beatlyze-analyzer
Audio feature extraction library: BPM, musical key, energy, danceability, valence, LUFS loudness, mood tags, genre suggestions, and structural sections.
Installation
Light tier (librosa-only, cross-platform):
pip install "beatlyze-analyzer[light]"
Full tier (Essentia for higher-quality extraction; Linux x86_64 / macOS arm64):
pip install "beatlyze-analyzer[full]"
Usage
from beatlyze_analyzer import analyze
result = analyze("/path/to/track.mp3")
print(result["bpm"]) # 128.4
print(result["key_notation"]) # "Am"
print(result["mood_tags"]) # ["energetic", "dark"]
Output fields
| Field | Type | Description |
|---|---|---|
bpm |
float | Tempo in beats per minute |
bpm_confidence |
float 0–1 | Extraction confidence |
key |
str | Root note (e.g. "A") |
scale |
str | "major" or "minor" |
key_notation |
str | Shorthand (e.g. "Am") |
key_confidence |
float 0–1 | |
energy |
float 0–1 | Perceived loudness / intensity |
danceability |
float 0–1 | Beat regularity + onset density |
valence |
float 0–1 | Musical positivity |
loudness_lufs |
float | Integrated loudness (LUFS R128) |
mood_tags |
list[str] | e.g. ["energetic", "uplifting"] |
genre_suggestions |
list[str] | Top 3 genre labels |
duration_seconds |
float | Track length |
time_signature |
int | Beats per bar (2, 3, 4, or 6) |
sections |
list[dict] | Structural segments with per-section features |
License
AGPLv3 — required by the Essentia dependency (AGPLv3). Source code must remain publicly available when used in a network service.
1 maintainer
Metadata
1 maintainer
Release files for beatlyze-analyzer 0.1.0
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Total release size: 43.0 kB
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