Blazingly fast DataFrames for Ruby
active 2023-11-06 → 2024-05-22 (UTC)
Partial coverage18,865 / 24,260 hourly files (78%) · 2 absent upstream · 5,393 failed, retryable2023-11-05 → 2026-08-12 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
426
Pushes
225
Pull requests
6
Issues
33
Stars
86
Forks
4
Activity over time
Daily event counts in the loaded window
Line chart, 199 days from 2023-11-06 to 2024-05-22. Pushes: 225 total, peak 85 in a day. Pull requests: 6 total, peak 1 in a day. Issues: 33 total, peak 3 in a day. Comments: 62 total, peak 8 in a day. Stars: 86 total, peak 5 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ankane | 277 | 225 | 2 | 33 |
| DeflateAwning | 12 | 0 | 0 | 6 |
| scart88 | 7 | 0 | 0 | 3 |
| mezbahalam | 6 | 0 | 1 | 4 |
| catkins | 5 | 0 | 1 | 3 |
| jvdp | 5 | 0 | 1 | 3 |
| woodhull | 5 | 0 | 0 | 3 |
| denjamio | 3 | 0 | 0 | 1 |
| kkzhang | 2 | 0 | 0 | 1 |
| pstalcup | 2 | 0 | 0 | 1 |
| nicosuave | 2 | 0 | 0 | 2 |
| geclos | 1 | 0 | 0 | 1 |
| larouxn | 1 | 0 | 0 | 0 |
| patrobinson | 1 | 0 | 1 | 0 |
| topofocus | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#70DeflateAwning2024-05-13 04:30Add `read_database_uri(...)` function binding
- Issue comment#67DeflateAwning2024-05-06 04:26Feature Request: support `df.group_by(...).agg(new_col: ...)` like `df.with_columns(new_col: ...)`
- Issue comment#66ankane2024-05-06 04:21Add `df.map_elements(...)` alias for `df.apply(...)`
- Issue comment#68ankane2024-05-06 03:42`Polars.date_range(...)` can't accept `Polars.col(...)` args
- Issue#68ankane2024-05-06 03:42`Polars.date_range(...)` can't accept `Polars.col(...)` args
- Issue comment#67ankane2024-05-06 03:35Feature Request: support `df.group_by(...).agg(new_col: ...)` like `df.with_columns(new_col: ...)`
- Issue#67ankane2024-05-06 03:33Feature Request: support `df.group_by(...).agg(new_col: ...)` like `df.with_columns(new_col: ...)`
- Issue#68DeflateAwning2024-05-05 02:46`Polars.date_range(...)` can't accept `Polars.col(...)` args
- Issue comment#66DeflateAwning2024-05-05 02:35Add `df.map_elements(...)` alias for `df.apply(...)`
- Issue#67DeflateAwning2024-05-05 01:06Feature Request: support `df.group_by(...).agg(new_col: ...)` like `df.with_columns(new_col: ...)`
- Issue#66DeflateAwning2024-05-05 00:46Add `df.map_elements(...)` alias for `df.apply(...)`
- Issue comment#63ankane2024-05-03 04:14Ship polars 0.91 release
- Issue#63ankane2024-05-03 04:14Ship polars 0.91 release
- Issue comment#65topofocus2024-04-26 06:03Feature Request: Gracefully Handle Non-Existent Columns in DataFrame [] Method
- Issue#65mezbahalam2024-04-26 02:21Feature Request: Gracefully Handle Non-Existent Columns in DataFrame [] Method
- Issue comment#64ankane2024-04-19 04:17Cannot chain WhenThen together due to missing module
- Issue#64ankane2024-04-19 04:16Cannot chain WhenThen together due to missing module
- Issue comment#61ankane2024-04-06 23:42Enhanced `drop` Method to Gracefully Handle Non-Existent Columns
- Pull request#61ankane2024-04-06 23:42
- Issue comment#61mezbahalam2024-04-06 23:35Enhanced `drop` Method to Gracefully Handle Non-Existent Columns
- Issue comment#61ankane2024-04-06 21:45Enhanced `drop` Method to Gracefully Handle Non-Existent Columns
- Issue comment#61mezbahalam2024-04-06 21:29Enhanced `drop` Method to Gracefully Handle Non-Existent Columns
- Issue comment#61ankane2024-04-06 21:10Enhanced `drop` Method to Gracefully Handle Non-Existent Columns
- Issue comment#61mezbahalam2024-04-06 20:42Enhanced `drop` Method to Gracefully Handle Non-Existent Columns
- Issue comment#59jvdp2024-04-05 20:05Low memory batched csv reader issue
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 86 stars here means stars gained during the window, not the repo's star count.