diff --git a/plots/letsplot/pie/pie-basic/default.py b/plots/letsplot/pie/pie-basic/default.py
new file mode 100644
index 0000000000..d83e329af1
--- /dev/null
+++ b/plots/letsplot/pie/pie-basic/default.py
@@ -0,0 +1,56 @@
+"""
+pie-basic: Basic Pie Chart
+Library: lets-plot
+"""
+
+import pandas as pd
+from lets_plot import (
+    LetsPlot,
+    aes,
+    element_text,
+    geom_pie,
+    ggplot,
+    ggsave,
+    ggsize,
+    labs,
+    scale_fill_manual,
+    theme,
+    theme_void,
+)
+
+
+LetsPlot.setup_html()
+
+# PyPlots.ai color palette
+PYPLOTS_COLORS = [
+    "#306998",  # Python Blue
+    "#FFD43B",  # Python Yellow
+    "#DC2626",  # Signal Red
+    "#059669",  # Teal Green
+    "#8B5CF6",  # Violet
+    "#F97316",  # Orange
+]
+
+# Data
+data = pd.DataFrame(
+    {"category": ["Product A", "Product B", "Product C", "Product D", "Other"], "value": [35, 25, 20, 15, 5]}
+)
+
+# Create pie chart
+plot = (
+    ggplot(data)
+    + geom_pie(aes(slice="value", fill="category"), stat="identity", stroke=1.5, color="white", size=20)
+    + scale_fill_manual(values=PYPLOTS_COLORS)
+    + labs(title="Market Share Distribution", fill="Category")
+    + theme_void()
+    + theme(
+        plot_title=element_text(size=20, face="bold", hjust=0.5),
+        legend_title=element_text(size=16),
+        legend_text=element_text(size=14),
+        legend_position="right",
+    )
+    + ggsize(1600, 900)
+)
+
+# Save - scale 3x to get 4800 x 2700 px
+ggsave(plot, "plot.png", path=".", scale=3)