Introduction
FilterPype is being used for multi-level data analysis, but could be applied to
many other areas where it is difficult to split up a system into small
independent parts.
Some of its features:
- Advanced algorithms broken down into simple data filter coroutines
- Pipelines constructed from filters in the new FilterPype mini-language
- Domain experts assemble pipelines with no Python knowledge required
- Sub-pipelines and filters linked by automatic pipeline construction
- All standard operations available: branching, joining and looping
- Recursive coroutine pipes allowing calculation of e.g. factorials
- Using it is like writing a synchronous multi-threaded program
Package requires pip for installation.
Project sponsored by Flight Data Services Ltd: http://www.flightdataservices.com/