Sunburst Chart

Monorepo Package Structure

Dark-themed sunburst chart showing monorepo structure from workspace to packages to internal modules.

Output
Monorepo Package Structure
Python
import matplotlib.pyplot as plt
import numpy as np

fig, ax = plt.subplots(figsize=(12, 10), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

# Inner ring - Package types
pkg_sizes = [30, 25, 25, 20]
pkg_labels = ['apps/', 'packages/', 'libs/', 'tools/']
pkg_colors = ['#27D3F5', '#F5276C', '#6CF527', '#5314E6']

# Outer ring - Specific packages
mod_sizes = [10, 10, 10, 10, 8, 7, 10, 8, 7, 10, 10]
mod_colors = ['#27D3F5', '#5CE8FF', '#8CF2FF',
              '#F5276C', '#FF5A94', '#FF8CB8',
              '#6CF527', '#8FFF5C', '#B2FF8C',
              '#5314E6', '#7B4DFF']

wedges_outer, _ = ax.pie(mod_sizes, radius=1, colors=mod_colors,
       wedgeprops=dict(width=0.3, edgecolor='#0a0a0f', linewidth=2))

wedges_inner, _ = ax.pie(pkg_sizes, radius=0.7, colors=pkg_colors,
       wedgeprops=dict(width=0.3, edgecolor='#0a0a0f', linewidth=2))

# Add package type labels
for i, (wedge, label) in enumerate(zip(wedges_inner, pkg_labels)):
    ang = (wedge.theta2 - wedge.theta1) / 2 + wedge.theta1
    x = 0.55 * np.cos(np.radians(ang))
    y = 0.55 * np.sin(np.radians(ang))
    ax.text(x, y, label, ha='center', va='center', fontsize=11, 
            color='white', fontweight='bold')

centre_circle = plt.Circle((0, 0), 0.4, fc='#0a0a0f', ec='#334155', linewidth=2)
ax.add_artist(centre_circle)
ax.text(0, 0, 'monorepo\n11 packages', ha='center', va='center',
        fontsize=11, color='white', fontweight='bold')

# Legend
mod_labels = ['web', 'api', 'mobile', 'ui', 'utils', 'config',
              'core', 'models', 'hooks', 'cli', 'scripts']
ax.legend(wedges_outer, mod_labels, loc='center left', bbox_to_anchor=(1.05, 0.5),
          fontsize=9, frameon=True, facecolor='#1e293b', edgecolor='#334155',
          labelcolor='white', title='Packages', title_fontsize=10)

ax.set_title('Monorepo Structure', fontsize=18, color='#f8fafc',
             fontweight='bold', pad=20)

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Part-to-Whole

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