Decord2 is used in Python projects. Decord2 is a high-performance, efficient video decoding and loading library for deep learning research, featuring smart shuffling, random frame access, GPU acceleration, and seamless integration with popular frameworks. It has 1 direct runtime dependency. Check its dependency graph on PyDeps to understand the full transitive dependency tree, reverse dependents, known CVEs, and license compatibility before installing.
Decord2 is a high-performance, efficient video decoding and loading library for deep learning research, featuring smart shuffling, random frame access, ...
decord2 declares 1 direct runtime dependency on PyPI. Each one is resolved into the full dependency tree below:
Beyond its direct dependencies, decord2 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 decord2, expand any node on demand, and understand the full set of code that ships when you run pip install decord2.
PyDeps checks decord2 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 decord2 version is safe to install before you ship.
decord2 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 decord2 install, not just the top-level package.
Install from PyPI with pip install decord2. For offline or air-gapped environments, PyDeps can download decord2 together with every resolved dependency as wheel files in a single bundle, matched to your target Python version and operating system.
Switch to the dependents view to see the reverse dependencies of decord2 — the PyPI packages that list decord2 as a requirement. Reverse dependencies are a strong signal of how widely a package is trusted and how disruptive a breaking change would be.