diff --git a/README.rst b/README.rst
index aef4e0188a..7a09305471 100644
--- a/README.rst
+++ b/README.rst
@@ -25,14 +25,16 @@ repository.
 
 ``jdaviz`` provides data viewers and analysis plugins that can be flexibly
 combined as desired to create interactive applications that fit your workflow.
-Three named preset configurations for common use cases are provided. **Specviz**
-is a tool for visualization and quick-look analysis of 1D astronomical spectra.
-**MOSviz** is a visualization tool for many astronomical spectra,
-typically the output of a multi-object spectrograph (e.g., JWST
-NIRSpec), and includes viewers for 1D and 2D spectra as well as
-contextual information like on-sky views of the spectrograph slit.
-**Cubeviz** provides a view of spectroscopic data cubes (like those to be
-produced by JWST MIRI), along with 1D spectra extracted from the cube.
+Several named preset configurations for common use cases are provided:
+
+* **Specviz**: Visualization and quick-look analysis of 1D astronomical spectra.
+* **MOSviz**: Visualization tool for many astronomical spectra,
+  typically the output of a multi-object spectrograph (e.g., JWST
+  NIRSpec), and includes viewers for 1D and 2D spectra as well as
+  contextual information like on-sky views of the spectrograph slit.
+* **Cubeviz**: View of spectroscopic data cubes (like those to be
+  produced by JWST MIRI), along with 1D spectra extracted from the cube.
+* **Imviz**: Visualization and quick-look analysis of 2D astronomical images.
 
 
 Installing
@@ -41,7 +43,6 @@ For details on installing and using JDAViz, see the
 `Jdaviz documentation <https://jdaviz.readthedocs.io/en/latest/>`_.
 
 
-
 License
 -------
 
diff --git a/docs/imviz/index.rst b/docs/imviz/index.rst
new file mode 100644
index 0000000000..3dae4002a3
--- /dev/null
+++ b/docs/imviz/index.rst
@@ -0,0 +1,30 @@
+(TODO: Nice logo here.)
+
+.. _imviz:
+
+#####
+Imviz
+#####
+
+Imviz is a tool for visualization and quick-look analysis of 2D astronomical
+images. Like the rest of `jdaviz`, it is written in the Python programming
+language, and therefore can be run anywhere Python is supported
+(see :doc:`../installation`). Imviz is built on top of the
+`astrowidgets <https://astrowidgets.readthedocs.io>`_ using
+`Glupyter <https://glue-jupyter.readthedocs.io>`_ backend, providing a visual,
+interactive interface to the analysis capabilities in that library.
+
+Imviz allows images to be easily displayed and examined. It supports WCS
+and so on. (TODO: Add content.)
+
+
+Using Imviz
+-----------
+
+To run Imviz in a notebook::
+
+    from jdaviz import Imviz
+    imviz = Imviz()
+    imviz.app
+
+(TODO: Add content.)
diff --git a/docs/index.rst b/docs/index.rst
index f0be8c39ac..09bf661584 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -38,6 +38,7 @@ Using Jdaviz
   specviz/index.rst
   cubeviz/index.rst
   mosviz/index.rst
+  imviz/index.rst
 
 Reference/API
 =============
diff --git a/docs/quickstart.rst b/docs/quickstart.rst
index 1a3dccfb35..2b3b0fab38 100644
--- a/docs/quickstart.rst
+++ b/docs/quickstart.rst
@@ -40,4 +40,4 @@ or simply start a new Jupyter notebook and run the following in a cell::
     app
 
 To learn more about the various ``jdaviz`` application configurations and loading data, see the :ref:`cubeviz`,
-:ref:`specviz`, or :ref:`mosviz` tools.
