Bigframes is used in Python projects. BigQuery DataFrames -- scalable analytics and machine learning with BigQuery It has 31 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.
BigQuery DataFrames -- scalable analytics and machine learning with BigQuery
bigframes declares 31 direct runtime dependencies on PyPI. Each one is resolved into the full dependency tree below:
Beyond its direct dependencies, bigframes 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 bigframes, expand any node on demand, and understand the full set of code that ships when you run pip install bigframes.
PyDeps checks bigframes 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 bigframes version is safe to install before you ship.
bigframes 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 bigframes install, not just the top-level package.
Install from PyPI with pip install bigframes. For offline or air-gapped environments, PyDeps can download bigframes 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 bigframes — the PyPI packages that list bigframes as a requirement. Reverse dependencies are a strong signal of how widely a package is trusted and how disruptive a breaking change would be.