Dendrogram

Tech Stack Similarity

Programming language clustering

Output
Tech Stack Similarity
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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