+:ref:`specviz`, :ref:`mosviz`, or :ref:`imviz` tools.
diff --git a/jdaviz/__init__.py b/jdaviz/__init__.py
index 3dfdf818a4..c22aa5bce1 100644
--- a/jdaviz/__init__.py
+++ b/jdaviz/__init__.py
@@ -12,3 +12,4 @@
 from jdaviz.configs.specviz2d import Specviz2d  # noqa
 from jdaviz.configs.mosviz import MosViz  # noqa
 from jdaviz.configs.cubeviz import CubeViz  # noqa
+from jdaviz.configs.imviz import Imviz  # noqa
diff --git a/jdaviz/cli.py b/jdaviz/cli.py
index 8901a0ec2b..34541dd49d 100644
--- a/jdaviz/cli.py
+++ b/jdaviz/cli.py
@@ -18,8 +18,8 @@
               default='default',
               nargs=1,
               show_default=True,
-              type=click.Choice(['default', 'cubeviz', 'specviz', 'mosviz'],
-                                case_sensitive=False),
+              type=click.Choice(['default', 'cubeviz', 'specviz', 'mosviz',
+                                 'imviz'], case_sensitive=False),
               help="Configuration to use on application startup")
 def main(filename, layout='default'):
     """
diff --git a/jdaviz/configs/__init__.py b/jdaviz/configs/__init__.py
index 0870d2aedc..957cbeb45f 100644
--- a/jdaviz/configs/__init__.py
+++ b/jdaviz/configs/__init__.py
@@ -2,3 +2,4 @@
 from .specviz import *  # noqa
 from .default import *  # noqa
 from .mosviz import *  # noqa
+from .imviz import *  # noqa
diff --git a/jdaviz/configs/imviz/__init__.py b/jdaviz/configs/imviz/__init__.py
new file mode 100644
index 0000000000..1abedfa2a4
--- /dev/null
+++ b/jdaviz/configs/imviz/__init__.py
@@ -0,0 +1,2 @@
+from .plugins import *  # noqa
+from .helper import Imviz  # noqa
diff --git a/jdaviz/configs/imviz/helper.py b/jdaviz/configs/imviz/helper.py
new file mode 100644
index 0000000000..18524e62f7
--- /dev/null
+++ b/jdaviz/configs/imviz/helper.py
@@ -0,0 +1,12 @@
+from jdaviz.core.helpers import ConfigHelper
+
+__all__ = ['Imviz']
+
+
+class Imviz(ConfigHelper):
+    """Imviz helper class."""
+
+    _default_configuration = "imviz"
+
+    def show(self):
+        self.app
diff --git a/jdaviz/configs/imviz/imviz.ipynb b/jdaviz/configs/imviz/imviz.ipynb
new file mode 100644
index 0000000000..4c31883657
--- /dev/null
+++ b/jdaviz/configs/imviz/imviz.ipynb
@@ -0,0 +1,38 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from jdaviz import Imviz\n",
+    "\n",
+    "imviz = Imviz()\n",
+    "imviz.load_data('DATA_FILENAME')\n",
+    "imviz.app"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/jdaviz/configs/imviz/imviz.yaml b/jdaviz/configs/imviz/imviz.yaml
new file mode 100644
index 0000000000..d0033d6939
--- /dev/null
+++ b/jdaviz/configs/imviz/imviz.yaml
@@ -0,0 +1,20 @@
+settings:
+  configuration: imviz
+  data:
+    parser: imviz-image-parser
+  visible:
+    menu_bar: false
+    toolbar: false
+    tray: false
+    tab_headers: false
+  context:
+    notebook:
+      max_height: 600px
+viewer_area:
+  - container: col
+    children:
+      - container: row
+        viewers:
+          - name: Image
+            plot: imviz-image-viewer
+            reference: imviz-image-viewer
diff --git a/jdaviz/configs/imviz/plugins/__init__.py b/jdaviz/configs/imviz/plugins/__init__.py
new file mode 100644
index 0000000000..641aaeb153
--- /dev/null
+++ b/jdaviz/configs/imviz/plugins/__init__.py
@@ -0,0 +1,2 @@
+from .viewers import *  # noqa
+from .parsers import *  # noqa
diff --git a/jdaviz/configs/imviz/plugins/parsers.py b/jdaviz/configs/imviz/plugins/parsers.py
new file mode 100644
index 0000000000..e260835698
--- /dev/null
+++ b/jdaviz/configs/imviz/plugins/parsers.py
@@ -0,0 +1,27 @@
+import pathlib
+
+from astropy.nddata import CCDData
+
+from jdaviz.core.registries import data_parser_registry
+
+__all__ = ["imviz_image_parser"]
+
+
+@data_parser_registry("imviz-image-parser")
+def imviz_image_parser(app, data, data_label=None, show_in_viewer=True):
+    """Loads an image into Imviz"""
+    # If no data label is assigned, give it a unique identifier
+    if not data_label:
+        from astrowidgets.glupyter import _gen_random_label
+        data_label = _gen_random_label(prefix="imviz_data|")
+
+    path = pathlib.Path(data)
+    if path.is_file():
+        # TODO: Support other image formats
+        data = CCDData.read(path)
+    else:
+        raise FileNotFoundError(f"No such file: {path}")
+
+    app.add_data(data, data_label)
+    if show_in_viewer:
+        app.add_data_to_viewer("imviz-image-viewer", data_label, clear_other_data=True)
diff --git a/jdaviz/configs/imviz/plugins/viewers.py b/jdaviz/configs/imviz/plugins/viewers.py
new file mode 100644
index 0000000000..7e3de5b368
--- /dev/null
+++ b/jdaviz/configs/imviz/plugins/viewers.py
@@ -0,0 +1,68 @@
+from astrowidgets.glupyter import ImageWidget
+from glue.core import BaseData
+
+from jdaviz.core.registries import viewer_registry
+
+__all__ = ['ImvizImageView']
+
+
+@viewer_registry("imviz-image-viewer", label="Image 2D (Imviz)")
+class ImvizImageView(ImageWidget):
+    """Image widget for Imviz."""
