Docling Ibm Models is used in Python projects. This package contains the AI models used by the Docling PDF conversion package It has 13 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.
This package contains the AI models used by the Docling PDF conversion package
docling-ibm-models declares 13 direct runtime dependencies on PyPI. Each one is resolved into the full dependency tree below:
Beyond its direct dependencies, docling-ibm-models 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 docling-ibm-models, expand any node on demand, and understand the full set of code that ships when you run pip install docling-ibm-models.
PyDeps checks docling-ibm-models 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 docling-ibm-models version is safe to install before you ship.
docling-ibm-models is distributed under the MIT license. PyDeps also shows the license of every dependency in the tree so you can audit license compatibility across your whole docling-ibm-models install, not just the top-level package.
Install from PyPI with pip install docling-ibm-models. For offline or air-gapped environments, PyDeps can download docling-ibm-models 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 docling-ibm-models — the PyPI packages that list docling-ibm-models as a requirement. Reverse dependencies are a strong signal of how widely a package is trusted and how disruptive a breaking change would be.