---
title: "WindRose panel plugin for Grafana"
description: "Make windrose plots. WindRose panel plugin for Grafana by fatcloud. Available in Grafana Cloud and self-managed Grafana."
---

> This is the Markdown version of https://grafana.com/grafana/plugins/fatcloud-windrose-panel/

# WindRose

- Developer: fatcloud
- Version: 0.7.1

![Showcase](https://grafana.com/api/plugins/fatcloud-windrose-panel/versions/0.7.1/images/img/twocharts.png)

![Options](https://grafana.com/api/plugins/fatcloud-windrose-panel/versions/0.7.1/images/img/windroseoptions.png)

## Windrose Panel for Grafana

Render metrics into a windrose chart.

### Screenshots

![](https://i.imgur.com/ADjvKwA.png)

![](https://i.imgur.com/HXLgwLB.png)

### Environments

For linux ubuntu 16.04, first get nvm installed. some instructions can be found [here](https://www.digitalocean.com/community/tutorials/how-to-install-node-js-on-ubuntu-16-04).

After nvm installation, activate one engine. Here version 8.x is picked for no particular reason.

```
nvm install v8
nvm use v8
```

### Building

To complie, run:

```
npm install -g yarn
yarn install --pure-lockfile
grunt
```

### Roadmap

- This plugin is modified from [plotly panel for grafana](https://github.com/NatelEnergy/grafana-plotly-panel) and currently has many inconsistent variable names to be refactored.

### Authors and contributors

The Grafana Windrose Plugin was initiated as a part of the joint research project among RCAS, RCEC of Academia Sinica of Taiwan; NCHC, TORI of Natioanl Applied Research Laboratories of Taiwan and Taiwan Generations Corporation.  It was developed by Sea Bunny Corporation and released under MIT license.

The contacts of developers are

Chih-Yu Kuo Research Fellow, RCAS, Academia Sinica, Taipei, Taiwan <cykuo06@gate.sinica.edu.tw>

and

Chun-Yun Wang, Sea Bunny Corporation, Taipei, Taiwan. <cloud@seabunny.tech>

RCAS: Research Center for Applied Sciences, RCEC: Research Center for Environmental Changes, NCHC: National Center for High-performance Computing, TORI: Taiwan Ocean Research Institute.

The code based is modified from a fork of [plotly panel for grafana](https://github.com/NatelEnergy/grafana-plotly-panel).
