diff --git a/dashboard/app.py b/dashboard/app.py
new file mode 100644
index 000000000..c69159591
--- /dev/null
+++ b/dashboard/app.py
@@ -0,0 +1,54 @@
+from dash import Dash, html, dcc, Output, Input, callback
+import plotly.express as px
+import pandas as pd
+from stingray import Lightcurve, Crossspectrum
+import numpy as np
+
+### Had to import dash and pandas separately (make a new category in setup.cfg)
+
+dt = 0.01
+time = np.arange(0, 100, dt)
+
+freq = 0.2
+amplitude = 100.0
+
+counts = amplitude * np.sin(2 * np.pi * freq * time)
+lc = Lightcurve(time, counts, dt=dt)
+
+df_lc = pd.DataFrame({"time": lc.time, "counts": lc.counts})
+
+cs = Crossspectrum(lc, lc)
+df_cs_mag = pd.DataFrame({"frequency": cs.freq, "magnitude": np.abs(cs.power)})
+df_cs_phase = pd.DataFrame({"frequency": cs.freq, "phase": np.angle(cs.power)})
+
+app = Dash(__name__)
+
+graph_styles = {"width": "50vw", "height": "50vh"}
+
+app.layout = html.Div(
+    [
+        html.H1("Stingray Data", style={"textAlign": "center"}),
+        html.Div(
+            className="wrapper",
+            children=[
+                dcc.Graph(
+                    id="graph_lc", figure=px.line(df_lc, x="time", y="counts"), style=graph_styles
+                ),
+                dcc.Graph(
+                    id="graph_cs_mag",
+                    figure=px.line(df_cs_mag, x="frequency", y="magnitude"),
+                    style=graph_styles,
+                ),
+                dcc.Graph(
+                    id="graph_cs_phase",
+                    figure=px.line(df_cs_phase, x="frequency", y="phase"),
+                    style=graph_styles,
+                ),
+            ],
+            style={"display": "flex", "flex-direction": "column", "alignItems": "center"},
+        ),
+    ]
+)
+
+if __name__ == "__main__":
+    app.run(debug=True)