Dendrogram
Tech Stack Similarity
Programming language clustering
Output
Python
import matplotlib.pyplot as plt
import numpy as np
from scipy.cluster.hierarchy import dendrogram, linkage, set_link_color_palette
np.random.seed(222)
languages = ['Python', 'JavaScript', 'TypeScript', 'Java', 'C#', 'Go',
'Rust', 'C++', 'Ruby', 'PHP', 'Swift', 'Kotlin']
# Simulated feature similarity data
data = np.random.randn(len(languages), 8)
data[0:3] += 1.5 # Python, JS, TS similar
data[3:5] += 2 # Java, C# similar
data[6:8] += 1 # Rust, C++ similar
Z = linkage(data, method='average')
fig, ax = plt.subplots(figsize=(12, 7), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')
set_link_color_palette(['#27D3F5', '#F5276C', '#6CF527', '#4927F5', '#F5B027'])
dn = dendrogram(Z, labels=languages, leaf_rotation=45, leaf_font_size=10,
color_threshold=4.5, above_threshold_color='#444444', ax=ax)
ax.axhline(y=4.5, color='#27D3F5', linestyle=':', linewidth=2, alpha=0.7)
ax.set_title('Programming Language Similarity', color='white', fontsize=14, fontweight='bold', pad=15)
ax.set_ylabel('Feature Distance', color='#888888', fontsize=11)
ax.tick_params(axis='both', colors='white', labelsize=9)
for spine in ax.spines.values():
spine.set_color('#333333')
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Statistical
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