MTAP is a framework for distributed text analysis using gRPC and microservices-based architecture. MTAP is used to create independent, scalable, interoperable text analysis pipeline components in either Python or Java.
- Operating System: We test on Ubuntu 22.04 and MacOS Big Sur, but other UNIX-like distributions should work.
- Python 3.9+ We test on Python 3.9 and the latest stable version of Python.
- Optional: Java 11+ (If you want to create Java Processors) We test on Java 11 and the latest stable version of Java.
- Optional: Go 13+ if you want to run the RESTful API Gateway.
We make getting started tutorials available on our project website for both Python and Java.
MTAP is developed at the University of Minnesota by the NLP/IE Group in the Institute for Health Informatics.
Funding for this work was provided by:
- 1 R01 LM011364-01 NIH-NLM
- 1 R01 GM102282-01A1 NIH-NIGMS
- U54 RR026066-01A2 NIH-NCRR