cssbeautifier dependencies

Cssbeautifier is used in Python projects. CSS unobfuscator and beautifier. 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 cssbeautifier?

CSS unobfuscator and beautifier.

What are the dependencies of cssbeautifier?

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

cssbeautifier transitive dependencies

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

Does cssbeautifier have known vulnerabilities (CVEs)?

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

What license does cssbeautifier use?

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

How to install cssbeautifier with all dependencies

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

Switch to the dependents view to see the reverse dependencies of cssbeautifier — the PyPI packages that list cssbeautifier 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 cssbeautifier

PyDeps