Python has a built-in topological dependency sorter!🚀

If you're working with tasks that have dependencies — for example, in build systems, CI/CD pipelines, or workflow orchestration — the order of execution often has to be determined manually.

Usually through graphs, DFS,, or custom execution order logic.

But Python's standard library already has graphlib.TopologicalSorter.

ts = TopologicalSorter()
ts.add("deploy", "test")
ts.add("test", "build")

After preparation, the sorter returns the correct execution order.

tuple(ts.static_order())

Result:

("build", "test", "deploy")

Especially useful for workflow management systems, dependency resolution, orchestration systems, and any tasks with a dependency graph.

🔥 TopologicalSorter allows you to solve dependency problems using Python's built-in tools without having to implement graph algorithms manually.