diff --git a/tools/interactive/interactivetool_climate_notebook.xml b/tools/interactive/interactivetool_climate_notebook.xml
new file mode 100644
index 00000000000..2f7c989bdb1
--- /dev/null
+++ b/tools/interactive/interactivetool_climate_notebook.xml
@@ -0,0 +1,116 @@
+
+
+ nordicesmhub/docker-climate-notebook:1.2
+
+
+
+ 8888
+ ipython/lab
+
+
+
+ $__history_id__
+ $__galaxy_url__
+ 8080
+ $__galaxy_url__
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ The Climate Notebook is based on Jupyter an open-source web application that allows you to create and share documents that contain live code, equations,
+ visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization,
+ machine learning, and much more.
+
+ Galaxy offers you to use Jupyter Notebooks directly in Galaxy accessing and interacting with Galaxy datasets as you like. A very common use-case is to
+ do the heavy lifting and data reduction steps in Galaxy and the plotting and more `interactive` part on smaller datasets in Jupyter.
+
+ You can start with a new Jupyter notebook from scratch or load an already existing one, e.g. from your collegue and execute it on your dataset.
+ If you have a defined input dataset you can even execute a Jupyter notebook in a workflow, given that the notebook is writing the output back to the history.
+
+ You can import data into the notebook via a predefined `get()` function and write results back to Galaxy with a `put()` function.
+
+ The Climate version of the Jupyter Notebook offers a lot of preinstalled tools for climate science. The list of packages is based on what is available
+ on the [Pangeo](http://pangeo.io/) platform and [Pangeo stacks](https://pangeo-data.github.io/pangeo-stacks/).
+
+ - **Core scipy packages**: numpy, scipy, matplotlib, pandas, xarray, sparse and sympy
+ - **Data science**: scikit-image, scikit-learn, dask-ml, tensorflow, keras, pytorch-cpu, dask_labextension
+ - **Visualization**: holoviews, panel, geoviews, hvplot, geoviews, datashader, seaborn, altair, descartes, folium, vega,
+ vega_datasets, palettable, cmocean,plotly, psy-maps, psy-reg, psyplot, psyplot-gui, psy-maps, psy-reg,
+ geopy, branca
+ - **Geospatial**: iris, cartopy, basemap, basemap-data-hires, geopandas, rasterio, netcdf4, erddapy, pydap, h5py, h5netcdf, regionmask and rio-cogeo
+ - **Geoscience related**: climlab, metpy, satpy, gsw, eofs, esmpy, xesmf, windspharm, rasterstats, geojsoncontour
+ - **Climate related**: pyaerocom, cdo, cdsapi, cfgrib, cis. esmvaltool, nc-time-axis, nco
+ - **Intake related**: intake, intake-xarray, intake-esm, fsspec and intake-stac
+ - **zarr related**: zarr, numcodecs, python-blosc, lz4, gcsfs, s3fs, tiledb-py
+ - **jupyter related**: ipyleaflet, papermill, jupytext, ipydatawidgets, sidecar
+ - **xarray related**: xgcm, xrft, xhistogram, xlrd, xrviz, climpred, pytide, pyinterp
+ - **misc**: python-wget, prefect, requests, pillow, pip, nbgitpuller, pysplit, biopython, bioblend and galaxy-ie-helpers
+
+
+
diff --git a/tools/interactive/interactivetool_geoexplorer.xml b/tools/interactive/interactivetool_geoexplorer.xml
new file mode 100644
index 00000000000..3c8e1f5a536
--- /dev/null
+++ b/tools/interactive/interactivetool_geoexplorer.xml
@@ -0,0 +1,74 @@
+
+ An interactive spatial analysis platform using ggvis and Leaflet
+
+ ylebras/geoexplorer-docker
+
+
+
+ 3838
+ /sample-apps/SIG/
+
+
+
+ $__history_id__
+ $__galaxy_url__
+ 8080
+ $__galaxy_url__
+
+
+ > /var/log/shiny-server.log 2>&1
+
+ ]]>
+
+
+
+
+
+
+
+
+
+
+`_ is An interactive spatial analysis platform using ggvis and Leaflet.
