modelpulse/model-pulse-data

Model Pulse data

Daily download and like history for every actively used model and dataset on the Hugging Face Hub, and daily likes for every liked Space, from 2024-07-29 onward, updated every day. It powers Model Pulse, also at modelpulse.ifsp.dev with a page for every model, dataset and Space.

Built from the daily snapshots of cfahlgren1/hub-stats (Apache 2.0), reading each historical revision of models.parquet, datasets.parquet and spaces.parquet.

Files

Path	Rows	What it holds
series/YYYY-MM.parquet	one per model per snapshot day	id, day, dl30, dl_all, likes
models.parquet	one per tracked model	latest metadata plus derived metrics (dl_7d, growth_7d, ranks, family totals)
children.parquet	one per base→derivative edge	direct derivatives with relation and downloads
family_series/YYYY-MM.parquet	one per base model per day	downloads summed over the model and all its derivatives
author_series/YYYY-MM.parquet	one per author per day	downloads summed over the author's models
hub_series.parquet	one per day per task	Hub-wide daily downloads by pipeline_tag
leaderboards.json		weekly rankings shown on the site
datasets/series/YYYY-MM.parquet	one per dataset per snapshot day	id, day, dl30, dl_all, likes
datasets/datasets.parquet	one per tracked dataset	latest metadata (task, size, license) plus derived metrics and usage counts
datasets/author_series/, datasets/hub_series.parquet, datasets/leaderboards.json		the same views as for models
spaces/series/YYYY-MM.parquet	one per Space per snapshot day	id, day, likes, trending
spaces/spaces.parquet	one per Space with at least one like	title, emoji, SDK, likes gained in 7 and 30 days, ranks
spaces/new_by_sdk.parquet	one per day per SDK	Spaces created each day, from the latest snapshot
uses.parquet	one per reference	src_kind, src, dst_kind, dst, created, weight: a Space using a model or dataset, or a model trained on a dataset, from today's cards
repos_meta.json		days covered and skipped snapshots for datasets and Spaces

Notes

• dl30 is the Hub's rolling 30-day download count. dl_all (all-time downloads) only exists from 2025-02-27, so exact daily downloads, computed as the difference of dl_all between snapshots, start on that date.
• Some days are missing in the source (Aug 2024, Jun 2025, Apr 2026, May–Jun 2026). Totals are unaffected; daily values across a gap are averages.
• A model or dataset is tracked once it has 10+ downloads in 30 days, 50+ all-time downloads, or at least one like. A Space is tracked once it has a like; the Hub doesn't publish visits for Spaces.
• On some days the Hub's download counters stand still and catch up a day or two later, mostly on Wednesdays. Dataset counters freeze all at once; model counters often freeze only in part (newer repos stop, older ones keep counting), so the model total may only dip to half. A day is treated as a stall when the total is under 0.3 of its 15-day median, when at least 25% of the models with 60K+ monthly downloads didn't move at all, or when a dip under 0.7 is made up by the next or previous day. hub_series spreads each episode evenly over its days (sums unchanged), and the snapshots inside it are listed in skip_days (meta.json for models, repos_meta.json for datasets) so per-repo series can do the same. frozen in the same files holds the recent daily share of frozen counters.
• Twice (May 2025, June 2026) the all-time counters went down for a large share of models and came back days later. Those snapshots are in skip_days too, and downloads across them are measured from the last good snapshot to the first one after the counters recovered, so the recovery isn't counted as new downloads. A drop that doesn't recover within 8 snapshots is treated as a lasting correction by the Hub, not set aside.
• uses.parquet comes from the cards as they are today, dated by when each Space or model was created, not by when it started using what it lists.
• Download counts follow the Hub's counting rules; the Hub occasionally books delayed downloads on a single day.