Genre Profile
Drum And Bass music is characterized by high energy that drives the music forward with force and momentum, with a median energy of 89.7%. The genre carries predominantly electronic production (1.2% acousticness), built on synthesized sounds and digital textures. Instrumentalness sits at 0.6%, while danceability registers at 51.1% — providing enough groove to move to. The emotional tone is leaning toward introspection and wistfulness, with valence at 27.0%. Speechiness is minimal at 5.0%.
The typical drum and bass track moves at a fast, high-energy tempo of 174.0 BPM (±25.3). Tonally, F is the most common key (12 of 100 tracks), and 60% of tracks are in a minor key — showing a fairly even split between light and dark tonalities.
The genre's sonic identity is shaped by artists like Pendulum, DJ Fresh, Chase & Status alongside Sub Focus, Netsky. The typical track runs about 3.7 minutes, optimized for streaming attention spans.
Production-wise, drum and bass sits at a median loudness of -3.5 dB — heavily compressed and maximally loud, typical of genres competing for streaming attention. Whether you're producing in the genre or analyzing it for AI music generation, these numbers provide a precise target for capturing the authentic drum and bass sound.
Prompt Lab
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BPM 139-174: intense pace Energy 77-97%: intense, driving Valence 19-39%: intense, driving, energetic, hypnotic Danceability 46-56%: drum and bass groove Acousticness -5-14%: breakbeats textures Instrumentalness 0-20%: Focus on breakbeats Speechiness 7-17%: Clean drum and bass passages Tempo: intense to moderate Key preference: F, A, warm keys
Create a drum and bass track with: • breakbeats foundation (173 BPM) • DnB-inspired sub-bass • intense breakbeats patterns • reese bass amen break • driving production style • jungle sound design • Moderate energy (87%), intense mood (29%) • drum and bass arrangement (10%), breakbeats elements (4%) Artists to reference: Pendulum, DJ Fresh, Chase & Status, Sub Focus, Netsky, Friction Duration: 3-4 minutes, perfect for hypnotic listening
{
"genre": "drum and bass",
"audio_features": {
"bpm": {"min": 75, "max": 180, "median": 173},
"energy": {"avg": 0.877, "range": "intense"},
"valence": {"avg": 0.297, "range": "intense, driving, energetic, hypnotic"},
"danceability": {"avg": 0.518, "range": "drum and bass groove"},
"acousticness": {"avg": 0.048, "range": "breakbeats/organic"},
"instrumentalness": {"avg": 0.101, "range": "focus on breakbeats"},
"key_preference": ["F", "A", "C"],
"mode_preference": {"major": 40.0, "minor": 60.0}
},
"production_style": {
"instruments": ["breakbeats", "sub-bass", "reese bass", "amen break", "synth stabs"],
"style_tags": ["drum and bass", "DnB", "jungle", "liquid DnB", "neurofunk"],
"mood_descriptors": ["intense", "driving", "energetic", "hypnotic"],
"tempo_category": "intense_to_moderate"
},
"reference_artists": ["Pendulum", "DJ Fresh", "Chase & Status", "Sub Focus", "Netsky", "Friction", "Sigma", "Hybrid Minds"],
"track_characteristics": {
"typical_length": "3-4 minutes",
"listening_context": " hypnotic listening",
"production_focus": "breakbeats foundation"
}
}}
Audio DNA
Key finding: Six audio features define drum and bass's fingerprint: Energy leads at 89.7%, while Instrumentalness sits at just 0.6% — a genre defined as much by what it lacks as what it contains.
Rhythm & Tonality
Key finding: 60% of drum and bass tracks are in a minor key, with F the most common. Typical BPM: 174.0 (σ 25.3).
Emotional Fingerprint
Top Artists
Key finding: Pendulum dominates with 11 tracks in the top 100, followed by DJ Fresh (9) and Chase & Status (9).
What Makes a Hit
Feature Correlations
Production Profile
Top Tracks
Key finding: The most popular drum and bass track is “Afterglow” by Wilkinson with a popularity score of 69.
| # | Track | Artist | Popularity | BPM | Energy | Valence | Key |
|---|
How Drum And Bass Compares
Frequently Asked Questions
Sources & Methodology
This analysis is based on Spotify Audio Features API data for the top 100 🥁 drum and bass tracks by popularity, supplemented by Gemini AI audio analysis of 30-second preview clips.
Audio features (energy, valence, acousticness, instrumentalness, danceability, speechiness, tempo, key, mode, loudness, duration) are sourced directly from Spotify's audio analysis pipeline. Production insights, mood classifications, and instrumentation details are generated by Gemini AI.
Data was collected and analyzed by kapiko — a music analytics platform for AI-era music production.