scenes-ml
Machine Learning extensions to Grafana Scenes
APACHE-2.0 License
Ecosystems:
Grafana
What is this?
This library contains a collection of @grafana/scenes objects which can be added to your Scenes to run interactive, responsive machine learning algorithms directly in the browser.
@grafana/scenes-ml currently contains implementations of the following:
- forecasting (using the MSTL/ETS algorithms)
- outlier detection (using the median absolute difference or DBSCAN algorithms)
- changepoint detection (using either Bayesian Online Changepoint Detection or Autoregressive Gaussian Process Changepoint Detection)
Under the hood, the heavy lifting is largely powered by the augurs library, which runs inside WebAssembly.
See that library for more information on the underlying algorithms.
Usage
See the library README for usage documentation.
Development
To work on @grafana/scenes-ml, please follow the guides below.
Setting up local version of @grafana/scenes-ml with an app plugin
- Run
YARN_IGNORE_PATH=1 yarn linkfrompackages/scenes-mldirectory. - Run
yarn devfrompackages/scenes-mldirectory. - Run
yarn link @grafana/scenes-mlfrom app plugin directory. - Start app plugin development server.
Demo app
Alternatively, use the demo app included in this repository.
Package Rankings
Top 34.44% on Npmjs.org