jdcal dependencies

Jdcal is used in Python projects. Julian dates from proleptic Gregorian and Julian calendars. 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.

What is jdcal?

Julian dates from proleptic Gregorian and Julian calendars.

What are the dependencies of jdcal?

jdcal 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.

jdcal transitive dependencies

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

Does jdcal have known vulnerabilities (CVEs)?

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

What license does jdcal use?

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

How to install jdcal with all dependencies

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

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

PyDeps