Skl2onnx is used in Python projects. Convert scikit-learn models to ONNX It has 2 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.
Convert scikit-learn models to ONNX
skl2onnx declares 2 direct runtime dependencies on PyPI. Each one is resolved into the full dependency tree below:
Beyond its direct dependencies, skl2onnx can pull in further packages through its dependency tree. PyDeps resolves the entire chain from PyPI and deps.dev so you can see every transitive (nested) dependency of skl2onnx, expand any node on demand, and understand the full set of code that ships when you run pip install skl2onnx.
PyDeps checks skl2onnx and every package in its dependency tree against the OSV vulnerability database in real time. For each CVE you can see the severity, the affected version ranges, and the first fixed version, so you know exactly which skl2onnx version is safe to install before you ship.
skl2onnx is distributed under the Apache License v2.0. PyDeps also shows the license of every dependency in the tree so you can audit license compatibility across your whole skl2onnx install, not just the top-level package.
Install from PyPI with pip install skl2onnx. For offline or air-gapped environments, PyDeps can download skl2onnx together with every resolved dependency as wheel files in a single bundle, matched to your target Python version and operating system.
Switch to the dependents view to see the reverse dependencies of skl2onnx — the PyPI packages that list skl2onnx as a requirement. Reverse dependencies are a strong signal of how widely a package is trusted and how disruptive a breaking change would be.