pydoit/doit: task management & automation tool (python)

doit comes from the idea of bringing the power of build-tools to execute any
kind of task

doit can be uses as a simple Task Runner allowing you to easily define ad
hoc tasks, helping you to organize all your project related tasks in an unified
easy-to-use & discoverable way.

doit scales-up with an efficient execution model like a build-tool
doit creates a DAG (direct acyclic graph) and is able to cache task results.
It ensures that only required tasks will be executed and in the correct order
(aka incremental-builds).

The up-to-date check to cache task results is not restricted to looking for
file modification on dependencies.  Nor it requires "target" files.
So it is also suitable to handle workflows not handled by traditional build-tools.

Tasks' dependencies and creation can be done dynamically during it is execution
making it suitable to drive complex workflows and pipelines.

doit is build with a plugin archtecture allowing extensible commands, custom
output, storage backend and "task loader". It also provides an API allowing
users to create new applications/tools leveraging doit functionality like a framework.

doit is a mature project being actively developed for more than 10 years.
It includes several extras like: parallel execution, auto execution (watch for file
changes), shell tab-completion, DAG visualisation, IPython integration, and more.