Open-source alternatives to Tinytag

MusicBrainz Picard is a metadata tagger and audio tag editor that identifies and tags audio files using the MusicBrainz community music database. It functions as a plugin-extensible tagging framework and a scriptable file organizer capable of reading and writing tags across various audio formats including MP3, FLAC, and WAV. The project is distinguished by its acoustic fingerprint identifier, which matches unknown music files to known recordings via sonic fingerprints. It features a custom scripting language for automating metadata transformations and organizing files into structured folder h

Audacity is a cross-platform digital audio workstation and multi-track audio editor. It serves as a comprehensive suite for capturing live audio input, refining sound files through splicing and effects, and mixing multi-track audio files using a non-destructive waveform interface. The project functions as a VST3 plugin host, providing a software environment to load and execute audio effects and virtual instruments for real-time signal processing. It also includes an audio spectrum analyzer for visualizing frequencies and waveforms to identify specific sonic characteristics. The software cove

Painless high-performance audio on iOS and Mac OS X

Custom iOS music player view

A simple C++ library for reading and writing audio files.

🅿️ PandoraPlayer is a lightweight music player for iOS, based on AudioKit and completely written in Swift.

Aubio is an audio analysis and digital signal processing library designed for music information retrieval. It provides a suite of tools for extracting musical features, estimating fundamental frequencies, and tracking rhythmic pulses in audio streams. The library specializes in the detection of pitch and beat, enabling the extraction of musical notes and the estimation of overall tempo. It also includes capabilities for automatic onset detection to identify the start of sonic events and the separation of audio signals into percussive transients and steady-state tonal components. The system c

Rhythm Trainer based on the idea of users snapping their fingers while listening to music. Won Apple's Global WWDC23 Swift Student Challenge.

AudioKit is an audio framework for iOS, macOS, and tvOS that provides tools for digital audio synthesis, signal processing, and audio analysis. It functions as a synthesis engine for generating audio waveforms and textures, a processing library for modifying tonal characteristics, and a toolkit for extracting frequency and amplitude data from sonic signals. The framework utilizes a modular node architecture and graph-based signal routing to connect audio generators, processors, and outputs. It wraps low-level audio primitives in high-level classes to facilitate sound generation and modificati

Cool Animated music indicator view written in Swift

C library for cross-platform real-time audio input and output

Tiny IMA library

PySoundFile

Replace the system volume popup with a more subtle indicator.

Beets is a command-line music library manager that automates the organization, standardization, and maintenance of digital audio collections. It functions as a relational database-backed system that identifies audio content through acoustic fingerprinting and retrieves accurate metadata from online databases to ensure consistent tagging and directory structures. The project distinguishes itself through an event-driven pipeline architecture and a modular plugin system, which allow users to intercept and customize library processing workflows. This extensibility enables the integration of exter

A framework for composing and transforming music in Swift

1. Overview DESCRIPTION INSTALLATION NEW: MIDI OUT OVER SERIAL MIDI FILE COMPATIBILITY CPU AND MEMORY (RAM) USAGE PORTABILITY CLASSES DEPENDENCIES 2. Class MidiFile MidiFile constructor parameters filename buffersize=100 MidiFile Methods Iterating through the events of a MIDI file play lengthus…

alto provides idiomatic Rust bindings for OpenAL 1.1 and extensions (including EFX).

🎵 ID3 decoding and encoding library for Go

iOS/OSX DSP for audio (with Novocaine)

This is a single-file library for resampling audio. It is written in C89 and licensed under the terms of the Zero-Clause BSD licence.

GAAD (Go Advanced Audio Decoder)

Expressive Digital Signal Processing (DSP) package for Python

Spleeter is an AI audio source separation library and deep learning toolkit designed to split mixed music files into individual audio stems, such as vocals and drums. It provides a suite of pretrained models for isolating different instruments and voices from a recording. The toolkit includes capabilities for training and evaluating custom audio separation models using labeled datasets and configuration files. It also features utilities for measuring model performance by comparing separation outputs against reference datasets. The system manages audio processing through spectral representati

This is a header-only library, as such most of its functional documentation is contained within the "header section" of the source code in the form of comments. It is highly recommended that you read said documentation before using this library.