Fall 2024 workshop
active 2024-10-01 → 2025-04-04 (UTC)
Complete coverage26,679 / 26,679 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-30 (UTC)
Events
332
Pushes
17
Pull requests
0
Issues
11
Stars
9
Forks
0
Activity over time
Daily event counts in the loaded window
Line chart, 186 days from 2024-10-01 to 2025-04-04. Pushes: 17 total, peak 8 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 11 total, peak 7 in a day. Comments: 293 total, peak 131 in a day. Stars: 9 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 |
|---|---|---|---|---|
| muhua-h | 11 | 9 | 0 | 1 |
| jamesallenevans | 10 | 8 | 0 | 0 |
| BaileyMeche | 6 | 0 | 0 | 5 |
| graceshaoy | 5 | 0 | 0 | 5 |
| yangyuwang | 5 | 0 | 0 | 5 |
| ruoting-Y | 5 | 0 | 0 | 3 |
| tyeddie | 5 | 0 | 0 | 5 |
| Daniela-miaut | 5 | 0 | 0 | 5 |
| ecg1331 | 5 | 0 | 0 | 5 |
| MaoYingrong | 5 | 0 | 0 | 5 |
| anzhichen1999 | 5 | 0 | 0 | 5 |
| deyuz003 | 5 | 0 | 0 | 3 |
| CallinDai | 5 | 0 | 0 | 5 |
| gtriberti9 | 5 | 0 | 0 | 5 |
| nalinbhatt | 5 | 0 | 0 | 2 |
| Adrianne-Li | 5 | 0 | 0 | 5 |
| carrieeehuang | 4 | 0 | 0 | 4 |
| Mengyang-Cao | 4 | 0 | 0 | 4 |
| kexinz330 | 4 | 0 | 0 | 4 |
| bkehoechicago | 4 | 0 | 0 | 4 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#1ana-yurt2025-04-04 01:55Questions for James Evans on his 10/3 talk on "Simulating Subjects: The Promise and Peril of AI Stand-ins for Social Agents and Interactions.""
- Issue comment#6yiningYvette2025-04-04 01:53Questions for Marc Berman on his 10/10 talk on "Implicit racial biases are lower in more populous more diverse and less segregated US cities"
- Issue comment#1yiningYvette2025-04-04 01:52Questions for James Evans on his 10/3 talk on "Simulating Subjects: The Promise and Peril of AI Stand-ins for Social Agents and Interactions.""
- Issue comment#6ana-yurt2025-04-04 01:50Questions for Marc Berman on his 10/10 talk on "Implicit racial biases are lower in more populous more diverse and less segregated US cities"
- Issue comment#1anzhichen19992025-04-04 01:44Questions for James Evans on his 10/3 talk on "Simulating Subjects: The Promise and Peril of AI Stand-ins for Social Agents and Interactions.""
- Issue comment#6anzhichen19992025-04-04 01:43Questions for Marc Berman on his 10/10 talk on "Implicit racial biases are lower in more populous more diverse and less segregated US cities"
- Issue comment#6mdsowder2025-04-04 01:19Questions for Marc Berman on his 10/10 talk on "Implicit racial biases are lower in more populous more diverse and less segregated US cities"
- Issue comment#1mdsowder2025-04-04 01:09Questions for James Evans on his 10/3 talk on "Simulating Subjects: The Promise and Peril of AI Stand-ins for Social Agents and Interactions.""
- Issue comment#1QilongBi2025-04-04 00:15Questions for James Evans on his 10/3 talk on "Simulating Subjects: The Promise and Peril of AI Stand-ins for Social Agents and Interactions.""
- Issue comment#2QilongBi2025-04-04 00:14Propose the BEST Computational Scientists (in the World)
- Issue comment#6QilongBi2025-04-04 00:12Questions for Marc Berman on his 10/10 talk on "Implicit racial biases are lower in more populous more diverse and less segregated US cities"
- Issue comment#6JairusJia2025-04-04 00:04Questions for Marc Berman on his 10/10 talk on "Implicit racial biases are lower in more populous more diverse and less segregated US cities"
- Issue comment#2xqrue-492025-01-23 05:44Propose the BEST Computational Scientists (in the World)
- Issue comment#6xqrue-492025-01-23 05:32Questions for Marc Berman on his 10/10 talk on "Implicit racial biases are lower in more populous more diverse and less segregated US cities"
- Issue comment#1graceshaoy2025-01-08 16:53Questions for James Evans on his 10/3 talk on "Simulating Subjects: The Promise and Peril of AI Stand-ins for Social Agents and Interactions.""
- Issue comment#6Caojie20012025-01-08 05:10Questions for Marc Berman on his 10/10 talk on "Implicit racial biases are lower in more populous more diverse and less segregated US cities"
- Issue comment#166Alexa2024-12-14 02:33Questions for James Evans on his 10/3 talk on "Simulating Subjects: The Promise and Peril of AI Stand-ins for Social Agents and Interactions.""
- Issue comment#6yifan-lyf2024-11-22 03:15Questions for Marc Berman on his 10/10 talk on "Implicit racial biases are lower in more populous more diverse and less segregated US cities"
- Issue comment#1yifan-lyf2024-11-22 03:13Questions for James Evans on his 10/3 talk on "Simulating Subjects: The Promise and Peril of AI Stand-ins for Social Agents and Interactions.""
- Issue comment#1boki29242024-11-14 17:32Questions for James Evans on his 10/3 talk on "Simulating Subjects: The Promise and Peril of AI Stand-ins for Social Agents and Interactions.""
- Issue comment#6boki29242024-11-14 17:27Questions for Marc Berman on his 10/10 talk on "Implicit racial biases are lower in more populous more diverse and less segregated US cities"
- Issue comment#6naivetoad2024-10-17 18:13Questions for Marc Berman on his 10/10 talk on "Implicit racial biases are lower in more populous more diverse and less segregated US cities"
- Issue comment#1naivetoad2024-10-17 18:10Questions for James Evans on his 10/3 talk on "Simulating Subjects: The Promise and Peril of AI Stand-ins for Social Agents and Interactions.""
- Issue comment#7ecg13312024-10-17 16:13Workshop 10/17
- Issue#7BaileyMeche2024-10-17 14:51Workshop 10/17
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 9 stars here means stars gained during the window, not the repo's star count.