LazyRunner is a framework for organized scientific computing. It aims to make it easy to write properly designed programs as quickly as hacked-together scripts while providing useful features (such as caching of results) that often take a fair bit of effort and planning to implement in most scientific projects.
- Fast project startup:
- Starting up a complete new project is as easy as typing Z --init on the command line.
- Minimal Learning Curve:
- The program is thoroughly documented. The command line version of the program creates template files for new components of the code.
- Intuitive and simple:
- A modular structure with easily-specified dependencies allow the entire programming process to be intuitive. .
- In-code documentation for the modules easily turns into a reference site using Sphinx.
The development of LazyRunner grew out of my frustration at the length of time often required to write good, reusable scientific code. It seems there are often two options – either throw together some scripts that work but are hard to reuse, or spend a reasonable amount of time on writing boilerplate code.
Now admittedly, my standards for “good” code are pretty high relative to much of the scientific coding community (e.g. TreeDict, my parameter-handling library, has hundreds of unit tests). Thus good coding practices are a must.
This library was motivated by realizing that most of the boilerplate required to organize scientific code can be abstracted into a common framework. LazyRunner’s workflow – a modular structure with centralized and hierarchical parameter organization – works well for most scientific projects.
Development of LazyRunner was supported in part by NGA grant HM1582-06-1-2035.