Welcome to Invoke!¶
This website covers project information for Invoke such as the changelog, contribution guidelines, development roadmap, news/blog, and so forth. Detailed usage and API documentation can be found at our code documentation site, docs.pyinvoke.org.
Please see below for our README, or the navigation on the left for the rest of the site content.
While fully usable, Invoke is still pre-1.0 software and has no backwards compatibility guarantees until the 1.0 release occurs! Please make sure to read the changelog carefully anytime you upgrade!
Invoke is a Python (2.6+ and 3.3+) task execution tool & library, drawing inspiration from various sources to arrive at a powerful & clean feature set.
Like Ruby’s Rake tool and Invoke’s own predecessor Fabric 1.x, it provides a clean, high level API for running shell commands and defining/organizing task functions from a
from invoke import task @task def clean(ctx, docs=False, bytecode=False, extra=''): patterns = ['build'] if docs: patterns.append('docs/_build') if bytecode: patterns.append('**/*.pyc') if extra: patterns.append(extra) for pattern in patterns: ctx.run("rm -rf %s" % pattern) @task def build(ctx, docs=False): ctx.run("python setup.py build") if docs: ctx.run("sphinx-build docs docs/_build")
From GNU Make, it inherits an emphasis on minimal boilerplate for common patterns and the ability to run multiple tasks in a single invocation:
$ invoke clean build
Following the lead of most Unix CLI applications, it offers a traditional flag-based style of command-line parsing, deriving flag names and value types from task signatures (optionally, of course!):
$ invoke clean --docs --bytecode build --docs --extra='**/*.pyo' $ invoke clean -d -b build --docs -e '**/*.pyo' $ invoke clean -db build -de '**/*.pyo'
Like many of its predecessors, it offers advanced features as well – namespacing, task aliasing, before/after hooks, parallel execution and more.
For documentation, including detailed installation information, please see
http://pyinvoke.org. Post-install usage information may be found in
You can install the development version via
pip install -e