Piper
A software manager for easy development and distribution of Python code.
The main features that Piper adds to Python are:
- Support for large-scale, multi-package projects
- Reproducibility (clear, transparent dependency management)
- Robust development-lifecycle, from blueprinting to distribution
Piper is inspired by what Maven is for Java and uses Pip and Virtual Environments.
Why Piper
Python is great in many things, particularly for scripting. But it is powerful enough to create complex software too. Still, when doing so, it lacks some robustness and quickness.
Instead:
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Piper lets you forget about repetitive setup of Python projects, with creation of Virtual Environments, issues with imports, PYTHONPATH, folder structures. It does all of this for you.
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Piper ensures that when you run a Python script, all its requirements are implicitly installed. Along with reproducibility, this makes room for easy collaboration between developers.
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Also, while with standard tools it's hard to have multiple packages, one requiring the other, with Piper is a matter of few YAML files. You can split your project in several packages instead of having tons of requirements, code replication and/or single package-monoliths.
All in all, Piper lets you design proper structure and modularity for your code. No worries about imports and low-level stuff.
Example of Piper Project
You can find an example of Piper project here.
