Examples of PyMC models, including a library of Jupyter notebooks. -- Dev Fork
active 2023-08-17 → 2026-06-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1028 days from 2023-08-17 to 2026-06-09. Pushes: 155 total, peak 18 in a day. Pull requests: 285 total, peak 23 in a day. Issues: 140 total, peak 15 in a day. Comments: 1,609 total, peak 55 in a day. Stars: 146 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 |
|---|---|---|---|---|
| review-notebook-app[bot] | 503 | 0 | 0 | 503 |
| twiecki | 244 | 54 | 39 | 80 |
| NathanielF | 202 | 0 | 9 | 182 |
| fonnesbeck | 180 | 27 | 61 | 61 |
| OriolAbril | 164 | 16 | 26 | 70 |
| AlexAndorra | 138 | 13 | 16 | 92 |
| juanitorduz | 135 | 2 | 7 | 111 |
| ricardoV94 | 116 | 3 | 4 | 90 |
| aloctavodia | 93 | 27 | 19 | 27 |
| Dekermanjian | 83 | 1 | 6 | 64 |
| drbenvincent | 71 | 7 | 8 | 43 |
| jonsedar | 57 | 0 | 4 | 50 |
| bwengals | 50 | 3 | 5 | 35 |
| jessegrabowski | 49 | 0 | 1 | 39 |
| wd60622 | 27 | 0 | 2 | 4 |
| maresb | 23 | 0 | 13 | 9 |
| erik-werner | 16 | 0 | 4 | 10 |
| zaxtax | 12 | 0 | 2 | 5 |
| cluhmann | 11 | 0 | 1 | 7 |
| ckrapu | 10 | 0 | 4 | 6 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#882review-notebook-app[bot]2026-05-24 07:12update variational_api_quickstart for PyMC 6
- Issue comment#882review-notebook-app[bot]2026-05-24 07:12update variational_api_quickstart for PyMC 6
- Issue comment#882review-notebook-app[bot]2026-05-24 07:12update variational_api_quickstart for PyMC 6
- Issue comment#874anevolbap2026-05-12 09:39Add heteroscedastic Bayesian robust regression notebook (Peña, Zamar, Yan 2009)
- Issue comment#874review-notebook-app[bot]2026-05-12 05:39Add heteroscedastic Bayesian robust regression notebook (Peña, Zamar, Yan 2009)
- Issue comment#874anevolbap2026-05-10 11:58[WIP] Add heteroscedastic Bayesian robust regression notebook (Peña, Zamar, Yan 2009)
- Pull request#875fonnesbeck2026-05-09 20:59
- Issue comment#874review-notebook-app[bot]2026-05-08 08:02[WIP] Add heteroscedastic Bayesian robust regression notebook (Peña, Zamar, Yan 2009)
- Issue comment#850drbenvincent2026-05-02 08:03Reframe counterfactuals_do_operator.ipynb as interventional what-if tutorial
- Pull request#868aloctavodia2026-05-01 07:53
- Pull request#871fonnesbeck2026-05-01 05:27
- Pull request#870aloctavodia2026-04-27 05:22
- Issue comment#869review-notebook-app[bot]2026-04-26 09:31Update GLM discrete choice
- Issue comment#868review-notebook-app[bot]2026-04-25 20:56Update GLM binomial
- Issue comment#865review-notebook-app[bot]2026-04-25 11:49Rerun survival
- Issue comment#864review-notebook-app[bot]2026-04-25 11:26Rerun cs
- Issue comment#863review-notebook-app[bot]2026-04-25 08:48Rerun BART examples
- Pull request#863aloctavodia2026-04-25 08:48
- Issue#861ZHANGSHUO222026-03-26 22:03[Proposal] New Notebook: Actuarial Survival Analysis (Left-Truncation & AFT Models)
- Issue comment#859Dekermanjian2026-03-16 21:27Updated Notebook to use new `dataclasses` implementation for setting SSM information
- Pull request#859Dekermanjian2026-03-15 21:21
- Issue comment#840twiecki2026-03-11 12:08Added Probabilistic PCA example
- Issue comment#840ParthsarthiSingh-glang2026-03-11 11:57Added Probabilistic PCA example
- Pull request#858drbenvincent2026-03-05 15:20
- Issue comment#852drbenvincent2026-03-05 13:24Add counterfactual terminology callouts to quasi-experimental notebooks
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 146 stars here means stars gained during the window, not the repo's star count.