Dataclasses is used in Python projects. A backport of the dataclasses module for Python 3.6 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.
A backport of the dataclasses module for Python 3.6
dataclasses 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, dataclasses 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 dataclasses, expand any node on demand, and understand the full set of code that ships when you run pip install dataclasses.
PyDeps checks dataclasses 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 dataclasses version is safe to install before you ship.
dataclasses is distributed under the Apache license. PyDeps also shows the license of every dependency in the tree so you can audit license compatibility across your whole dataclasses install, not just the top-level package.
Install from PyPI with pip install dataclasses. For offline or air-gapped environments, PyDeps can download dataclasses 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 dataclasses — the PyPI packages that list dataclasses as a requirement. Reverse dependencies are a strong signal of how widely a package is trusted and how disruptive a breaking change would be.