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Pulp - Open Source Audio Sample Manager

Pulp is an open source alternative to ADSR Sample Manager. This application allows you to scan a folder, retrieve audio files, automatically detect the audio key, and organize them effectively. In addition to being an audio sample management tool, Pulp is also an audio file explorer.

Features

Scan a folder and retrieve audio files
Automatic detection of BPM, key, etc.
Easily organize and search your audio files
Modern and user-friendly interface

Technology

Pulp was developed with Tauri, Prisma and SQLite for the back-end and Solid-JS for the front-end.

Installation and Usage

CLI cargo commands must be typed in the src-tauri folder fortunately there is a npm command that allows us to type any cargo command from the root npm run cargo -- <here>

example : npm run cargo -- prisma generate for the CLI prisma-client-rust

Starter

Rename src-tauri/.env.dist to src-tauri/.env and replace <user> in DATABASE_URL for macOS (For the other OS repect <app_data_dir>/databases/Database.db and check documentation here and there and adjust <app_data_dir>).
Install cargo packages : npm run cargo -- install
Install npm packages : npm install
Push in db first migration : npm run cargo -- prisma migrate dev --name init.
Generate Prisma Rust Client : npm run cargo -- prisma generate.
Command helper for generate prisma client javascript with types : npm run prisma-js -- generate and npx prisma studio if you want see the DB.
Start dev with : npm run tauri dev Tauri Development Cycle

I created this command because unfortunately prisma-client-rust did not allow me to generate the javascript client. So this command is a helper to generate the prisma javascript client and take advantage of the types in the javascript code.

The VS Code debugging is configured in the .vscode folder, you just have to download the vscode-lldb extension as shown here

The commands will evolve in the future to be more generic

Contributing

Pulp is an open source project and we welcome contributions. If you would like to contribute, please check our GitHub repository for more information on contribution processes.

Acknowledgements

This project utilizes Essentia, an open source audio analysis and processing library. We would like to express our gratitude to the Essentia development team for their contributions to the field of audio processing. For more information about Essentia, please visit their official website.

We would like to thank all contributors for their support and help in developing Pulp. We couldn't have done it without you.

vincehi / pulp