+
+Author: David Stephens
+
+App: http://www.davesteps.com/geoExploreR/
+
+.. class:: infomark
+
+**Input data file MUST have as a uniq ID per row on first column, longitude column on column 2, latitude column on column 3 and quantitative values on 4th column **
+
+Example input file (csv)::
+
+"ID" "x" "y" "test"
+01 -60.291838 46.328137 2
+02 -114.58927 35.022485 3
+03 -93.37406 30.00586 4
+04 -79.336288 43.682218 5
+05 -109.156024 31.904185 2
+06 -71.098031 42.297408 9
+07 -110.927215 32.18203 12
+
+]]>
+
+
+ @misc{githubsurvey2018,
+ author = {davesteps},
+ title = {{dashboard to visualise geographic data}},
+ publisher = {Github},
+ url = {https://github.com/davesteps/geoExploreR}
+ }
+ }
+
+
diff --git a/tools/interactive/interactivetool_guacamole_desktop.xml b/tools/interactive/interactivetool_guacamole_desktop.xml
new file mode 100644
index 00000000000..665f4d33eb8
--- /dev/null
+++ b/tools/interactive/interactivetool_guacamole_desktop.xml
@@ -0,0 +1,27 @@
+
+
+ quay.io/bgruening/guacamole-desktop
+
+
+
+ 8080
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Simple Ubuntu XFCE all-in-one desktop. The Username is "user" and the Password is "password".
+ This image is based on the awesome work from CyVerse.
+
+
diff --git a/tools/interactive/interactivetool_higlass.xml b/tools/interactive/interactivetool_higlass.xml
new file mode 100644
index 00000000000..6d0510925da
--- /dev/null
+++ b/tools/interactive/interactivetool_higlass.xml
@@ -0,0 +1,39 @@
+
+ an interactive Hi-C data visualizer
+
+ quay.io/bgruening/galaxy-higlass
+
+
+
+ 80
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Interactive tool for visualising Hi-C data, works only for multi-cooler files which store multiple resolutions.
+ For a detailed documentaition please visit https://docs.higlass.io/.
+
+
+
+ 10.1186/s13059-018-1486-1
+
+
+
+
diff --git a/tools/interactive/interactivetool_openrefine.xml b/tools/interactive/interactivetool_openrefine.xml
new file mode 100644
index 00000000000..11a0b01ffc3
--- /dev/null
+++ b/tools/interactive/interactivetool_openrefine.xml
@@ -0,0 +1,77 @@
+
+ Working with messy data
+
+ ylebras/openrefine-docker
+
+
+
+ 3333
+
+
+
+ $__history_id__
+ $__galaxy_url__
+ 8080
+ $__galaxy_url__
+
+
+
+ &1)
+while [[ \${STATUS} =~ "refused" ]]
+do
+ echo "Waiting for openrefine: \$STATUS \n"
+ STATUS=\$(curl --include 'http://127.0.0.1:3333' 2>&1)
+ sleep 4
+done
+]]>
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ `_ (previously Google Refine) is a powerful tool for working with messy data:
+cleaning it; transforming it from one format into another; and extending it with web services and external data.
+
+.. class:: infomark
+
+Example input file (TAB separated)::
+
+ "name" "longitude" "latitude" "countryCode"
+ Accipiter striatus Vieillot, 1808 -60.291838 46.328137 CA
+ Accipiter striatus Vieillot, 1808 -114.58927 35.022485 US
+ Accipiter striatus Vieillot, 1808 -93.37406 30.00586 US
+ Accipiter striatus Vieillot, 1808 -79.336288 43.682218 CA
+ Accipiter striatus Vieillot, 1808 -109.156024 31.904185 US
+ Accipiter striatus Vieillot, 1808 -71.098031 42.297408 US
+ Accipiter striatus Vieillot, 1808 -110.927215 32.18203 US
+
+]]>
+
+
diff --git a/tools/interactive/interactivetool_panoply.xml b/tools/interactive/interactivetool_panoply.xml
new file mode 100644
index 00000000000..d663ce89b61
--- /dev/null
+++ b/tools/interactive/interactivetool_panoply.xml
@@ -0,0 +1,48 @@
+
+ interative plotting tool for geo-referenced data
+
+ 4.5.1
+
+
+ quay.io/nordicesmhub/docker-panoply:@VERSION@
+
+
+
+ 5800
+
+
+
+ output/version.txt &&
+ cp /config/home/output/* output/ | true &&
+ cd output &&
+ sleep 2 &&
+ for file in *; do mv "\$file" "\${file// /_}"; done &&
+ for file in *; do mv "\$file" "\$file.\${file\#\#*.}"; done
+ ]]>
+
+
+
+
+
+
+
+
+
+
+
+ `_ plots geo-referenced and other arrays from netCDF, HDF, GRIB, and other datasets.
+ ]]>
+
+
diff --git a/tools/interactive/interactivetool_paraview.xml b/tools/interactive/interactivetool_paraview.xml
new file mode 100644
index 00000000000..c801600ef0e
--- /dev/null
+++ b/tools/interactive/interactivetool_paraview.xml
@@ -0,0 +1,50 @@
+
+
+
+ bmcv/galaxy-paraviewweb:latest
+
+
+
+ 8777
+
+
+
+
+ localhost:8080
+ wss
+ -dr,--mesa-swr
+
+
+
+
+
+
+
+
+
+
+
+
+ ParaView is an open-source, multi-platform application designed to visualize data sets of varying sizes from small to very large.
