HuggingFace Model Tracker
Pricing
Pay per usage
HuggingFace Model Tracker
Track trending, popular, and new AI models on HuggingFace. Monitor downloads, likes, trending scores. Filter by task type, library, or author. No API key required.
Pricing
Pay per usage
Rating
0.0
(0)
Developer

Fulcria Labs
Actor stats
1
Bookmarked
2
Total users
1
Monthly active users
a day ago
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Track trending, popular, and newly released AI/ML models on HuggingFace. Uses the official HuggingFace API to collect comprehensive model metadata.
What it does
- Trending models: Discover which AI models are gaining traction right now
- Most downloaded: Find the most popular models by download count
- Most liked: See community favorites by like count
- Newest models: Track recently published models
- Recently updated: Monitor active model development
Features
- Filter by task type (text-generation, text-to-image, image-classification, etc.)
- Filter by ML library (transformers, diffusers, GGUF, PyTorch, etc.)
- Filter by author/organization (meta-llama, google, Qwen, stabilityai, etc.)
- Search by model name or description
- Optional detailed mode fetches license, datasets, and file info
- No API key required
Output fields
Each result includes:
| Field | Description |
|---|---|
modelId | Full model identifier (e.g. meta-llama/Llama-3-8B) |
author | Model author/organization |
downloads | Total download count |
likes | Community likes |
trendingScore | HuggingFace trending score (when sorting by trending) |
pipeline_tag | Model task type |
library | ML framework/library |
tags | Model tags |
createdAt | Publication date |
url | Direct link to model page |
rank | Position in sorted results |
With fetchDetails enabled, also includes: description, license, datasets, language, safetensors, spaces_count.
Use cases
- AI researchers: Track which models are trending in your field
- ML engineers: Monitor new model releases for your tech stack
- Content creators: Find popular models for AI content
- Business intelligence: Track AI model market trends
- Developers: Discover models for integration into apps
Example input
{"sortBy": "trendingScore","maxResults": 25,"pipelineTag": "text-generation","library": "transformers"}
Cost
This actor uses the free HuggingFace API. Typical runs consume minimal compute units. Enabling fetchDetails increases runtime as it makes one additional API call per model.