Python version of CLIMADA
active 2025-01-18 → 2026-06-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 523 days from 2025-01-18 to 2026-06-24. Pushes: 374 total, peak 22 in a day. Pull requests: 49 total, peak 3 in a day. Issues: 88 total, peak 16 in a day. Comments: 365 total, peak 20 in a day. Stars: 45 total, peak 2 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 |
|---|---|---|---|---|
| peanutfun | 243 | 67 | 5 | 96 |
| spjuhel | 213 | 127 | 8 | 42 |
| chahank | 211 | 21 | 6 | 110 |
| emanuel-schmid | 104 | 49 | 9 | 17 |
| ValentinGebhart | 74 | 22 | 6 | 27 |
| luseverin | 66 | 36 | 5 | 12 |
| NicolasColombi | 58 | 25 | 1 | 22 |
| ChrisFairless | 13 | 4 | 2 | 5 |
| Evelyn-M | 10 | 8 | 0 | 1 |
| sarah-hlsn | 9 | 6 | 0 | 3 |
| timschmi95 | 9 | 3 | 3 | 3 |
| bguillod | 4 | 0 | 0 | 2 |
| Adventurer-E | 3 | 0 | 0 | 1 |
| Donatien123-a11y | 3 | 0 | 0 | 2 |
| elianekobler | 3 | 1 | 1 | 0 |
| ddusseau | 2 | 0 | 0 | 1 |
| DahyannAraya | 2 | 1 | 0 | 1 |
| ConnectedSystems | 2 | 0 | 0 | 2 |
| simonameiler | 2 | 1 | 0 | 0 |
| francescamogavero | 2 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#1284spjuhel2026-04-21 15:00
- Issue comment#1115peanutfun2026-04-17 10:08Add forecast classes
- Pull request#1281peanutfun2026-04-10 08:15
- Issue comment#1277luseverin2026-04-10 07:28[Option Appraisal Module] [Package 1: Measures] Split 2: Adds `CostIncome` class for measure financial aspects management
- Issue#1280peanutfun2026-04-08 12:21Document fixtures
- Issue comment#1273peanutfun2026-04-08 12:19Adds `conftest.py` of common fixtures for integration tests
- Pull request#1279spjuhel2026-04-08 08:34
- Pull request#1275timschmi952026-04-05 13:14
- Issue#1270peanutfun2026-03-25 10:13Have an integration test for checking the installation that does not download any data
- Issue comment#1252ValentinGebhart2026-03-24 08:26Add inter/extrapolate features to ImpactFreqCurve
- Issue#1268simonameiler2026-03-23 20:46TCTracks.from_FAST duplicates tracks by iterating over unrelated year dimension
- Issue comment#1260spjuhel2026-03-23 15:03Unupdated type check against `csr_matrix` leads to a bug in `Hazard.write_hdf5()`
- Pull request#1266john2026-03-15 04:42
- Issue comment#1264spjuhel2026-03-11 09:15Fixes TypeError when casting arrays to scalar with Numpy>=2.4
- Issue#1260spjuhel2026-03-09 10:46Unupdated type check against `csr_matrix` leads to a bug in `Hazard.write_hdf5()`
- Issue comment#1081emanuel-schmid2026-03-02 08:19`SALib.analyze.rbd_fast` shows machine depending behavior
- Issue comment#1081ConnectedSystems2026-02-28 02:50`SALib.analyze.rbd_fast` shows machine depending behavior
- Issue comment#1257chahank2026-02-27 06:42Discussion: what to do when we have 'negative' hazard
- Issue#1257ChrisFairless2026-02-26 08:15Discussion: what to do when we have 'negative' hazard
- Issue#1257ChrisFairless2026-02-26 08:15Discussion: what to do when we have 'negative' hazard
- Pull request#1198spjuhel2026-02-25 14:13
- Issue comment#1255spjuhel2026-02-25 13:40`sparse` versions 0.18 introduces a `TypeError` in test_xarray
- Issue#1255spjuhel2026-02-25 13:37`sparse` versions 0.18 introduces a `TypeError` in test_xarray
- Issue comment#1252ValentinGebhart2026-02-24 21:56Add inter/extrapolate features to ImpactFreqCurve
- Issue comment#1081ConnectedSystems2026-02-12 23:20`SALib.analyze.rbd_fast` shows machine depending behavior
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 45 stars here means stars gained during the window, not the repo's star count.