quantities dependencies

Quantities is used in Python projects. Support for physical quantities with units, based on numpy 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.

What is quantities?

Support for physical quantities with units, based on numpy

What are the dependencies of quantities?

quantities declares 1 direct runtime dependency on PyPI. Each one is resolved into the full dependency tree below:

quantities transitive dependencies

Beyond its direct dependencies, quantities 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 quantities, expand any node on demand, and understand the full set of code that ships when you run pip install quantities.

Does quantities have known vulnerabilities (CVEs)?

PyDeps checks quantities 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 quantities version is safe to install before you ship.

What license does quantities use?

quantities 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 quantities install, not just the top-level package.

How to install quantities with all dependencies

Install from PyPI with pip install quantities. For offline or air-gapped environments, PyDeps can download quantities together with every resolved dependency as wheel files in a single bundle, matched to your target Python version and operating system.

Which packages depend on quantities?

Switch to the dependents view to see the reverse dependencies of quantities — the PyPI packages that list quantities as a requirement. Reverse dependencies are a strong signal of how widely a package is trusted and how disruptive a breaking change would be.

Packages related to quantities

PyDeps