Wordninja is used in Python projects. Probabilistically split concatenated words using NLP based on English Wikipedia uni-gram frequencies. It has no required runtime dependencies, making it lightweight to install. Check its dependency graph on PyDeps to understand the full transitive dependency tree, reverse dependents, known CVEs, and license compatibility before installing.
Probabilistically split concatenated words using NLP based on English Wikipedia uni-gram frequencies.
wordninja has no required runtime dependencies. Installing it adds no transitive packages to your environment, which keeps installs small and minimizes the supply-chain surface you need to audit.
Beyond its direct dependencies, wordninja 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 wordninja, expand any node on demand, and understand the full set of code that ships when you run pip install wordninja.
PyDeps checks wordninja 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 wordninja version is safe to install before you ship.
wordninja is distributed under the Unknown license. PyDeps also shows the license of every dependency in the tree so you can audit license compatibility across your whole wordninja install, not just the top-level package.
Install from PyPI with pip install wordninja. For offline or air-gapped environments, PyDeps can download wordninja 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 wordninja — the PyPI packages that list wordninja as a requirement. Reverse dependencies are a strong signal of how widely a package is trusted and how disruptive a breaking change would be.