API Response Times by Endpoint

import matplotlib.pyplot as plt
import numpy as np
from scipy import stats

np.random.seed(42)
endpoints = ['/api/users', '/api/products', '/api/orders', '/api/search', '/api/auth', '/api/reports']
latencies = [45, 120, 85, 200, 35, 350]
variations = [15, 40, 30, 80, 10, 100]

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

colors = ['#27D3F5', '#6CF527', '#F5B027', '#F54927', '#F5276C', '#4927F5']

x = np.linspace(0, 600, 200)
overlap = 2.0

for i, (endpoint, lat, var, color) in enumerate(zip(endpoints, latencies, variations, colors)):
    data = np.random.gamma(lat/var, var, 1000)
    kde = stats.gaussian_kde(data)
    y = kde(x) * 80
    y_offset = i * overlap
    
    ax.fill_between(x, y_offset, y + y_offset, alpha=0.85, color=color, edgecolor='white', linewidth=0.8)
    ax.text(-20, y_offset + 0.3, endpoint, fontsize=9, color='white', va='center', ha='right', fontweight='500', family='monospace')

ax.set_xlim(-150, 600)
ax.set_ylim(-0.5, len(endpoints) * overlap + 2)
ax.set_xlabel('Response Time (ms)', color='white', fontsize=11, fontweight='500')
ax.set_title('API Response Times by Endpoint', color='white', fontsize=14, fontweight='bold', pad=20)
ax.tick_params(colors='#888888', labelsize=9)
ax.set_yticks([])
for spine in ax.spines.values():
    spine.set_visible(False)
ax.spines['bottom'].set_visible(True)
ax.spines['bottom'].set_color('#333333')

plt.tight_layout()
plt.show()