A docker image for running HDDM with parallel processing in jupyter notebook.
active 2023-08-31 → 2026-06-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1007 days from 2023-08-31 to 2026-06-02. Pushes: 28 total, peak 3 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 21 total, peak 2 in a day. Comments: 27 total, peak 3 in a day. Stars: 13 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 |
|---|---|---|---|---|
| panwanke | 33 | 22 | 0 | 11 |
| hcp4715 | 16 | 6 | 1 | 4 |
| JunZheng-oct30 | 4 | 0 | 0 | 2 |
| XiaoyuZeng | 4 | 0 | 0 | 1 |
| krishna-raj-sr | 4 | 0 | 0 | 2 |
| shabnamhossein | 3 | 0 | 0 | 2 |
| OmarViera-Resto | 3 | 0 | 0 | 1 |
| fomightez | 2 | 0 | 0 | 0 |
| GusStgoReyes | 2 | 0 | 0 | 1 |
| St-ZFeng | 1 | 0 | 0 | 0 |
| linnanzi | 1 | 0 | 0 | 1 |
| LiQian926 | 1 | 0 | 0 | 0 |
| maomx0711 | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#26hcp47152026-02-10 14:35Which cloud computing service is recommended to deploy DockerHDDM in?
- Issue#26hcp47152026-02-10 14:35Which cloud computing service is recommended to deploy DockerHDDM in?
- Issue comment#25linnanzi2025-12-18 08:19有关docker HDDM的疑问
- Issue#25hcp47152025-11-28 02:44有关docker HDDM的疑问
- Issue comment#24panwanke2025-10-26 06:08Large Memory Usage for HDDM Regression Models
- Issue comment#23hcp47152025-07-20 18:22关于RLDDM问题，是否可以更改该模型Q更新代码
- Issue#23haixiagu2025-07-20 12:23关于RLDDM问题，是否可以更改该模型Q更新代码
- Issue comment#21krishna-raj-sr2025-03-24 13:01ValueError: unsupported dtype for netCDF4 variable: bool
- Issue#21krishna-raj-sr2025-03-24 13:01ValueError: unsupported dtype for netCDF4 variable: bool
- Issue comment#21panwanke2025-03-23 06:13ValueError: unsupported dtype for netCDF4 variable: bool
- Issue comment#21krishna-raj-sr2025-03-23 04:44ValueError: unsupported dtype for netCDF4 variable: bool
- Issue comment#21hcp47152025-03-23 03:20ValueError: unsupported dtype for netCDF4 variable: bool
- Issue#21krishna-raj-sr2025-03-22 19:10ValueError: unsupported dtype for netCDF4 variable: bool
- Issue#20fomightez2025-03-13 16:36Suggest current best practice of %pip` and `%conda` magic variation of the commands
- Issue comment#20panwanke2025-03-13 01:49Suggest current best practice of %pip` and `%conda` magic variation of the commands
- Issue#20fomightez2025-03-12 14:54Suggest current best practice of %pip` and `%conda` magic variation of the commands
- Issue comment#19panwanke2025-01-28 07:33hddm:1.0.1 Docker image has an error with numpy version
- Issue comment#19GusStgoReyes2025-01-28 03:45hddm:1.0.1 Docker image has an error with numpy version
- Issue comment#19panwanke2025-01-28 03:39hddm:1.0.1 Docker image has an error with numpy version
- Issue#19GusStgoReyes2025-01-24 21:45hddm:1.0.1 Docker image has an error with numpy version
- Issue comment#18panwanke2024-11-25 07:36InferenceData (.nc file) not generated for HDDMRegression with stimulus coding
- Issue comment#18shabnamhossein2024-11-25 03:45InferenceData (.nc file) not generated for HDDMRegression with stimulus coding
- Issue comment#18panwanke2024-11-25 03:23InferenceData (.nc file) not generated for HDDMRegression with stimulus coding
- Issue comment#18shabnamhossein2024-11-23 02:43InferenceData (.nc file) not generated for HDDMRegression with stimulus coding
- Issue comment#18panwanke2024-11-20 08:15InferenceData (.nc file) not generated for HDDMRegression with stimulus coding
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 13 stars here means stars gained during the window, not the repo's star count.