Picard is a cross-platform music tagger powered by the MusicBrainz database

Metadata parser for audio and video media files. Supports file and stream inputs in Node.js and browser environments, extracting format, tag, and duration information.

JavaScript MusicBrainz API client for reading and submitting metadata

Picard plugins: use 1.0 branch for Picard < 2.0 (python 2/Qt4) and 2.0 branch for Picard >= 2.0 (python 3/Qt5)

A SingleCell RNASeq pre-processing snakemake workflow

A complete, beginner-friendly guide to building the ultimate self-hosted music server with Navidrome — covering Docker setup, music tagging with Picard, genre fixing, smart playlists, radio stations, remote access, and more.

Docker container to tag your music with MusicBrainz Picard, right from your browser.

Picard Sözler is a lyrics fetcher for Picard as a plugin with no configuration or API keys!

MusicBrainz Picard tagger scripts, config and beets config

Here we are going to discuss variant calling on human datasets using GATK Best practices pipeline

🚦 Run Picard on BAM files and collate 90 metrics into one file.

Use your Android phone to load releases in MusicBrainz Picard.

An interactive Python CLI tool that generates MusicBrainz Picard file naming scripts through guided menus — choose from 6 presets or build a fully custom script, no scripting knowledge required.

Browser user script to automatically enable the green tagger button on musicbrainz.org

Documentation for MusicBrainz Picard

Installation and usage for various tools for cancer genomics

Plugins for MusicBrainz Picard

Code for snapping MusicBrainz Picard

Nextflow pipeline for the preprocessing of BAM files based on GATK best practices. Marking duplicates, realignment around indels, base quality score recalibration (BQSR) and reporting of metrics are optional to maintain flexibility for different use cases.

Snakemake based workflow for calling Variants on RNA-Seq data in a joint calling mode