Update README.md

Author: hamishfagg

README.md

@@ -1,19 +1,18 @@
 # MindsDB Forecast Visualizer
 
+:warning:  This repository is now archived and won’t be maintained further. We recommend using other libraries such as ![nixtla/utilsforecast](https://nixtlaverse.nixtla.io/utilsforecast/plotting.html) instead
+
 The purpose of this tool is to aid in obtaining quick visualizations for time series forecasts provided by a Lightwood predictor.
 
 ![](./docs/plot.png)
 
-At the moment, the tool supports predictors trained with `lightwood >= 1.0`, but support for 3rd party models is coming soon~ish.
+The tool supports predictors trained with `lightwood >= 1.0`.
 
 ## Documentation
 
-For now, there is no documentation as the package itself is fairly minimal.
-
-However, most functionality is showcased through examples. Please refer to:
-
+There is no documentation. Most functionality is showcased through examples. Please refer to:
 * `example/train.py` to train a Lightwood forecaster for airplane arrival data (which includes 4 different time series)
 * `example/visualize.py` to plot predictions from this model in your web browser
 * `example/visualize.ipynb` to plot predictions from this model inside a jupyter notebook
 
-Note: if you've cloned the repository (as opposed to `pip install`ing), make sure the path to `mindsdb_forecast_visualizer` is added to your python path environment variable before running these scripts from the package root folder.
+Note: if you’ve cloned the repository (as opposed to `pip install`ing), make sure the path to `mindsdb_forecast_visualizer` is added to your python path environment variable before running these scripts from the package root folder.