music-industry

Wav2Bar is a tool to make custom audio visualization and export production videos for the audio and music industry. ⚠⚠⚠ Development has moved! See README.

Wav2Bar is a tool to make custom audio visualization and export production videos for the audio and music industry.

音乐 AI 提示词指南。从个人规划到财务管理，从创作、制作、演出到发行推广。Music AI Prompt Guide. From personal planning to financial management, from creation, production, and performance to distribution and promotion.

Open-source multi-tenant AI agent platform. Docker isolation, multi-channel, SIWE auth. Built on OpenClaw + Base. Our token is community-run. Agentbot builds the platform, while the market belongs to the community.

Record label management platform — 15 modules: artists, campaigns, analytics, AI blog writer, merch mockups, street marketing. React 19 + Vite

An data science project analyzing Spotify's most streamed songs of 2024. Features a complete pipeline for data cleaning, EDA, hypothesis testing, and an XGBoost model deployed in a Flask web application with a predictive simulator.

Hands-on SQL data analysis project for music store. Enhance proficiency with database queries. Ideal for practitioners seeking real-world analytics experience. Gain insights into customer behavior, revenue trends, and genre preferences, empowering strategic decision-making in the music industry. Explore the project for a rich learning experience.

Royalti.io REST API v2.6 Agent Skill — install in Claude Code, Cursor, Codex CLI, or any Agent Skills compatible tool

Aria by Patchline — guided music-release workflow for Claude Code. From idea to smart link, grounded in real catalog and streaming data via the aria MCP.

Open-source music-business contract agent built on Meta's Muse Glimmer 30B. Extracts deal terms, flags red-flag clauses, reads scanned PDFs.

The whole world of music as one navigable 3D network — 14 domains, 2,300+ entries, 23,000+ examples, from the record deal to the raga.

This is an in-depth exploratory data analysis of Spotify's stock performance from January 1, 2018, to the present. Utilizing Python and a robust set of libraries, this project examines trends, volatility, and external influences on Spotify's stocks using data from Yahoo Finance. From trend analysis and volatility exploration to predictive modeling.

Production-grade engineering reference for music royalty distribution & metadata reconciliation — ISRC/ISWC, DDEX, CWR, and Python ETL pipelines.

A fair, open-source dual-tier music license for samples, loops, stems, and beats.

Official collection of Chatmu Skills. Specialized AI agents calibrated for music industry roles.

Análise das paradas musicais Top 200 do Spotify para o mercado brasileiro // Spotify Charts Top 200 Daily Analysis for Brazil

Dashboard interactivo de ventas para tienda de vinilos. Análisis visual, KPIs clave y filtros dinámicos para decisiones comerciales.

Kit de automação jurídica para selos independentes, editoras e artistas

a website that links Producers, Djs and Artists in the music industry with the objective of improving their respective crafts to develop the industry as a whole.

A ML model that predicts whether a song is likely to be a hit, so that promotional decisions can be made easier