Distributed table structures and data manipulation operations built on top of Dagger.jl
active 2023-08-18 → 2026-07-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1076 days from 2023-08-18 to 2026-07-28. Pushes: 32 total, peak 11 in a day. Pull requests: 16 total, peak 6 in a day. Issues: 19 total, peak 4 in a day. Comments: 66 total, peak 7 in a day. Stars: 19 total, peak 1 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 |
|---|---|---|---|---|
| krynju | 50 | 15 | 8 | 19 |
| StevenWhitaker | 28 | 0 | 0 | 22 |
| jpsamaroo | 20 | 1 | 2 | 13 |
| github-actions[bot] | 18 | 16 | 2 | 0 |
| schlichtanders | 4 | 0 | 0 | 0 |
| harsharora21 | 4 | 0 | 2 | 2 |
| carstenbauer | 3 | 0 | 0 | 3 |
| JuliaTagBot | 3 | 0 | 0 | 3 |
| codecov-commenter | 3 | 0 | 0 | 3 |
| Moelf | 2 | 0 | 0 | 0 |
| dependabot[bot] | 2 | 0 | 2 | 0 |
| JuliaRegistrator | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#9JuliaTagBot2026-05-24 10:41TagBot trigger issue
- Issue comment#63krynju2026-05-24 09:36Bump codecov/codecov-action from 5.5.1 to 6.0.1
- Pull request#70dependabot[bot]2024-04-08 12:57
- Issue#69schlichtanders2024-03-07 15:38Let `mapreduce` support `GDTable`
- Issue#68schlichtanders2024-03-07 15:19select, transform, combine not working on a DTable which is part of GDTable
- Issue#67schlichtanders2024-03-07 15:00Implement `values` for GroupedDTable to return iterator over DTables
- Issue#65schlichtanders2024-03-07 14:14reduce on GroupedDTable of DTable of DataFrames returns NamedTuple
- Issue comment#60StevenWhitaker2024-02-13 16:31`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60jpsamaroo2024-02-12 20:37`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60StevenWhitaker2024-02-05 21:58`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Pull request#63dependabot[bot]2024-02-05 12:30
- Issue comment#60jpsamaroo2024-01-22 16:12`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60StevenWhitaker2024-01-18 20:20`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60jpsamaroo2024-01-14 14:20`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60StevenWhitaker2024-01-12 16:05`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60jpsamaroo2024-01-11 22:25`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60StevenWhitaker2024-01-11 19:38`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60jpsamaroo2024-01-10 05:25`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60StevenWhitaker2024-01-09 20:13`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60StevenWhitaker2023-12-27 14:42`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60StevenWhitaker2023-12-15 15:19`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60StevenWhitaker2023-12-07 22:52`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60jpsamaroo2023-12-07 22:42`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Issue comment#60jpsamaroo2023-12-05 15:45`MemPool.datastore` memory utilization keeps increasing when using DTables with multiple processes
- Pull request#62jpsamaroo2023-12-05 15:17
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 19 stars here means stars gained during the window, not the repo's star count.