# Hugging Face vs Skillry

Hugging Face records 31,232,542 monthly visits with +0.1% month-over-month growth and Freemium, Paid pricing. Skillry records 535,817 monthly visits with +1,762.1% growth and Freemium pricing.

| Metric | [Hugging Face](https://openaitools.app/tool/hugging-face) | [Skillry](https://openaitools.app/tool/skillry) |
| :--- | :--- | :--- |
| Website URL | https://huggingface.co | https://skillry.dev |
| Categories | Open Source AI Models, AI Models, AI Developer Tools, Large Language Models (LLMs) | AI Code Assistant, AI Design Assistant, AI Website Builder, AI Presentation Generator |
| Pricing Model | Freemium, Paid | Freemium |
| Monthly Visits | 31,232,542 | 535,817 |
| MoM Growth Rate | +0.1% | +1,762.1% |
| Primary Market | United States | United States |
| Direct Visits | 13,401,480 | 242,881 |
| Review Score | 4.8 | 4.5 |
| Saved Count | 11 | 0 |
| Supported Platforms | Website | Website |

## Hugging Face

Hugging Face began as a chatbot startup and grew into what is now widely described as the home of machine learning. The core of the product is the Hub: a public, searchable registry of model weights, datasets, and interactive Spaces demos. On a typical visit you will see millions of models ranging from large language and vision models published by major labs to small fine-tunes shared by individual developers, each with model cards, libraries, and one-click inference options.

Around that registry Hugging Face has built a full working stack. Its open-source libraries — Transformers, Diffusers, Datasets, Tokenizers, Accelerate, PEFT, TRL, and smolagents — power a large share of modern training and inference pipelines, and the Hub integrates directly with them. Teams can also move beyond public hosting: Inference Providers give a single API across tens of thousands of hosted models, Inference Endpoints deploy dedicated GPUs, and Enterprise plans add SSO, audit logs, private datasets, and priority support.

The platform is free to browse, upload, and collaborate on for public content, with paid tiers for individuals, teams, and enterprises that need private storage, higher limits, and compute. Because the community continuously publishes papers, blog posts, daily papers digests, and leaderboards in the same place, Hugging Face doubles as a discovery layer for what is happening in AI right now.

**Pricing & Plans:** Free for public hosting, browsing, and community use. Paid options include a PRO individual tier, Team & Enterprise plans starting around $20 per user per month, Inference Providers usage-based API pricing, and dedicated Inference Endpoints from roughly $0.60 per GPU hour. Exact rates change, so check the official pricing page.

- **Model and dataset Hub:** Search, download, and publish across millions of models and hundreds of thousands of datasets, complete with model cards, versioning, and citations.
- **Spaces demo hosting:** 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.
- **Open-source library stack:** Transformers, Diffusers, Datasets, Tokenizers, Accelerate, PEFT, TRL, and smolagents give you end-to-end tooling for training, fine-tuning, and inference.
- **Unified inference access:** 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.
- **Enterprise governance:** Team and Enterprise plans add SSO, audit logs, resource groups, private repositories, region choice, and dedicated support for regulated organizations.

**Strengths:** Unmatched catalog of open models, datasets, and ready-to-run demos; First-party libraries that most teams in the ecosystem already use; Free public hosting with a clear upgrade path to paid compute and enterprise controls; Strong community signals such as downloads, likes, leaderboards, and daily papers

**Limitations:** The catalog is so large that quality varies widely and discovery takes effort; Paid compute and enterprise tiers scale in cost quickly for heavy workloads; Some popular features depend on community-maintained repos that may fall out of date

[Profile (Markdown)](https://openaitools.app/tool/hugging-face.md)

## Skillry

Skillry is a curated library of Agent Skills — reusable packages of instructions, templates and scripts that AI coding agents can install and run. The concept is straightforward: give an agent a well-designed workflow, and it can produce a complete, presentable artifact rather than a rough draft. Skillry focuses on deliverables you would actually show, spanning web pages and landing pages, slide decks, images such as OG graphics, and short videos.

The key differentiator is that Skillry designs the output first. Its team art-directs a finished piece — a page, a deck, a film — then writes the original instructions, templates and scripts that let your agent reproduce that style. Each Skill page displays a real result it made, so you can see the visual point of view before installing. Skills are maintained by the same team as agents and models evolve.

