[JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
active 2023-08-17 → 2026-07-19 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1068 days from 2023-08-17 to 2026-07-19. Pushes: 105 total, peak 16 in a day. Pull requests: 28 total, peak 4 in a day. Issues: 18 total, peak 2 in a day. Comments: 65 total, peak 17 in a day. Stars: 121 total, peak 3 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 |
|---|---|---|---|---|
| annahedstroem | 132 | 68 | 18 | 28 |
| aaarrti | 54 | 26 | 6 | 14 |
| codecov-commenter | 7 | 0 | 0 | 7 |
| leanderweber | 7 | 6 | 0 | 0 |
| Copilot | 6 | 3 | 0 | 3 |
| davor10105 | 4 | 0 | 1 | 2 |
| abarbosa94 | 4 | 0 | 1 | 1 |
| krebso | 3 | 0 | 0 | 1 |
| JonasKlotz | 3 | 0 | 1 | 1 |
| sallana22 | 2 | 0 | 0 | 1 |
| Tprojects66554 | 2 | 0 | 0 | 2 |
| arnon-1 | 2 | 0 | 0 | 2 |
| youssefmecky96 | 1 | 0 | 0 | 0 |
| boltzmann-brain | 1 | 0 | 0 | 1 |
| zhimin-z | 1 | 0 | 0 | 0 |
| officialarijit | 1 | 0 | 0 | 0 |
| Sangyu-Han | 1 | 0 | 0 | 0 |
| craigybaeb | 1 | 0 | 0 | 1 |
| NicolasSchuler | 1 | 0 | 0 | 0 |
| sargreal | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#337Copilot2026-05-04 10:21XAI Inverse Estimation
- Pull request#372sargreal2026-02-09 11:23
- Issue comment#369Tprojects665542025-11-12 14:10Fix non sensitivity
- Issue comment#367Tprojects665542025-10-30 08:20Shape mismatch in NonSensitivity when features_in_step != 1
- Issue comment#362craigybaeb2025-10-08 15:37ValueError: 'subset_size' must be smaller than input size. [1 >= 1.0] in FaithfulnessCorrelation for TABULAR DATA
- Issue#364zhimin-z2025-10-02 03:17Anything in the wiki page?
- Releaseannahedstroem2025-07-21 15:28v0.6.0
- Issue comment#363codecov-commenter2025-07-21 10:11Added new release version
- Issue#362officialarijit2025-02-16 10:36ValueError: 'subset_size' must be smaller than input size. [1 >= 1.0] in FaithfulnessCorrelation for TABULAR DATA
- Issue comment#358annahedstroem2025-01-10 22:55Documentation on MPRT and other Randomisation Metrics not available
- Issue#358NicolasSchuler2024-12-27 10:09Documentation on MPRT and other Randomisation Metrics not available
- Issue comment#357annahedstroem2024-12-07 16:00Batched metrics - Continuation
- Issue comment#354arnon-12024-11-09 16:48Sensitivity-n seems to average over features and correlate samples rather than correlate features and average over samples
- Issue comment#354annahedstroem2024-11-09 11:46Sensitivity-n seems to average over features and correlate samples rather than correlate features and average over samples
- Issue comment#355annahedstroem2024-11-09 11:43Application on A Customized Method
- Issue#355annahedstroem2024-11-09 11:43Application on A Customized Method
- Pull request#351annahedstroem2024-11-09 11:40
- Issue comment#354arnon-12024-10-27 10:49Sensitivity-n seems to average over features and correlate samples rather than correlate features and average over samples
- Issue comment#351davor101052024-10-18 11:36Batched metrics
- Pull request#329annahedstroem2024-09-20 20:00
- Issue comment#351codecov-commenter2024-07-28 17:24Batched metrics
- Pull request#351davor101052024-07-27 13:06
- Issue comment#350aaarrti2024-07-24 19:09Adding "true" batch implementation to metrics
- Issue comment#350davor101052024-06-27 21:55Adding "true" batch implementation to metrics
- Issue#350davor101052024-06-22 13:54Adding "true" batch implementation to metrics
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 121 stars here means stars gained during the window, not the repo's star count.