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author
large_stringlengths
2
42
day
date32
dl30
int64
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583M
dl_all
int64
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7.35B
likes
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140k
models
uint32
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70.5k
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2024-07-29
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2024-07-30
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2024-07-31
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2024-07-29
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2024-07-29
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2024-07-30
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2024-07-31
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2024-07-29
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2024-07-30
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2024-07-31
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004T
2024-07-29
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2024-07-30
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2024-07-31
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01-ai
2024-07-29
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2024-07-30
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2024-07-31
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012shin
2024-07-29
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2024-07-30
25
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2024-07-31
25
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2024-07-29
23
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2024-07-30
23
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2024-07-31
16
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05deepak
2024-07-29
73
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2024-07-30
73
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2024-07-31
73
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2024-07-29
13
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080-ai
2024-07-30
13
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080-ai
2024-07-31
14
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2024-07-29
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0914eagle
2024-07-30
139
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2024-07-31
151
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2024-07-29
40
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2024-07-30
40
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2024-07-31
42
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0RisingStar0
2024-07-29
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2024-07-30
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2024-07-31
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0Tick
2024-07-29
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2024-07-30
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2024-07-31
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2024-07-29
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2024-07-29
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2024-07-30
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2024-07-29
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127
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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. hub_series spreads each such 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.
  • 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.
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