Installation is agent-first. You can browse the catalog on the web, connect via MCP so your agent can search and inspect Skills, or install from the CLI. Free Skills require only a sign-in, while Premium Skills come with a Pro subscription or a one-time lifetime purchase. Model, API and rendering costs are handled by your own environment, not by Skillry.

**Pricing & Plans:** Free Skills are available with a sign-in. Pro is $9.99/month (regularly $19.90) or $79/year (regularly $158), and a Founding Lifetime plan costs $169 one-time. All paid plans include Premium Skills, MCP/CLI/web install and ongoing updates; model and rendering costs are extra.

- **Original in-house Skills:** Every Skill is designed, written and tested by the Skillry team, with templates and scripts built from a finished piece of work.
- **Multiple output types:** Skills cover web pages, slide decks, images, video and reports, so your agent can produce a range of assets.
- **Broad agent support:** Install and run Skills inside Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI and more.
- **Preview before install:** Each Skill page shows a real result it generated, so you can judge the visual style before adding it.
- **Flexible installation:** Add Skills from the web, through an MCP connection or from your CLI, with browser-based authorization.

**Strengths:** Original Skills designed and maintained in-house; Covers websites, slides, images and video in one library; Works across Claude Code, Codex, Cursor and many other agents; Each Skill previews a real result before you install

**Limitations:** Full access to Premium Skills requires a paid plan; Model, API and rendering costs are separate from the subscription; The catalog is newest to market, so coverage keeps evolving

[Profile (Markdown)](https://openaitools.app/tool/skillry.md)

## Frequently Asked Questions

### How do Hugging Face and Skillry compare in monthly traffic?

Hugging Face has 31,232,542 monthly visits, while Skillry has 535,817. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Hugging Face has a month-over-month growth rate of +0.1%; Skillry has +1,762.1%.

### How does pricing compare?

Hugging Face: Freemium, Paid. Free for public hosting, browsing, and community use. Paid options include a PRO individual tier, Team & Enterprise plans starting around $20 per user per month, Inference Providers usage-based API pricing, and dedicated Inference Endpoints from roughly $0.60 per GPU hour. Exact rates change, so check the official pricing page. Skillry: Freemium. Free Skills are available with a sign-in. Pro is $9.99/month (regularly $19.90) or $79/year (regularly $158), and a Founding Lifetime plan costs $169 one-time. All paid plans include Premium Skills, MCP/CLI/web install and ongoing updates; model and rendering costs are extra.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | A unified API gateway routing requests across hundreds of language models, but lacking dataset hosting. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Enables running and managing open-source LLMs locally on your hardware instead of relying on cloud hosting. | [.md](https://openaitools.app/tool/ollama.md) |
| 3 | [Civitai](https://openaitools.app/tool/civitai) | 6,963,136 | +12.8% | Freemium | Focuses strictly on community-driven discovery and sharing of generative image and video models rather than text LLMs. | [.md](https://openaitools.app/tool/civitai.md) |
| 4 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | One API for 1,500+ production-ready generative media models | [.md](https://openaitools.app/tool/fal-ai.md) |
| 5 | [ModelScope](https://openaitools.app/tool/modelscope-community) | 3,085,423 | +5.1% | Free | An alternative open-source model repository and community hub, featuring extensive regional models and online interactive demos. | [.md](https://openaitools.app/tool/modelscope-community.md) |
| 6 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Provides robust serverless inference and fine-tuning APIs for open-source models, replacing Hugging Face's hosted endpoints. | [.md](https://openaitools.app/tool/together-ai.md) |
| 7 | [MotionSites](https://openaitools.app/tool/motionsites) | 1,088,363 | -8.7% | Freemium, Paid | Supplies landing page design inspiration and prompts, focusing more on visual website layouts than code-ready agent skills. | [.md](https://openaitools.app/tool/motionsites.md) |
| 8 | [Impeccable](https://openaitools.app/tool/impeccable) | 1,038,637 | +8.2% | Free | Installs directly as a design skill pack to enforce UI rules, whereas Skillry acts as a broader discovery library. | [.md](https://openaitools.app/tool/impeccable.md) |
| 9 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Offers cloud APIs for running and fine-tuning machine learning models with simpler pricing than custom infrastructure. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 10 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Open-source, memory-efficient fine-tuning and local model running | [.md](https://openaitools.app/tool/unsloth-ai.md) |

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Source: https://openaitools.app/compare/hugging-face-vs-skillry

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