diff --git a/docs/docs/create-apps/streamlit-app.md b/docs/docs/create-apps/streamlit-app.md
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+---
+sidebar_position: 8
+---
+
+# Streamlit apps
+
+## Environment requirements
+
+Your conda environment (used in JHub Apps Launcher's App creation form) must have the following packages for successful app deployment:
+
+* `jhsingle-native-proxy` >= 0.8.2
+* `streamlit`
+* Other libraries used in the app
+
+:::note
+In some cases, you may need `ipywidgets`
+:::
+
+## Example application
+
+To deploy the [Streamlit App][streamlit-app] using JHub Apps, you can use the following code and environment:
+
+
+ Code (Python file)
+
+In a Python file, copy the following lines of code.
+
+```python title="streamlit_app.py"
+from collections import namedtuple
+import altair as alt
+import math
+import pandas as pd
+import streamlit as st
+
+"""
+# Welcome to Streamlit!
+
+"""
+
+total_points = st.slider("Number of points in spiral", 1, 5000, 2000)
+num_turns = st.slider("Number of turns in spiral", 1, 100, 9)
+
+Point = namedtuple("Point", "x y")
+data = []
+
+points_per_turn = total_points / num_turns
+
+for curr_point_num in range(total_points):
+ curr_turn, i = divmod(curr_point_num, points_per_turn)
+ angle = (curr_turn + 1) * 2 * math.pi * i / points_per_turn
+ radius = curr_point_num / total_points
+ x = radius * math.cos(angle)
+ y = radius * math.sin(angle)
+ data.append(Point(x, y))
+
+st.altair_chart(
+ alt.Chart(pd.DataFrame(data), height=500, width=500)
+ .mark_circle(color="#0068c9", opacity=0.5)
+ .encode(x="x:Q", y="y:Q")
+)
+```
+
+You will see an app that displays a spiral of points:
+
+
+
+
+
+ Environment specification
+
+Use the following spec to create a Conda environment wherever JHub Apps is deployed.
+If using Nebari, use this spec to create an environment with [conda-store][conda-store].
+
+```yaml
+channels:
+ - conda-forge
+dependencies:
+ - altair
+ - jhsingle-native-proxy>=0.8.2
+ - pandas
+ - streamlit
+ - ipykernel
+```
+
+
+
+## Next steps
+
+:sparkles: [Launch app →](/docs/create-apps/general-app)
+
+
+
+[streamlit-app]: https://github.com/streamlit/streamlit-example/blob/8bd2197e4ba68dd68127a264dc6708f0a96f23c8/streamlit_app.py
+[conda-store]: https://conda.store/conda-store-ui/tutorials/create-envs
diff --git a/docs/docs/create-apps/voila-app.md b/docs/docs/create-apps/voila-app.md
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+---
+sidebar_position: 7
+---
+
+# Viola apps
+
+## Environment requirements
+
+Your conda environment (used in JHub Apps Launcher's App creation form) must have the following packages for successful app deployment:
+
+* `jhsingle-native-proxy` >= 0.8.2
+* `voila` >= 0.5.6
+* Other libraries used in the app
+
+:::note
+In some cases, you may need `ipywidgets`
+:::
+
+## Example application
+
+To deploy the [Voila Basic Example][voila-basic-example] using JHub Apps, you can use the following code and environment:
+
+
+ Code (Jupyter Notebook)
+
+In a Jupyter Notebook, copy the following lines of code into a cell.
+
+```python title="voila-basic-slider.ipynb"
+import ipywidgets as widgets
+
+slider = widgets.FloatSlider(description='x')
+text = widgets.FloatText(disabled=True, description='x^2')
+
+def compute(*ignore):
+ text.value = str(slider.value ** 2)
+
+slider.observe(compute, 'value')
+
+slider.value = 4
+
+widgets.VBox([slider, text])
+```
+
+You will see a basic slider app as shown in this screenshot:
+
+
+
+
+
+ Environment specification
+
+Use the following spec to create a Conda environment wherever JHub Apps is deployed.
+If using Nebari, use this spec to create an environment with [conda-store][conda-store].
+
+```yaml
+channels:
+ - conda-forge
+dependencies:
+ - ipywidgets
+ - jhsingle-native-proxy>=0.8.2
+ - pandas
+ - python
+ - pip
+ - pip:
+ - voila==0.5.6
+ - ipykernel
+```
+:::note
+When viola (>=0.5.6) is available on Conda Forge, it can be moved outside of the pip section of the dependencies
+:::
+
+
+
+
+## Next steps
+
+:sparkles: [Launch app →](/docs/create-apps/general-app)
+
+
+
+[voila-basic-example]: https://github.com/voila-dashboards/voila/blob/7596c4f930caf4fc2d89ba63b1096046adf9fe0e/notebooks/basics.ipynb
+[conda-store]: https://conda.store/conda-store-ui/tutorials/create-envs
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