REPOGEO REPORT · LITE

huggingface/huggingface.js

Default branch main · commit efdf1ee2 · scanned 5/23/2026, 10:02:24 AM

GitHub: 2,420 stars · 713 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface huggingface/huggingface.js, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Add a clear introductory paragraph before the code examples

Why:

CURRENT

The README currently starts with a logo, followed by code examples, then '# Hugging Face JS libraries'.

COPY-PASTE FIX

The official JavaScript client for the Hugging Face ecosystem, enabling programmatic interaction with the Hugging Face Hub (models, datasets, spaces) and seamless access to all Inference Providers for powerful AI models like LLMs, text-to-image, and more. This library provides a unified interface for managing your machine learning assets and integrating cutting-edge AI into your JavaScript applications.

mediumtopics#2

Add more specific topics for model/dataset management and generative AI

Why:

CURRENT

api-client, hub, huggingface, inference, machine-learning

COPY-PASTE FIX

api-client, hub, huggingface, inference, machine-learning, model-management, dataset-management, llm-api, generative-ai, ai-api, javascript-sdk

mediumabout#3

Refine the repository description for clarity and breadth

Why:

CURRENT

Use Hugging Face with JavaScript

COPY-PASTE FIX

The official JavaScript client for the Hugging Face Hub and all Inference Providers, enabling programmatic model/dataset management and powerful AI model integration.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface huggingface/huggingface.js

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

OpenAI API

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

OpenAI API · recommended 1×
Hugging Face Transformers.js · recommended 1×
Google Cloud Vertex AI · recommended 1×
Gemini · recommended 1×
Imagen · recommended 1×

CATEGORY QUERY
How can I integrate powerful AI models for text and image generation into my JavaScript app?
you: not recommended
AI recommended (in order):
1. OpenAI API
2. Hugging Face Transformers.js
3. Google Cloud Vertex AI
4. Gemini
5. Imagen
6. Stability AI API
7. Stable Diffusion
8. Replicate
9. Cohere API
10. AWS Rekognition
11. Amazon Bedrock
12. AI21 Labs
13. Anthropic
AI recommended 13 alternatives but never named huggingface/huggingface.js. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Need a JavaScript library to programmatically manage and deploy machine learning models and datasets.
you: not recommended
AI recommended (in order):
1. TensorFlow.js
2. ONNX.js
3. ML.js
4. Brain.js
5. Synaptic
AI recommended 5 alternatives but never named huggingface/huggingface.js. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of huggingface/huggingface.js?
pass
AI named huggingface/huggingface.js explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts huggingface/huggingface.js in production, what risks or prerequisites should they evaluate first?
pass
AI named huggingface/huggingface.js explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo huggingface/huggingface.js solve, and who is the primary audience?
pass
AI named huggingface/huggingface.js explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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HTML

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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite