liger-kernel dependencies

Liger Kernel is used in Python projects. Efficient Triton kernels for LLM Training 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 liger-kernel?

Efficient Triton kernels for LLM Training

What are the dependencies of liger-kernel?

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

liger-kernel transitive dependencies

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

Does liger-kernel have known vulnerabilities (CVEs)?

PyDeps checks liger-kernel 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 liger-kernel version is safe to install before you ship.

What license does liger-kernel use?

liger-kernel 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 liger-kernel install, not just the top-level package.

How to install liger-kernel with all dependencies

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

Switch to the dependents view to see the reverse dependencies of liger-kernel — the PyPI packages that list liger-kernel 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 liger-kernel

PyDeps