"license_treatment":"permissive","name":"jupyter","python_support":"unspecified","summary":"Jupyter metapackage. Install all the Jupyter components in one go."},"popularity":{"monthly_downloads":17992959,"position":1094,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.1.1"}