Orca is an Electron app that generates images and reports of Plotly things like plotly.js graphs, dash apps, dashboards from the command line. Additionally, Orca is the backbone of Plotly's Image Server. Orca is also an acronym for Open-source Report Creator App.

Visit plot.ly to learn more or visit the Plotly forum.

Follow @plotlygraphs on Twitter for Orca announcements.

If you have conda installed, you can easily install Orca from the plotly conda channel using:

$ conda install -c plotly plotly-orca

which makes the orca executable available on the path of current conda environment.

If you have Node.js installed (recommended v8.x), you can easily install Orca using npm as:

$ npm install -g [email protected] orca

which makes the orca executable available in your path.

$ docker pull quay.io/plotly/orca

If no arguments are specified, it starts an Orca server on port 9091. You can publish the port to the outside world the usual way:

$ docker run -d -p 9091:9091 quay.io/plotly/orca

If the first argument is graph, it executes the command line application orca graph:

$ docker run -i quay.io/plotly/orca graph --help

Alternatively, you can download the standalone Orca binaries corresponding to your operating system from the release page. Then, on

• Unzip the mac-release.zip file.
• Double-click on the orca-X.Y.Z.dmg file. This will open an installation window.
• Drag the orca icon into the Applications folder.
• Open finder and navigate to the Applications/ folder.
• Right-click on the orca icon and select Open from the context menu.
• A password dialog will appear asking for permission to add orca to your system PATH.
• Enter you password and click OK.
• This should open an Installation Succeeded window.
• Open a new terminal and verify that the orca executable is available on your PATH.

$ which orca
/usr/local/bin/orca

$ orca --help
Plotly's image-exporting utilities

  Usage: orca [--version] [--help] <command> [<args>]
  ...

• Extract the windows-release.zip file.
• In the release folder, double-click on orca Setup X.Y.Z, this will create an orca icon on your Desktop.
• Right-click on the orca icon and select Properties from the context menu.
• From the Shortcut tab, copy the directory in the Start in field.
• Add this Start in directory to you system PATH (see below).
• Open a new Command Prompt and verify that the orca executable is available on your PATH.

> orca --help
Plotly's image-exporting utilities

  Usage: orca [--version] [--help] <command> [<args>]
  ...

• How to set the path and environment variables in Windows: https://www.computerhope.com/issues/ch000549.htm

• Make the orca AppImage executable.

$ chmod +x orca-X.Y.Z-x86_64.AppImage

• Create a symbolic link named orca somewhere on your PATH that points to the AppImage.

$ ln -s /path/to/orca-X.Y.Z-x86_64.AppImage /somewhere/on/PATH/orca

• Open a new terminal and verify that the orca executable is available on your PATH.

$ which orca
/somewhere/on/PATH/orca

$ orca --help
Plotly's image-exporting utilities

  Usage: orca [--version] [--help] <command> [<args>]
  ...

The Electron runtime depends a several common system libraries. These libraries are pre-installed in most desktop Linux distributions (e.g. Ubuntu), but are not pre-installed on some server Linux distributions (e.g. Ubuntu Server). If a shared library is missing, you will see an error message like:

$ orca --help
orca: error while loading shared libraries: libgtk-x11-2.0.so.0:
cannot open shared object file: No such file or directory

These additional dependencies can be satisfied by installing:

• The libgtk2.0-0 and libgconf-2-4 packages from your distribution's software repository.
• The chromium-browser package from your distribution's software repository.

The Electron runtime requires the presence of an active X11 display server, but many server Linux distributions (e.g. Ubuntu Server) do not include X11 by default. If you do not wish to install X11 on your server, you may install and run orca with Xvfb instead.

On Ubuntu Server, you can install Xvfb like this:

$ sudo apt-get install xvfb

To run orca under Xvfb, replace the symbolic link suggested above with a shell script that runs the orca AppImage executable using the xvfb-run command.

#!/bin/bash
xvfb-run -a /path/to/orca-X.Y.Z-x86_64.AppImage "$@"

Name this shell script orca and place it somewhere on your system PATH.

• How to add directory to system path in Linux: https://www.computerhope.com/issues/ch001647.htm
• AppImage: https://appimage.org/
• Xvfb: https://en.wikipedia.org/wiki/Xvfb

From the command line: Unix/MacOS:

$ orca graph '{ "data": [{"y": [1,2,1]}] }' -o fig.png

Windows:

orca graph "{ \"data\": [{\"y\": [1,2,1]}] }" -o fig.png

generates a PNG from the inputted plotly.js JSON attributes. Or,

$ orca graph https://plot.ly/~empet/14324.json --format svg

generates an SVG from a plotly.js JSON hosted on plot.ly.

When running

To print info about the supported arguments, run:

$ orca --help
$ orca <command> --help

To call orca from a Python script:

from subprocess import call
import json
import plotly

fig = {"data": [{"y": [1,2,1]}]}
call(['orca', 'graph', json.dumps(fig, cls=plotly.utils.PlotlyJSONEncoder)])

To call orca from an R script:

library(plotly)

p <- plot_ly(x = 1:10, y = 1:10, color = 1:10)
orca(p, "plot.svg")

Using the orca npm module allows developers to build their own Plotly exporting tool. We export two Electron app creator methods run and serve. Both methods return an Electron app object (which is an event listener/emitter).

To create a runner app:

// main.js

const orca = require('orca/src')

const app = orca.run({
  component: 'plotly-graph',
  input: 'path-to-file' || 'glob*' || url || '{data: [], layout: {}}' || [/* array of those */],
  debug: true
})

app.on('after-export', (info) => {
  fs.writeFile('output.png', info.body, (err) => console.warn(err))
})

// other available events:
app.on('after-export-all', () => {})
app.on('export-error', () => {})
app.on('renderer-error', () => {})

then launch it with electron main.js

Or, to create a server app:

// main.js

const orca = require('orca/src')

const app = orca.serve({
  port: 9090,
  component: 'component name ' || [{
    name: 'plotly-graph',
    path: /* path to module if none given, tries to resolve ${name} */,
    route: /* default to same as ${name} */,

    // other options passed to component methods
    options: {
      plotlyJS: '',
      mathjax: '',
      topojson: '',
      mapboxAccessToken: ''
    }
  }, {
    // other component
  }, {
    // other component ...
  }],

  debug: false || true
})

app.on('after-export', (info) => {
  console.log(info)
})

// other available events:
app.on('after-connect', () => {})
app.on('export-error', () => {})
app.on('renderer-error', () => {})

then launch it with electron main.js

Plotly's image server is dockerized and deployed here. See the deployment/ README for more info.

If you don't care about exporting EPS or EMF you can skip this section.

The environment you're installing this into may require Poppler for EPS exports and Inkscape for EMF exports.

$ apt-get install poppler-utils (requires `sudo` or root privileges)

$ brew install poppler

$ apt-get install inkscape (requires `sudo` or root privileges)

$ brew install inkscape

See CONTRIBUTING.md. You can also contact us if you would like a specific feature added.

Tests and Linux builds	Mac OS build	Windows build	Docker build

Code released under the MIT © License.