+
+    default_class = None
+
+    # session is a glue thing
+    def __init__(self, session, *args, **kwargs):
+
+        super().__init__(*args, **kwargs)
+        self._viewer._session = session
+
+    # More glue things
+
+    def register_to_hub(self, *args, **kwargs):
+        self._viewer.register_to_hub(*args, **kwargs)
+
+    def add_data(self, data):
+        self._viewer.add_data(data)
+        self._link_image_to_cb()
+
+    def remove_data(self, data):
+        self._viewer.remove_data(data)
+        self.viewer.interaction = None
+
+    @property
+    def toolbar_selection_tools(self):
+        return self._viewer.toolbar_selection_tools
+
+    @property
+    def figure_widget(self):
+        return self
+
+    @property
+    def layer_options(self):
+        return self._viewer.layer_options
+
+    @property
+    def viewer_options(self):
+        return self._viewer.viewer_options
+
+    @property
+    def state(self):
+        return self._viewer.state
+
+    def set_plot_axes(self):
+        self.viewer.axes[1].tick_format = None
+        self.viewer.axes[0].tick_format = None
+
+        self.viewer.axes[1].label = "y: pixels"
+        self.viewer.axes[0].label = "x: pixels"
+
+        # Make it so y axis label is not covering tick numbers.
+        self.viewer.axes[1].label_offset = "-50"
+
+    def data(self, cls=None):
+        return [layer_state.layer
+                for layer_state in self._viewer.state.layers
+                if hasattr(layer_state, 'layer') and
+                isinstance(layer_state.layer, BaseData)]
diff --git a/jdaviz/configs/imviz/tests/__init__.py b/jdaviz/configs/imviz/tests/__init__.py
new file mode 100644
index 0000000000..6bd08d5bf6
--- /dev/null
+++ b/jdaviz/configs/imviz/tests/__init__.py
@@ -0,0 +1 @@
+"""Tests for Imviz image viewer."""
diff --git a/jdaviz/core/config.py b/jdaviz/core/config.py
index d92484f340..ce45df7808 100644
--- a/jdaviz/core/config.py
+++ b/jdaviz/core/config.py
@@ -39,6 +39,8 @@ def read_configuration(path=None):
         path = default_path / "mosviz" / "mosviz.yaml"
     elif path == 'specviz2d':
         path = default_path / "specviz2d" / "specviz2d.yaml"
+    elif path == 'imviz':
+        path = default_path / "imviz" / "imviz.yaml"
     elif not os.path.isfile(path):
         raise ValueError("Configuration must be path to a .yaml file.")
