Jupyterlab is used in Python projects. JupyterLab computational environment It has 14 direct runtime dependencies. Check its dependency graph on PyDeps to understand the full transitive dependency tree, reverse dependents, known CVEs, and license compatibility before installing.
JupyterLab computational environment
Jupyterlab declares 14 direct runtime dependencies, each of which is resolved and rendered as an expandable node in the graph:
Beyond its direct dependencies, Jupyterlab pulls in further packages through its dependency tree. PyDeps walks the entire chain from PyPI and deps.dev so you can see every transitive (nested) dependency, expand any node on demand, and understand the full set of code that ships when you install Jupyterlab.
Jupyterlab is distributed under the BSD License license. Use the vulnerability panel, powered by the OSV database, to check whether Jupyterlab or anything in its dependency tree has known CVEs before you ship, and review the license of every dependency to confirm compatibility with your project.
In the interactive graph each node is a package and each edge is a version constraint. Expand a node to load its subdependencies, switch to the dependents view to see which packages rely on Jupyterlab, and download Jupyterlab together with all of its dependencies as wheels for offline or air-gapped installs.