py-moneyed dependencies

Py Moneyed is used in Python projects. Provides Currency and Money classes for use in your Python code. It has 2 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.

What is py-moneyed?

Provides Currency and Money classes for use in your Python code.

What are the dependencies of py-moneyed?

py-moneyed declares 2 direct runtime dependencies on PyPI. Each one is resolved into the full dependency tree below:

py-moneyed transitive dependencies

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

Does py-moneyed have known vulnerabilities (CVEs)?

PyDeps checks py-moneyed 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 py-moneyed version is safe to install before you ship.

What license does py-moneyed use?

py-moneyed is distributed under the BSD license. PyDeps also shows the license of every dependency in the tree so you can audit license compatibility across your whole py-moneyed install, not just the top-level package.

How to install py-moneyed with all dependencies

Install from PyPI with pip install py-moneyed. For offline or air-gapped environments, PyDeps can download py-moneyed 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 py-moneyed?

Switch to the dependents view to see the reverse dependencies of py-moneyed — the PyPI packages that list py-moneyed 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 py-moneyed

PyDeps