Hugging Face records 31,232,542 monthly visits with +0.1% month-over-month growth and Freemium, Paid pricing. Polymath records 0 monthly visits with — growth and Free pricing.
The open platform where the machine learning community hosts models, datasets, and AI apps
Turn any music library into a searchable, ML-organized sample pack.
| Dimension / Metric | ||
|---|---|---|
| Official Domain | huggingface.co | github.com |
| Pricing Model | Freemium, Paid | Free |
| Monthly Visits | 31.23M (31,232,542) | 0 (0) |
| MoM Traffic Delta | +40.25K (+0.1%) | 0 (—) |
| Primary Market & Share | 🇺🇸 United States (19.1%) | 🌐 Global (—) |
| Direct Visits / mo | 13.4M | 0 |
| User Rating | 4.8 | 4.4 |
| Supported Platforms | Website | Open Source |
The open platform where the machine learning community hosts models, datasets, and AI apps
Search, download, and publish across millions of models and hundreds of thousands of datasets, complete with model cards, versioning, and citations.
Deploy Gradio, Streamlit, or static apps directly from a repository to show off a model, run comparisons, or share a tool with a public link.
Transformers, Diffusers, Datasets, Tokenizers, Accelerate, PEFT, TRL, and smolagents give you end-to-end tooling for training, fine-tuning, and inference.
Inference Providers route a single API to tens of thousands of models from multiple vendors, while Inference Endpoints spin up dedicated GPU hardware on demand.
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.
SpecialistA unified API gateway routing requests across hundreds of language models, but lacking dataset hosting.
SpecialistA unified API gateway routing requests across hundreds of language models, but lacking dataset hosting.
Free / Open-sourceEnables running and managing open-source LLMs locally on your hardware instead of relying on cloud hosting.
Free / Open-sourceEnables running and managing open-source LLMs locally on your hardware instead of relying on cloud hosting.
Free / Open-sourceDiscover, download and generate with open-source AI models for image, video and 3D.
SpecialistOne API for 1,500+ production-ready generative media models
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Provides robust serverless inference and fine-tuning APIs for open-source models, replacing Hugging Face's hosted endpoints.
Provides robust serverless inference and fine-tuning APIs for open-source models, replacing Hugging Face's hosted endpoints.
Offers cloud APIs for running and fine-tuning machine learning models with simpler pricing than custom infrastructure.
Offers cloud APIs for running and fine-tuning machine learning models with simpler pricing than custom infrastructure.
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
Delivers ultra-fast serverless inference for open-weight models, prioritizing production throughput over community dataset sharing.
Turn audio, recordings, and YouTube into sheet music, MIDI, and tabs
Turn audio, recordings, and YouTube into sheet music, MIDI, and tabs
Provides low-cost serverless inference and GPU rentals for open models, though without community spaces and datasets.
One API for fast, cost-predictable inference on LLMs and multimodal models
One API for fast, cost-predictable inference on LLMs and multimodal models
