Radar Chart

Cloud Provider Service Comparison

Dark-themed radar chart comparing major cloud providers across compute, storage, AI/ML services, pricing, and enterprise features.

Output
Cloud Provider Service Comparison
Python
import matplotlib.pyplot as plt
import numpy as np

# Cloud provider capabilities
categories = ['Compute Power', 'Storage Options', 'AI/ML Services', 'Pricing',
              'Global Regions', 'Enterprise Support', 'Security', 'Developer Tools']
              
aws = [95, 95, 90, 75, 98, 92, 95, 90]
azure = [92, 90, 92, 78, 92, 95, 92, 95]
gcp = [88, 88, 98, 82, 85, 85, 90, 92]
oracle = [85, 80, 75, 88, 78, 90, 88, 78]

N = len(categories)
angles = np.linspace(0, 2 * np.pi, N, endpoint=False).tolist()
angles += angles[:1]

aws += aws[:1]
azure += azure[:1]
gcp += gcp[:1]
oracle += oracle[:1]

fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(polar=True), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

ax.plot(angles, aws, 'o-', linewidth=2.5, color='#F5B027', label='AWS', markersize=7)
ax.fill(angles, aws, alpha=0.15, color='#F5B027')

ax.plot(angles, azure, 's-', linewidth=2.5, color='#27D3F5', label='Azure', markersize=7)
ax.fill(angles, azure, alpha=0.15, color='#27D3F5')

ax.plot(angles, gcp, '^-', linewidth=2.5, color='#6CF527', label='Google Cloud', markersize=7)
ax.fill(angles, gcp, alpha=0.15, color='#6CF527')

ax.plot(angles, oracle, 'D-', linewidth=2.5, color='#C82909', label='Oracle Cloud', markersize=7)
ax.fill(angles, oracle, alpha=0.15, color='#C82909')

ax.set_xticks(angles[:-1])
ax.set_xticklabels(categories, fontsize=10, color='#e2e8f0', fontweight='500')
ax.set_ylim(0, 100)

ax.yaxis.grid(True, color='#1e293b', linestyle='-', linewidth=0.8)
ax.xaxis.grid(True, color='#334155', linestyle='-', linewidth=0.5)
ax.spines['polar'].set_color('#334155')
ax.tick_params(axis='y', colors='#94a3b8')

ax.set_title('Cloud Provider Capabilities', fontsize=16, color='#f8fafc',
             fontweight='bold', pad=25)

ax.legend(loc='upper right', bbox_to_anchor=(1.2, 1.1), fontsize=10,
          frameon=True, facecolor='#1e293b', edgecolor='#334155', labelcolor='#e2e8f0')

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Polar Charts

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