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Polymath records 0 monthly visits with — month-over-month growth and Free pricing. RunningHub records 3,105,554 monthly visits with -28.5% growth and Freemium pricing.
Turn any music library into a searchable, ML-organized sample pack.
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | github.com | runninghub.ai |
| Pricing Model | Free | Freemium |
| Monthly Visits | 0 (0) | 3.11M (3,105,554) |
| MoM Traffic Delta | 0 (—) | -1.24M (-28.5%) |
| Primary Market & Share | 🌐 Global (—) | 🇨🇳 China (52.7%) |
| Direct Visits / mo | 0 | 2.3M |
| User Rating | 4.4 | 4.4 |
| Supported Platforms | Open Source | Website |
Turn any music library into a searchable, ML-organized sample pack.
Feed Polymath a single track, a folder, or a list of YouTube IDs and it builds a persistent local database of analyzed songs that can be searched instantly afterwards.
Demucs splits each song into beats, bass, vocals and other stems, which are then saved to a separated folder for use in your DAW.
Every track can be time-stretched and re-aligned to a shared tempo and beat grid (for example 120 BPM), so elements from different songs line up cleanly.
Polymath labels musical sections such as verse and chorus, detects key and loudness, and exposes that metadata for search and filtering.

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Run, import, and share ComfyUI workflows in the cloud without local GPU hardware.
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Use hosted image and video models, including self-developed upscaling and enhancement tools, from one dashboard.
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Turn audio, recordings, and YouTube into sheet music, MIDI, and tabs
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