+
+
diff --git a/tools/interactive/interactivetool_pyiron.xml b/tools/interactive/interactivetool_pyiron.xml
new file mode 100644
index 00000000000..69caecdf71b
--- /dev/null
+++ b/tools/interactive/interactivetool_pyiron.xml
@@ -0,0 +1,100 @@
+
+
+ quay.io/bgruening/docker-jupyter-notebook:pyiron
+
+
+
+ 8888
+ ipython/lab
+
+
+
+ $__history_id__
+ $__galaxy_url__
+ 8080
+ $__galaxy_url__
+
+ /home/jovyan/resources
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ pyiron - an integrated development environment (IDE) for computational materials science. It combines several tools in a common platform:
+
+ The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations,
+ visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization,
+ machine learning, and much more.
+
+ Galaxy offers you to use Jupyter Notebooks directly in Galaxy accessing and interacting with Galaxy datasets as you like. A very common use-case is to
+ do the heavy lifting and data reduction steps in Galaxy and the plotting and more `interactive` part on smaller datasets in Jupyter.
+
+ You can start with a new Jupyter notebook from scratch or load an already existing one, e.g. from your collegue and execute it on your dataset.
+ If you have a defined input dataset you can even execute a Jupyter notebook in a workflow, given that the notebook is writing the output back to the history.
+
+ You can import data into the notebook via a predefined `get()` function and write results back to Galaxy with a `put()` function.
+
+
diff --git a/tools/interactive/interactivetool_radiant.xml b/tools/interactive/interactivetool_radiant.xml
new file mode 100644
index 00000000000..05b623d0ffc
--- /dev/null
+++ b/tools/interactive/interactivetool_radiant.xml
@@ -0,0 +1,75 @@
+
+ Data analytics using Radiant R Shiny app
+
+ ylebras/radiant-docker
+
+
+
+ 3838
+ /sample-apps/STAT/inst/app
+
+
+
+ $__history_id__
+ $__galaxy_url__
+ 8080
+ $__galaxy_url__
+
+
+ > /var/log/shiny-server.log 2>&1
+ ]]>
+
+
+
+
+
+
+
+
+
+
+`_ is an open-source platform-independent browser-based interface for business analytics in R. The application is based on the Shiny package and can be run locally or on a server. Radiant was developed by Vincent Nijs. Please use the issue tracker on GitHub to suggest enhancements or report problems: https://github.com/radiant-rstats/radiant/issues. For other questions and comments please use radiant@rady.ucsd.edu.
+Key features
+
+- Explore: Quickly and easily summarize, visualize, and analyze your data
+- Cross-platform: It runs in a browser on Windows, Mac, and Linux
+- Reproducible: Recreate results and share work with others as a state file or an Rmarkdown report
+- Programming: Integrate Radiant’s analysis functions with your own R-code
+- Context: Data and examples focus on business applications
+
+.. class:: infomark
+
+Example input file (TAB separated)::
+
+ "name" "longitude" "latitude" "countryCode"
+ Accipiter striatus Vieillot, 1808 -60.291838 46.328137 CA
+ Accipiter striatus Vieillot, 1808 -114.58927 35.022485 US
+ Accipiter striatus Vieillot, 1808 -93.37406 30.00586 US
+ Accipiter striatus Vieillot, 1808 -79.336288 43.682218 CA
+ Accipiter striatus Vieillot, 1808 -109.156024 31.904185 US
+ Accipiter striatus Vieillot, 1808 -71.098031 42.297408 US
+ Accipiter striatus Vieillot, 1808 -110.927215 32.18203 US
+
+]]>
+
+
+ @misc{githubsurvey2018,
+ author = {vnijs},
+ title = {{Radiant - Business analytics using R and Shiny}},
+ publisher = {Github},
+ url = {https://github.com/vnijs/radiant}
+ }
+ }
+
+
diff --git a/tools/interactive/interactivetool_vcf_iobio.xml b/tools/interactive/interactivetool_vcf_iobio.xml
new file mode 100644
index 00000000000..3be0266c593
--- /dev/null
+++ b/tools/interactive/interactivetool_vcf_iobio.xml
@@ -0,0 +1,50 @@
+
+
+ qiaoy/iobio-bundle.vcf-iobio:dev-ondemand
+
+
+
+ 80
+
+
+
+ /tmp/app.conf &&
+ mv /tmp/app.conf /etc/supervisor.d/app.conf &&
+ /usr/bin/supervisord -c /etc/supervisord.conf
+
+ ]]>
+
+
+
+
+
+
+
+
+
+ `_.
+
+This visualization is using Galaxy Interactive Tool and utilizes an all-in-one Docker container from http://iobio.io.
+
+Make sure your VCF file is compressed to the vcf_bgzip datatype to load it into the Visualization.
+ ]]>
+
+
+