 
diff --git a/notebooks/concepts/Imviz concept notebook.ipynb b/notebooks/concepts/Imviz concept notebook.ipynb
new file mode 100644
index 0000000000..a5f48ae05e
--- /dev/null
+++ b/notebooks/concepts/Imviz concept notebook.ipynb	
@@ -0,0 +1,130 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Imviz\n",
+    "\n",
+    "Special software requirements:\n",
+    "\n",
+    "* Dev version of `glue-jupyter`\n",
+    "* Latest `bqplot-image-gl` might work though I used dev version too\n",
+    "* `astrowidgets` from https://github.com/astropy/astrowidgets/pull/131\n",
+    "\n",
+    "Known issues:\n",
+    "\n",
+    "* Mouse interaction for cursor info panel breaks when you use scroll/pan GUI from the toolbar.\n",
+    "* To regain mouse interaction, you need to go into Data layer to uncheck/check the data name, which resets everything."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import warnings\n",
+    "\n",
+    "with warnings.catch_warnings():\n",
+    "    warnings.simplefilter('ignore')\n",
+    "\n",
+    "    from jdaviz import Imviz\n",
+    "    imviz = Imviz()\n",
+    "\n",
+    "imviz.app"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from astropy.utils.data import download_file\n",
+    "\n",
+    "filename = download_file('http://data.astropy.org/photometry/spitzer_example_image.fits', cache=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "imviz.load_data(filename)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This exposes the underlying `astrowidgets` API."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "w = imviz.app.get_viewer('imviz-image-viewer')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "w.set_colormap('viridis')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "w.cuts = (0, 100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "w.stretch = 'arcsinh'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/concepts/concept_programmatic_viewers_from_blank_default.ipynb b/notebooks/concepts/concept_programmatic_viewers_from_blank_default.ipynb
index e20da93081..80f8c82978 100644
--- a/notebooks/concepts/concept_programmatic_viewers_from_blank_default.ipynb
+++ b/notebooks/concepts/concept_programmatic_viewers_from_blank_default.ipynb
@@ -8,7 +8,7 @@
     "Start with a blank default application and programmatically add views and data to those views\n",
     "\n",
     "### Use Case\n",
-    "Progammatically load a single FITS file, e.g. for 2d spectroscopic data, into an \"image\" viewer.  Or a 1d spectrum into a spectrum viewer.  For cases that do not fit into a given pre-made configuration. \n",
+    "Programmatically load a single FITS file, e.g. for 2d spectroscopic data, into an \"image\" viewer.  Or a 1d spectrum into a spectrum viewer.  For cases that do not fit into a given pre-made configuration. \n",
     "\n",
     "### MAST Use Case\n",
     "MAST auto-generates notebooks that when users run, needs to download the data, create the relevant jdaviz application / viewers, and load the data by default. One click run gets the user back to where they were on the web."
@@ -16,22 +16,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<style>.container { width:75% !important; }</style>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from IPython.core.display import display, HTML\n",
     "display(HTML(\"<style>.container { width:75% !important; }</style>\"))"
@@ -39,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,26 +53,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {
     "scrolled": false
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b7949170270f421ba9429cab2477b53d",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Application(components={'g-viewer-tab': '<template>\\n  <component :is=\"stack.container\">\\n    <g-viewer-tab\\n …"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "app = Application('default')\n",
     "app"
@@ -100,18 +72,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/bcherinka/anaconda3/envs/havokve/lib/python3.8/site-packages/glue/core/data_factories/fits.py:152: UserWarning: Dropping column 'ASDF_METADATA' since it is not 1-dimensional\n",
-      "  warnings.warn(\"Dropping column '{0}' since it is not 1-dimensional\".format(column_name))\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "app.load_data(data)\n",
     "\n",
@@ -122,25 +85,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "DataCollection (5 data sets)\n",
-       "\t  0: jw00626-o030_s00000_nirspec_f170lp-g235m_s2d[SCI]\n",
-       "\t  1: jw00626-o030_s00000_nirspec_f170lp-g235m_s2d[WHT]\n",
-       "\t  2: jw00626-o030_s00000_nirspec_f170lp-g235m_s2d[CON]\n",
-       "\t  3: jw00626-o030_s00000_nirspec_f170lp-g235m_s2d[HDRTAB]\n",
-       "\t  4: jw00626-o030_s00000_nirspec_f170lp-g235m_s2d[ASDF]"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# what label did my data get?  dig around in docs to understand data_collection.  How do I define custom data labels?\n",
     "app.data_collection\n",
@@ -151,20 +98,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'jw00626-o030_s00000_nirspec_f170lp-g235m_s2d[SCI]'"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# get a label\n",
     "label = app.data_collection[0].label\n",
