# OrfiTeam/OrpheusDL

Repository: https://github.com/OrfiTeam/OrpheusDL
Canonical: https://ross.abutalabs.com/products/orpheusdl
Language: Python
License Family: other
Last push: 2023-12-15T15:14:44+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1832, "days_push": 992, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1027, forks 116 (observed 2026-08-28T04:03:17.196813+00:00)

## What it is
OrpheusDL is a modular music archival program written in Python that downloads music from multiple streaming services via pluggable modules. It supports configurable download quality (from lossy to hi-res FLAC), search, and flexible file naming formats.

## Use cases
- archive albums from qobuz in flac
- download tracks from streaming services via command line
- search and download music by track name
- rip playlists with custom folder naming
- archiving lossless music library

## When to choose
- you want a modular downloader supporting multiple music services
- you need lossless/hi-res FLAC archival with configurable quality
- you prefer a Python CLI with JSON configuration

## When to avoid
- you need a GUI music downloader
- you want a maintained tool with active releases and clear licensing
- downloading from services may violate their terms of service in your jurisdiction

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: cli, audio-processing, file-system, plugin-system
- domain: media, audio
- platform: python, cli, cross-platform
- tags: music-archival, downloader, modular, lossless-audio, streaming-services, command-line, automation

## Member repositories
- OrfiTeam/OrpheusDL (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:17.196813+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:07:50.367113+00:00, confidence not recorded.
  - readme: https://github.com/OrfiTeam/OrpheusDL (fetched 2026-08-28T04:03:17.196813+00:00, sha e4c2b27dd1cc)
- Data as of 2026-08-30T08:39:29.467469+00:00.