autoray dependencies

Autoray is used in Python projects. Abstract your array operations. 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 autoray?

Abstract your array operations.

What are the dependencies of autoray?

autoray 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.

autoray transitive dependencies

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

Does autoray have known vulnerabilities (CVEs)?

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

What license does autoray use?

autoray is distributed under the Apache-2.0 license. PyDeps also shows the license of every dependency in the tree so you can audit license compatibility across your whole autoray install, not just the top-level package.

How to install autoray with all dependencies

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

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

PyDeps