@@ -180,23 +116,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "'NoneType' object is not subscriptable",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-17-150964480149>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# naively try image-viewer\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mapp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_viewer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'image-viewer'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;31m# also try\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;31m#app.get_viewer('g-image-viewer')\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Work/git/havok2063/jdaviz/jdaviz/app.py\u001b[0m in \u001b[0;36mget_viewer\u001b[0;34m(self, viewer_reference)\u001b[0m\n\u001b[1;32m    322\u001b[0m             \u001b[0mThe\u001b[0m \u001b[0mviewer\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0minstance\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    323\u001b[0m         \"\"\"\n\u001b[0;32m--> 324\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_viewer_by_reference\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mviewer_reference\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    325\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    326\u001b[0m     def get_data_from_viewer(self, viewer_reference, data_label=None,\n",
-      "\u001b[0;32m~/Work/git/havok2063/jdaviz/jdaviz/app.py\u001b[0m in \u001b[0;36m_viewer_by_reference\u001b[0;34m(self, reference)\u001b[0m\n\u001b[1;32m    750\u001b[0m         \u001b[0mviewer_item\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_viewer_item_by_reference\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreference\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    751\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 752\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_viewer_store\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mviewer_item\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'id'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    753\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    754\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_viewer_item_by_reference\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreference\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mTypeError\u001b[0m: 'NoneType' object is not subscriptable"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# naively try to get \"image-viewer\". ; throws error\n",
     "app.get_viewer('image-viewer')\n",
@@ -211,22 +133,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "'NoneType' object is not subscriptable",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-18-0f7c03d3ef26>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# let's try to add data anyways\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mapp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_data_to_viewer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'image-viewer'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mext\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'SCI'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/Work/git/havok2063/jdaviz/jdaviz/app.py\u001b[0m in \u001b[0;36madd_data_to_viewer\u001b[0;34m(self, viewer_reference, data_path, clear_other_data, ext)\u001b[0m\n\u001b[1;32m    618\u001b[0m         \u001b[0mdata_id\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data_id_from_label\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_label\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    619\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 620\u001b[0;31m         \u001b[0mdata_ids\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mviewer_item\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'selected_data_items'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    621\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mclear_other_data\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    622\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mTypeError\u001b[0m: 'NoneType' object is not subscriptable"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# let's try to add data anyways - throws same error\n",
     "app.add_data_to_viewer('image-viewer', data, ext='SCI')"
@@ -241,20 +150,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<jdaviz.core.registries.ViewerRegistry at 0x7ffa693f4e50>"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# look in the viewer registry\n",
     "from jdaviz.core.registries import tool_registry, viewer_registry\n",
@@ -263,37 +161,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'cubeviz-image-viewer': {'label': 'Image 2D (CubeViz)',\n",
-       "  'cls': jdaviz.configs.cubeviz.plugins.viewers.CubeVizImageView},\n",
-       " 'g-profile-viewer': {'label': 'Profile 1D',\n",
-       "  'cls': glue_jupyter.bqplot.profile.viewer.BqplotProfileView},\n",
-       " 'g-image-viewer': {'label': 'Image 2D',\n",
-       "  'cls': glue_jupyter.bqplot.image.viewer.BqplotImageView},\n",
-       " 'g-table-viewer': {'label': 'Table',\n",
-       "  'cls': glue_jupyter.table.viewer.TableViewer},\n",
-       " 'specviz-profile-viewer': {'label': 'Profile 1D (Specviz)',\n",
-       "  'cls': jdaviz.configs.specviz.plugins.viewers.SpecvizProfileView},\n",
-       " 'mosviz-profile-viewer': {'label': 'Profile 1D (MOSViz)',\n",
-       "  'cls': jdaviz.configs.mosviz.plugins.viewers.MOSVizProfileView},\n",
-       " 'mosviz-image-viewer': {'label': 'Image 2D (MOSViz)',\n",
-       "  'cls': jdaviz.configs.mosviz.plugins.viewers.MOSVizImageView},\n",
-       " 'mosviz-profile-2d-viewer': {'label': 'Spectrum 2D (MOSViz)',\n",
-       "  'cls': jdaviz.configs.mosviz.plugins.viewers.MOSVizProfile2DView},\n",
