Databricks Sql Connector Dependency Graph

Databricks Sql Connector is used in Python projects. Databricks SQL Connector for Python It has 12 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 Databricks Sql Connector used for?

Databricks SQL Connector for Python

Direct dependencies

Databricks Sql Connector declares 12 direct runtime dependencies, each of which is resolved and rendered as an expandable node in the graph:

Transitive dependencies

Beyond its direct dependencies, Databricks Sql Connector pulls in further packages through its dependency tree. PyDeps walks the entire chain from PyPI and deps.dev so you can see every transitive (nested) dependency, expand any node on demand, and understand the full set of code that ships when you install Databricks Sql Connector.

Dependency risk and maintenance

Databricks Sql Connector is distributed under the Apache-2.0 license. Use the vulnerability panel, powered by the OSV database, to check whether Databricks Sql Connector or anything in its dependency tree has known CVEs before you ship, and review the license of every dependency to confirm compatibility with your project.

How to read the dependency graph

In the interactive graph each node is a package and each edge is a version constraint. Expand a node to load its subdependencies, switch to the dependents view to see which packages rely on Databricks Sql Connector, and download Databricks Sql Connector together with all of its dependencies as wheels for offline or air-gapped installs.

Related packages

PyDeps