Neo4j is used in Python projects. Neo4j Bolt driver for Python It has 1 direct runtime dependency. Check its dependency graph on PyDeps to understand the full transitive dependency tree, reverse dependents, known CVEs, and license compatibility before installing.
Neo4j Bolt driver for Python
neo4j declares 1 direct runtime dependency on PyPI. Each one is resolved into the full dependency tree below:
Beyond its direct dependencies, neo4j 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 neo4j, expand any node on demand, and understand the full set of code that ships when you run pip install neo4j.
PyDeps checks neo4j 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 neo4j version is safe to install before you ship.
neo4j is distributed under the Apache-2.0 AND Python-2.0 license. PyDeps also shows the license of every dependency in the tree so you can audit license compatibility across your whole neo4j install, not just the top-level package.
Install from PyPI with pip install neo4j. For offline or air-gapped environments, PyDeps can download neo4j 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 neo4j — the PyPI packages that list neo4j as a requirement. Reverse dependencies are a strong signal of how widely a package is trusted and how disruptive a breaking change would be.