-       " 'mosviz-table-viewer': {'label': 'Table (MOSViz)',\n",
-       "  'cls': jdaviz.configs.mosviz.plugins.viewers.MOSVizTableViewer}}"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# I can find all viewers in the registry. But these dict keys are not reference names.  \n",
     "viewer_registry.members"
@@ -301,23 +171,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "'NoneType' object is not subscriptable",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-21-054cb71476e8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# oh I see my Image 2d == \"g-image-viewer\".  Let me try that.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mapp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_viewer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'g-image-viewer'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/Work/git/havok2063/jdaviz/jdaviz/app.py\u001b[0m in \u001b[0;36mget_viewer\u001b[0;34m(self, viewer_reference)\u001b[0m\n\u001b[1;32m    322\u001b[0m             \u001b[0mThe\u001b[0m \u001b[0mviewer\u001b[0m \u001b[0;32mclass\u001b[0m \u001b[0minstance\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    323\u001b[0m         \"\"\"\n\u001b[0;32m--> 324\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_viewer_by_reference\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mviewer_reference\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    325\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    326\u001b[0m     def get_data_from_viewer(self, viewer_reference, data_label=None,\n",
-      "\u001b[0;32m~/Work/git/havok2063/jdaviz/jdaviz/app.py\u001b[0m in \u001b[0;36m_viewer_by_reference\u001b[0;34m(self, reference)\u001b[0m\n\u001b[1;32m    750\u001b[0m         \u001b[0mviewer_item\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_viewer_item_by_reference\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreference\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    751\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 752\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_viewer_store\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mviewer_item\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'id'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    753\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    754\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_viewer_item_by_reference\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreference\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mTypeError\u001b[0m: 'NoneType' object is not subscriptable"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# oh I see my \"Image 2D\" == \"g-image-viewer\".  That must be the reference name.  Let me try that, to get the viewer.\n",
     "app.get_viewer('g-image-viewer')"
@@ -332,20 +188,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'6501402f-bb03-4fd5-b8da-1b4241daf66b': <glue_jupyter.bqplot.image.viewer.BqplotImageView at 0x7ffa6a9fd400>}"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# look up the viewer store.  I see my viewer with a viewer id. \n",
     "app._viewer_store"
@@ -353,20 +198,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<CallbackList with 1 elements>"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# examine the application stack of items\n",
     "app.state.stack_items"
@@ -374,28 +208,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "item dict_keys(['id', 'container', 'children', 'viewers'])\n",
-      "viewer dict_keys(['id', 'name', 'widget', 'tools', 'layer_options', 'viewer_options', 'selected_data_items', 'collapse', 'reference', 'tab'])\n",
-      "id 6501402f-bb03-4fd5-b8da-1b4241daf66b\n",
-      "name Unnamed Viewer\n",
-      "widget IPY_MODEL_2000302c0e344576b421f3f18cf8ba6e\n",
-      "tools IPY_MODEL_f4c490d6cc2e4b31893e6c2b4c4f5062\n",
-      "layer_options IPY_MODEL_75dae667d8454464a286b39ff444a678\n",
-      "viewer_options IPY_MODEL_4772c7d7dddd428a9533f6877ac18183\n",
-      "selected_data_items <CallbackList with 0 elements>\n",
-      "collapse True\n",
-      "reference None\n",
-      "tab 0\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# loop over all the items in the application stack and print the data\n",
     "for i in app.state.stack_items:\n",
@@ -408,20 +223,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<CallbackDict with 10 elements>"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# now I have the viewer, I think.  The repr here should be improved to more obvious.\n",
     "viewer"
@@ -429,7 +233,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -439,22 +243,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "'NoneType' object is not subscriptable",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-26-a064275d0fa4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# try to add data by id\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mapp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_data_to_viewer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/Work/git/havok2063/jdaviz/jdaviz/app.py\u001b[0m in \u001b[0;36madd_data_to_viewer\u001b[0;34m(self, viewer_reference, data_path, clear_other_data, ext)\u001b[0m\n\u001b[1;32m    618\u001b[0m         \u001b[0mdata_id\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data_id_from_label\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_label\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    619\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 620\u001b[0;31m         \u001b[0mdata_ids\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mviewer_item\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'selected_data_items'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    621\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mclear_other_data\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    622\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mTypeError\u001b[0m: 'NoneType' object is not subscriptable"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# try to add data by id.  Still same error as above.\n",
