NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
active 2023-08-24 → 2026-05-22 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1003 days from 2023-08-24 to 2026-05-22. Pushes: 14 total, peak 3 in a day. Pull requests: 8 total, peak 2 in a day. Issues: 16 total, peak 2 in a day. Comments: 37 total, peak 4 in a day. Stars: 104 total, peak 4 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| jperez999 | 18 | 6 | 7 | 3 |
| rnyak | 8 | 0 | 0 | 7 |
| github-actions[bot] | 7 | 6 | 0 | 1 |
| piojanu | 5 | 0 | 0 | 4 |
| copy-pr-bot[bot] | 5 | 2 | 0 | 3 |
| dking21st | 4 | 0 | 0 | 2 |
| SunnyGhj | 3 | 0 | 0 | 1 |
| EvenOldridge | 2 | 0 | 0 | 1 |
| anuragreddygv323 | 2 | 0 | 0 | 2 |
| rapids-bot[bot] | 2 | 0 | 0 | 2 |
| ajschmidt8 | 2 | 0 | 1 | 1 |
| Chevolier | 2 | 0 | 0 | 2 |
| imran-marwat | 2 | 0 | 0 | 0 |
| rjzamora | 2 | 0 | 0 | 2 |
| orlev2 | 2 | 0 | 0 | 1 |
| vs385 | 2 | 0 | 0 | 1 |
| rahuljantwal-8451 | 1 | 0 | 0 | 0 |
| LoMarrujo | 1 | 0 | 0 | 0 |
| seneg0id | 1 | 0 | 0 | 0 |
| jorel666 | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Pull request#1897jperez9992026-05-22 14:11
- Issue comment#1895jorel6662026-05-10 05:38[QST] 139 SIGSEGV Error when creating NVTabular datasets from cudf dataframes
- Issue#1895imran-marwat2025-11-28 13:12[QST] 139 SIGSEGV Error when creating NVTabular datasets from cudf dataframes
- Issue#1895imran-marwat2025-11-28 13:12[QST] 139 SIGSEGV Error when creating NVTabular datasets from cudf dataframes
- Issue comment#1894copy-pr-bot[bot]2025-10-23 16:35fix for load security
- Issue#1891jordancaraballo2025-08-21 17:39[QST] PyPI Arm64 Support
- Issue comment#1885Tottowich2025-06-16 19:41Slow performance of Categorify operation on Triton Inference Server
- Issue#1889seneg0id2025-04-27 01:09[BUG] CUDA assert error
- Issue comment#1886maciekrtb2024-12-11 07:29[BUG] ops.GroupBy after ops.Filter fails to group correctly, and produces unexpected NaNs
- Issue#1885rahuljantwal-84512024-10-03 21:29Slow performance of Categorify operation on Triton Inference Server
- Issue comment#1880rnyak2024-09-24 22:33[QST] NVTabular function is not supported for this dtype: size
- Issue comment#1880anuragreddygv3232024-09-24 20:33[QST] NVTabular function is not supported for this dtype: size
- Issue comment#1880rnyak2024-09-24 19:06[QST] NVTabular function is not supported for this dtype: size
- Issue comment#1883rnyak2024-09-24 19:03[BUG] NVtabular.dataset.to_parquet(...) Improperly matched output dtypes detected in time, object and datetime64[ns]
- Issue comment#1880anuragreddygv3232024-09-23 22:11[QST] NVTabular function is not supported for this dtype: size
- Issue comment#1761Chevolier2024-08-18 13:38[QST] How can I fit a Workflow to a large dataset ?
- Issue comment#1880rnyak2024-08-15 12:43[QST] NVTabular function is not supported for this dtype: size
- Issue#1883Zachacy2024-08-15 08:00[BUG] NVtabular.dataset.to_parquet(...) Improperly matched output dtypes detected in time, object and datetime64[ns]
- Issue comment#1880Chevolier2024-08-15 05:45[QST] NVTabular function is not supported for this dtype: size
- Pull request#1882jperez9992024-08-09 21:01
- Issue comment#1882copy-pr-bot[bot]2024-08-09 21:01fix blossom ci
- Pull request#1882jperez9992024-08-09 21:01
- Issue#1880LoMarrujo2024-07-08 23:09[QST] NVTabular function is not supported for this dtype: size
- Issue comment#1876SunnyGhj2024-04-18 05:37[BUG] Distributed Training With (NVTabular + Pytorch DDP), I got this error: `RuntimeError: parallel_for: failed to synchronize: cudaErrorIllegalAddress: an illegal memory access was encountered`
- Issue#1876SunnyGhj2024-04-18 05:37[BUG] Distributed Training With (NVTabular + Pytorch DDP), I got this error: `RuntimeError: parallel_for: failed to synchronize: cudaErrorIllegalAddress: an illegal memory access was encountered`
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 104 stars here means stars gained during the window, not the repo's star count.