Rake is a software build tool written in Ruby (like ant or make), and so all its files are written in this language. Does something like this exist in Python?
问题:
回答1:
Paver has a similar set of goals, though I don't really know how it compares.
回答2:
Invoke — Fabric without the SSH dependencies.
The Fabric roadmap discusses that Fabric 1.x will be split into three portions:
- Invoke — The non-SSH task execution.
- Fabric 2.x — The remote execution and deployment library that utilizes Invoke.
- Patchwork — The "common deployment/sysadmin operations, built on Fabric."
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.
Below are a few descriptive statements from Invoke's website:
- 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 tasks.py file.
回答3:
Shovel seems promising:
Shovel — Rake for Python
https://github.com/seomoz/shovel
回答4:
Waf is a Python-based framework for configuring, compiling and installing applications. It derives from the concepts of other build tools such as Scons, Autotools, CMake or Ant.
回答5:
Although it is more commonly used for deployment, Fabric might be interesting for this use case.
回答6:
There is also doit - I came across it while looking for these things a while ago, though I didn't get very far with evaluating it.
回答7:
Also check out buildout, which isn't so much a make system for software, as a make system for a deployment.
http://pypi.python.org/pypi/pysqlite/2.5.5
So it's not a direct rake equivalent, but may be a better match for what you want to do, or a really lousy one.
回答8:
There is Phantom in Boo (which isn't python but nearly).
回答9:
I would check out distutils
:
The
distutils
package provides support for building and installing additional modules into a Python installation. The new modules may be either 100%-pure Python, or may be extension modules written in C, or may be collections of Python packages which include modules coded in both Python and C.