Merge pull request #172 from streamlet-dev/timkpaine-patch-1

Add Loman reference

Author: timkpaine

README.md

@@ -8,7 +8,7 @@ Python Data Streams
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/streamlet-dev/tributary/main?urlpath=lab)
 
 
-Tributary is a library for constructing dataflow graphs in python. Unlike many other DAG libraries in python ([airflow](https://airflow.apache.org), [luigi](https://luigi.readthedocs.io/en/stable/), [prefect](https://docs.prefect.io), [dagster](https://docs.dagster.io), [dask](https://dask.org), [kedro](https://github.com/quantumblacklabs/kedro), etc), tributary is not designed with data/etl pipelines or scheduling in mind. Instead, tributary is more similar to libraries like [mdf](https://github.com/man-group/mdf), [pyungo](https://github.com/cedricleroy/pyungo), [streamz](https://streamz.readthedocs.io/en/latest/), or [pyfunctional](https://github.com/EntilZha/PyFunctional), in that it is designed to be used as the implementation for a data model. One such example is the [greeks](https://github.com/streamlet-dev/greeks) library, which leverages tributary to build data models for [options pricing](https://www.investopedia.com/articles/optioninvestor/07/options_beat_market.asp). 
+Tributary is a library for constructing dataflow graphs in python. Unlike many other DAG libraries in python ([airflow](https://airflow.apache.org), [luigi](https://luigi.readthedocs.io/en/stable/), [prefect](https://docs.prefect.io), [dagster](https://docs.dagster.io), [dask](https://dask.org), [kedro](https://github.com/quantumblacklabs/kedro), etc), tributary is not designed with data/etl pipelines or scheduling in mind. Instead, tributary is more similar to libraries like [mdf](https://github.com/man-group/mdf), [loman](https://github.com/janushendersonassetallocation/loman), [pyungo](https://github.com/cedricleroy/pyungo), [streamz](https://streamz.readthedocs.io/en/latest/), or [pyfunctional](https://github.com/EntilZha/PyFunctional), in that it is designed to be used as the implementation for a data model. One such example is the [greeks](https://github.com/streamlet-dev/greeks) library, which leverages tributary to build data models for [options pricing](https://www.investopedia.com/articles/optioninvestor/07/options_beat_market.asp). 
 
 ![](https://raw.githubusercontent.com/streamlet-dev/tributary/main/docs/img/example.gif)