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/

History