     "app.add_data_to_viewer(id, label)"
@@ -462,20 +253,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<CallbackDict with 10 elements>"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# I notice in the stack that no reference name is indicated.  Let's add one.\n",
     "view = app._viewer_item_by_id(id)\n",
@@ -485,7 +265,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -495,22 +275,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'BqplotImageView' object has no attribute 'default_class'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-29-fbe0cf679ac6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# can I access the data back out\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mapp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_data_from_viewer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'image-viewer'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/Work/git/havok2063/jdaviz/jdaviz/app.py\u001b[0m in \u001b[0;36mget_data_from_viewer\u001b[0;34m(self, viewer_reference, data_label, cls, include_subsets)\u001b[0m\n\u001b[1;32m    364\u001b[0m         \"\"\"\n\u001b[1;32m    365\u001b[0m         \u001b[0mviewer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_viewer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mviewer_reference\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 366\u001b[0;31m         \u001b[0mcls\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mviewer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdefault_class\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcls\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'default'\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    367\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    368\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcls\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misclass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'BqplotImageView' object has no attribute 'default_class'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# can I access the data back out? \n",
     "app.get_data_from_viewer('image-viewer')"
@@ -526,24 +293,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "114e532d0e944ecc8845b0c5adeb06e9",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Application(components={'g-viewer-tab': '<template>\\n  <component :is=\"stack.container\">\\n    <g-viewer-tab\\n …"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "app = Application()\n",
     "app"
@@ -558,37 +310,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'cubeviz-image-viewer': {'label': 'Image 2D (CubeViz)',\n",
-       "  'cls': jdaviz.configs.cubeviz.plugins.viewers.CubeVizImageView},\n",
-       " 'g-profile-viewer': {'label': 'Profile 1D',\n",
-       "  'cls': glue_jupyter.bqplot.profile.viewer.BqplotProfileView},\n",
-       " 'g-image-viewer': {'label': 'Image 2D',\n",
-       "  'cls': glue_jupyter.bqplot.image.viewer.BqplotImageView},\n",
-       " 'g-table-viewer': {'label': 'Table',\n",
-       "  'cls': glue_jupyter.table.viewer.TableViewer},\n",
-       " 'specviz-profile-viewer': {'label': 'Profile 1D (Specviz)',\n",
-       "  'cls': jdaviz.configs.specviz.plugins.viewers.SpecvizProfileView},\n",
-       " 'mosviz-profile-viewer': {'label': 'Profile 1D (MOSViz)',\n",
-       "  'cls': jdaviz.configs.mosviz.plugins.viewers.MOSVizProfileView},\n",
-       " 'mosviz-image-viewer': {'label': 'Image 2D (MOSViz)',\n",
-       "  'cls': jdaviz.configs.mosviz.plugins.viewers.MOSVizImageView},\n",
-       " 'mosviz-profile-2d-viewer': {'label': 'Spectrum 2D (MOSViz)',\n",
-       "  'cls': jdaviz.configs.mosviz.plugins.viewers.MOSVizProfile2DView},\n",
-       " 'mosviz-table-viewer': {'label': 'Table (MOSViz)',\n",
-       "  'cls': jdaviz.configs.mosviz.plugins.viewers.MOSVizTableViewer}}"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# how do I know what viewers are available to add?  Use the viewer registry I dug around in the code to find.\n",
     "viewer_registry.members\n",
@@ -607,7 +331,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -623,18 +347,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/bcherinka/anaconda3/envs/havokve/lib/python3.8/site-packages/glue/core/data_factories/fits.py:152: UserWarning: Dropping column 'ASDF_METADATA' since it is not 1-dimensional\n",
-      "  warnings.warn(\"Dropping column '{0}' since it is not 1-dimensional\".format(column_name))\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# ok, I created a viewer.  Now have same problem as option 1\n",
     "app.load_data(data)"
@@ -642,20 +357,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'c3906bad-0c1f-4e80-8be2-83984a01d3ed': <glue_jupyter.bqplot.image.viewer.BqplotImageView at 0x7ffa6ac45c10>}"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# look for the viewer in the store\n",
     "app._viewer_store"
