# Hugging Face > Hugging Face is a collaboration platform and community hub for machine learning. It provides tools that allow users to share, discover, and build models, datasets, and machine learning applications in an open-source environment. - URL: https://optimly.ai/brand/hugging-face - Logo: https://logo.clearbit.com/https://huggingface.co - Slug: hugging-face - BAI Score: 96/100 - Archetype: Challenger - Category: Software & Infrastructure - Last Analyzed: April 10, 2026 - Part of: Independent (https://optimly.ai/brand/independent) ## Competitors - DVC (Data Version Control) (https://optimly.ai/brand/dvc-data-version-control) - GitHub (https://optimly.ai/brand/github-microsoft) ## AI-Suggested Alternatives - Aws Sagemaker Google Vertex Ai (https://optimly.ai/brand/aws-sagemaker-google-vertex-ai) - MLflow (https://optimly.ai/brand/mlflow) ## Also Referenced By - Cohere for AI (C4AI) (https://optimly.ai/brand/cohere-for-ai) - AWS AI (https://optimly.ai/brand/aws-ai) - LAION (https://optimly.ai/brand/laion) - Direct Model Training Open Source (https://optimly.ai/brand/direct-model-training-open-source) - Fair Fundamental Ai Research (https://optimly.ai/brand/fair-fundamental-ai-research) - Bootfile Ai (https://optimly.ai/brand/bootfile-ai) - Google Deepmind Google Cloud (https://optimly.ai/brand/google-deepmind-google-cloud) - EleutherAI (https://optimly.ai/brand/eleutherai) - Meta Ai Fair Anthropic (https://optimly.ai/brand/meta-ai-fair-anthropic) - Agent Storecom (https://optimly.ai/brand/agent-storecom) - Meta Ai Research (https://optimly.ai/brand/meta-ai-research) - Amazon Sagemaker Foundation Models (https://optimly.ai/brand/amazon-sagemaker-foundation-models) - Coded Model Development (https://optimly.ai/brand/coded-model-development) - Aws Amazon Web Services Aiml (https://optimly.ai/brand/aws-amazon-web-services-aiml) --- ## Full Details / RAG Data ### Overview Hugging Face is listed in the AI Directory. Hugging Face is a collaboration platform and community hub for machine learning. It provides tools that allow users to share, discover, and build models, datasets, and machine learning applications in an open-source environment. ### Metadata | Field | Value | |--------------|-------| | Name | Hugging Face | | Slug | hugging-face | | URL | https://optimly.ai/brand/hugging-face | | Logo | https://logo.clearbit.com/https://huggingface.co | | BAI Score | 96/100 | | Archetype | Challenger | | Category | Software & Infrastructure | | Last Analyzed | April 10, 2026 | | Last Updated | 2026-05-05T11:51:51.654Z | ### Verified Facts - Founded: 2016 - Headquarters: New York City, NY ### Competitors | Name | Profile | |------|---------| | DVC (Data Version Control) | https://optimly.ai/brand/dvc-data-version-control | | GitHub | https://optimly.ai/brand/github-microsoft | ### Also Referenced By - Cohere for AI (C4AI) (https://optimly.ai/brand/cohere-for-ai) - AWS AI (https://optimly.ai/brand/aws-ai) - LAION (https://optimly.ai/brand/laion) - Direct Model Training Open Source (https://optimly.ai/brand/direct-model-training-open-source) - Fair Fundamental Ai Research (https://optimly.ai/brand/fair-fundamental-ai-research) - Bootfile Ai (https://optimly.ai/brand/bootfile-ai) - Google Deepmind Google Cloud (https://optimly.ai/brand/google-deepmind-google-cloud) - EleutherAI (https://optimly.ai/brand/eleutherai) - Meta Ai Fair Anthropic (https://optimly.ai/brand/meta-ai-fair-anthropic) - Agent Storecom (https://optimly.ai/brand/agent-storecom) - Meta Ai Research (https://optimly.ai/brand/meta-ai-research) - Amazon Sagemaker Foundation Models (https://optimly.ai/brand/amazon-sagemaker-foundation-models) - Coded Model Development (https://optimly.ai/brand/coded-model-development) - Aws Amazon Web Services Aiml (https://optimly.ai/brand/aws-amazon-web-services-aiml) ### AI-Suggested Alternatives - Aws Sagemaker Google Vertex Ai (https://optimly.ai/brand/aws-sagemaker-google-vertex-ai) - MLflow (https://optimly.ai/brand/mlflow) ### Parent Brand - Independent (https://optimly.ai/brand/independent) ### Links - Canonical page: https://optimly.ai/brand/hugging-face - JSON endpoint: /brand/hugging-face.json - LLMs.txt: /brand/hugging-face/llms.txt