Scikit Image is used in Python projects. Image processing in Python It has 8 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.
Image processing in Python
Scikit Image declares 8 direct runtime dependencies, each of which is resolved and rendered as an expandable node in the graph:
Beyond its direct dependencies, Scikit Image 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 Scikit Image.
Scikit Image is distributed under the BSD License license. Use the vulnerability panel, powered by the OSV database, to check whether Scikit Image 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 Scikit Image, and download Scikit Image together with all of its dependencies as wheels for offline or air-gapped installs.