Radar Chart
Music Production DAW Comparison
Dark-themed radar chart comparing digital audio workstations across workflow, audio quality, MIDI capabilities, and plugin support.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
# DAW features
categories = ['Workflow Speed', 'Audio Quality', 'MIDI Editing', 'Plugin Support',
'Stock Plugins', 'Learning Curve', 'Live Performance', 'Collaboration']
ableton = [98, 92, 85, 95, 88, 80, 98, 85]
logic = [88, 95, 92, 90, 95, 85, 75, 78]
fl_studio = [90, 90, 95, 92, 85, 90, 80, 80]
protools = [80, 98, 88, 92, 78, 65, 70, 95]
N = len(categories)
angles = np.linspace(0, 2 * np.pi, N, endpoint=False).tolist()
angles += angles[:1]
ableton += ableton[:1]
logic += logic[:1]
fl_studio += fl_studio[:1]
protools += protools[:1]
fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(polar=True), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')
ax.plot(angles, ableton, 'o-', linewidth=2.5, color='#F5D327', label='Ableton Live', markersize=7)
ax.fill(angles, ableton, alpha=0.15, color='#F5D327')
ax.plot(angles, logic, 's-', linewidth=2.5, color='#27D3F5', label='Logic Pro', markersize=7)
ax.fill(angles, logic, alpha=0.15, color='#27D3F5')
ax.plot(angles, fl_studio, '^-', linewidth=2.5, color='#F54927', label='FL Studio', markersize=7)
ax.fill(angles, fl_studio, alpha=0.15, color='#F54927')
ax.plot(angles, protools, 'D-', linewidth=2.5, color='#5314E6', label='Pro Tools', markersize=7)
ax.fill(angles, protools, alpha=0.15, color='#5314E6')
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('Music Production DAW Comparison', 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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