signal vs librosa

Side-by-side — pricing, strengths, tradeoffs, and fit.

signal

A signal processing toolbox for Torch-7 with FFT, DCT, Hilbert, cepstrums, and stft.

librosa

Python library for audio and music analysis.

At a glance

Open SourceFree Tier
◌ Declining·From $0
Open SourceFree Tier
● Established·From $0

Overview

One-liner

A signal processing toolbox for Torch-7 with FFT, DCT, Hilbert, cepstrums, and stft.

One-liner

Python library for audio and music analysis.

Maturity

Declining

Maturity

Established

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Developers working on audio or speech processing tasks within the Torch-7 framework
Research teams needing a comprehensive set of signal processing functions in Lua

✓ Best for

Researchers working on music information retrieval projects who need robust feature extraction capabilities.
Developers building real-time audio analysis tools that require efficient signal processing.
Academics studying acoustic scenes and needing precise pitch detection.

Not ideal for

✕ Not for

Projects requiring real-time signal processing with low-latency requirements
Teams looking for a cloud-based managed service for signal processing

✕ Not for

Projects requiring real-time streaming of large audio files due to computational overhead.
Applications where the Python environment is not feasible or preferred.

Strengths

↑ Strengths

Fast Fourier Transform (FFT)
Discrete Cosine Transform (DCT)
Hilbert transform for envelope detection and phase analysis
Cepstral analysis for speech processing tasks

↑ Strengths

Efficient audio loading and resampling
Feature extraction including MFCCs, chroma features, and spectral contrast
Time-frequency analysis with STFT and CQT
Beat tracking and tempo estimation

Weaknesses

↓ Weaknesses

Limited language support due to reliance on Lua
Small community and limited third-party integrations
Performance issues with large datasets

↓ Weaknesses

Frequent breaking changes between versions
Limited support for real-time audio processing
Resource-intensive operations at scale
Full signal profile →Full librosa profile →
signal vs librosa | AI Navigator