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
Project sponsored by Flight Data Services and released under the Open Software License (OSL-3.0).
Package requires pip
for installation. :
pip install FilterPype
Source code is available from GitHub:
Documentation is available from the Python Package Index: