{
    "products": [
        {
            "slug": "epoch-ai",
            "name": "Epoch AI",
            "kind": "resource",
            "website": "https://epoch.ai/",
            "page": "https://listme.name/software/epoch-ai",
            "tagline": "Research institute with public datasets and benchmarks on AI trends",
            "summary": "Epoch AI is a research institute that publishes public datasets, benchmark results and reports on the trajectory of AI. Its data catalog covers more than 3,200 machine learning models.",
            "developer": "Epoch AI",
            "platforms": [
                "web"
            ],
            "pricing": "free",
            "price_note": "Public datasets, benchmarks and reports on the site",
            "free_to_use": true,
            "open_source": false,
            "strengths": [
                "Public catalog of models tracked over time",
                "Benchmarks including FrontierMath and the Capabilities Index",
                "Reports on chips, data centers and energy"
            ],
            "limits": [
                "Reports are analysis, not a live leaderboard",
                "Focus is on trends more than model rankings"
            ],
            "checked": "2026-10-10",
            "connected_to_publisher": false,
            "overview": "Epoch AI is a research institute that studies trends in AI and publishes its findings as public datasets, charts, benchmarks and reports. Its site covers AI progress, scaling, open models, and the chips and data centers behind AI, and its benchmarking section includes the Epoch Capabilities Index and FrontierMath evaluations.\n\nThe data catalog lists more than 3,200 public machine learning models with their growth over time. Epoch describes its mission as investigating key trends and questions about how AI will develop and be governed. Its work is best for long-run trend analysis; for current model rankings, a live leaderboard such as Arena is more direct."
        },
        {
            "slug": "hugging-face",
            "name": "Hugging Face",
            "kind": "resource",
            "website": "https://huggingface.co/",
            "page": "https://listme.name/software/hugging-face",
            "tagline": "Hub for machine learning models, datasets, apps and daily papers",
            "summary": "Hugging Face hosts machine learning models, datasets and demo apps, and publishes a daily feed of AI research papers. The Hub is free to use, with paid PRO, Team and Enterprise plans.",
            "developer": "Hugging Face",
            "platforms": [
                "web"
            ],
            "pricing": "freemium",
            "price_note": "Free Hub; PRO $9 a month; Team $20 and Enterprise $50 per user a month",
            "free_to_use": true,
            "open_source": false,
            "strengths": [
                "Large public hub of models and datasets",
                "Daily Papers feed of research",
                "Free to use the public Hub"
            ],
            "limits": [
                "Quality and licenses differ for each upload",
                "Private storage and compute cost extra on paid tiers"
            ],
            "checked": "2026-10-10",
            "connected_to_publisher": false,
            "overview": "Hugging Face is a platform for sharing machine learning models, datasets and apps. Its Hub hosts model weights and datasets from researchers and companies, and its Daily Papers page lists research papers each day. The site also offers hosted inference, inference endpoints and storage for teams that deploy models.\n\nThe pricing page lists the Hub and basic compute as free to start, with PRO at $9 a month, Team at $20 per user a month and Enterprise at $50 per user a month. PRO adds private storage and other personal features. Hugging Face is a source of models, datasets and papers for ML work, and the quality of each upload depends on its owner."
        }
    ],
    "differences": [
        "Epoch AI: free. Hugging Face: free plan, paid upgrades."
    ],
    "shared_rankings": [
        {
            "list": "machine-learning-research-resources",
            "name": "Machine learning research resources",
            "page": "https://listme.name/best/machine-learning-research-resources",
            "of": 10,
            "results": [
                {
                    "product": "epoch-ai",
                    "rank": 4,
                    "score": 86.5,
                    "verdict": "Public datasets on AI models over time, with benchmarks and reports on trends. It is analysis rather than a live ranking, so pair it with Arena AI for current models.",
                    "best_for": "Long-run trends in AI capability and compute",
                    "spec": {
                        "content_type": "Datasets and reports",
                        "api": "Not listed",
                        "review_status": "Not stated"
                    }
                },
                {
                    "product": "hugging-face",
                    "rank": 2,
                    "score": 90,
                    "verdict": "A hub for models, datasets and papers, with a daily papers page and hosted inference. Quality varies by upload, and the PRO plan adds private storage and compute.",
                    "best_for": "Finding models, datasets and daily papers",
                    "spec": {
                        "content_type": "Models, datasets and papers",
                        "api": "Yes",
                        "review_status": "Not stated"
                    }
                }
            ]
        }
    ],
    "ranks_higher_in_closest_shared_list": "hugging-face",
    "page": "https://listme.name/compare/epoch-ai-vs-hugging-face",
    "json": "https://listme.name/api/v1/compare/epoch-ai-vs-hugging-face.json",
    "notes": [
        "Scores are editorial and only comparable inside one list. Products with connected_to_publisher true receive a disclosed ranking lift: https://listme.name/methodology"
    ],
    "source": "https://listme.name",
    "license": "Free to read and cite with attribution to listme.name.",
    "docs": "https://listme.name/developers"
}