@@ -663,22 +367,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "'NoneType' object is not subscriptable",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-35-6ac80fb87974>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mapp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_data_to_viewer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'image-viewer'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mext\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'SCI'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/Work/git/havok2063/jdaviz/jdaviz/app.py\u001b[0m in \u001b[0;36madd_data_to_viewer\u001b[0;34m(self, viewer_reference, data_path, clear_other_data, ext)\u001b[0m\n\u001b[1;32m    618\u001b[0m         \u001b[0mdata_id\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data_id_from_label\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_label\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    619\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 620\u001b[0;31m         \u001b[0mdata_ids\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mviewer_item\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'selected_data_items'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    621\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mclear_other_data\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    622\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mTypeError\u001b[0m: 'NoneType' object is not subscriptable"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# attempt to add the data with naive reference name\n",
     "app.add_data_to_viewer('image-viewer', data, ext='SCI') "
@@ -686,25 +377,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "id c3906bad-0c1f-4e80-8be2-83984a01d3ed\n",
-      "name Unnamed Viewer\n",
-      "widget IPY_MODEL_288b6451c3784849a16055ef99d44e41\n",
-      "tools IPY_MODEL_b01dcb73142d4970a285fe0f48a3d39d\n",
-      "layer_options IPY_MODEL_a4ee8df437514ba784c3342839b0fa63\n",
-      "viewer_options IPY_MODEL_19604f2888394ef195438de35ea9134e\n",
-      "selected_data_items <CallbackList with 0 elements>\n",
-      "collapse True\n",
-      "reference None\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# grab the viewer information\n",
     "id = next(iter(app._viewer_store))\n",
@@ -715,7 +390,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -725,7 +400,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -743,31 +418,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'settings': {'visible': {'menu_bar': False,\n",
-       "   'toolbar': True,\n",
-       "   'tray': True,\n",
-       "   'tab_headers': True},\n",
-       "  'context': {'notebook': {'max_height': '600px'}}},\n",
-       " 'toolbar': ['g-data-tools', 'g-viewer-creator', 'g-subset-tools'],\n",
-       " 'tray': ['g-gaussian-smooth'],\n",
-       " 'viewer_area': [{'container': 'col',\n",
-       "   'children': [{'container': 'row',\n",
-       "     'viewers': [{'name': 'Image',\n",
-       "       'plot': 'g-image-viewer',\n",
-       "       'reference': 'image-viewer'}]}]}]}"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "from jdaviz.core.helpers import ConfigHelper\n",
     "from jdaviz.core.config import get_configuration\n",
@@ -792,55 +445,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "21d269258cd84446ac013628373e76e1",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Application(components={'g-viewer-tab': '<template>\\n  <component :is=\"stack.container\">\\n    <g-viewer-tab\\n …"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# set my custom config object to the default configuration.  I could also just use Application(config) so \n",
     "# what does the ConfigHelper gain me, the user?  Would be nice to have default data loading. \n",
-    "class ImViz(ConfigHelper):\n",
+    "class MyImviz(ConfigHelper):\n",
     "    _default_configuration = config\n",
     "\n",
-    "im = ImViz()\n",
+    "im = MyImviz()\n",
     "im.app"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/bcherinka/anaconda3/envs/havokve/lib/python3.8/site-packages/glue/core/data_factories/fits.py:152: UserWarning: Dropping column 'ASDF_METADATA' since it is not 1-dimensional\n",
-      "  warnings.warn(\"Dropping column '{0}' since it is not 1-dimensional\".format(column_name))\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "im.load_data(data)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -875,7 +504,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.1"
+   "version": "3.8.3"
   }
  },
  "nbformat": 4,
diff --git a/setup.cfg b/setup.cfg
index f1b841fcf2..8a102e98e0 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -34,6 +34,7 @@ install_requires =
     click
     spectral-cube>=0.5
     asteval
+    astrowidgets
     # vispy is an indirect dependency, but older vispy's don't play nice with jdaviz install
     vispy>=0.6.5
 
@@ -60,6 +61,7 @@ jdaviz_plugins =
     cubeviz = jdaviz.configs.cubeviz
     specviz = jdaviz.configs.specviz
     mosviz = jdaviz.configs.mosviz
+    imviz = jdaviz.configs.imviz
 
 [tool:pytest]
 testpaths = "jdaviz" "docs"
@@ -74,7 +76,7 @@ max-line-length = 100
 # E126: continuation line over-indented for hanging indent
 # E226: missing whitespace around arithmetic operator
 # E402: Module level import not at top of file
-# W503: line break before binary operator 
+# W503: line break before binary operator
 # W504: line break after binary operator
 ignore = E123,E126,E226,E402,W503,W504