AutoEis is a Python package for the automated generation and evaluation of electrochemical impedance spectroscopy (EIS) based on equivalent circuit models (ECMs). The package uses a combination of evolutionary algorithms, heuristic filtering, and Bayesian inference to generate and suggest statistically optimal equivalent circuit models ECM.
active 2023-09-06 → 2026-03-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 931 days from 2023-09-06 to 2026-03-24. Pushes: 476 total, peak 23 in a day. Pull requests: 112 total, peak 6 in a day. Issues: 131 total, peak 11 in a day. Comments: 85 total, peak 14 in a day. Stars: 54 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 |
|---|---|---|---|---|
| ma-sadeghi | 651 | 376 | 102 | 56 |
| github-actions[bot] | 95 | 95 | 0 | 0 |
| RonM700 | 16 | 0 | 0 | 13 |
| benjamin5988 | 8 | 0 | 0 | 4 |
| eddotman | 5 | 1 | 1 | 1 |
| SaraQiuyuShi | 4 | 1 | 2 | 1 |
| Kevin-Mattheus-Moerman | 3 | 0 | 0 | 1 |
| vyrjana | 2 | 0 | 0 | 1 |
| dap-biospec | 2 | 0 | 0 | 1 |
| zhechengyin | 2 | 0 | 1 | 1 |
| Wenda-Lou | 2 | 0 | 1 | 1 |
| RunzeZhang123 | 1 | 0 | 0 | 1 |
| fg-personal | 1 | 0 | 0 | 0 |
| megrez-light | 1 | 0 | 0 | 1 |
| yonatank93 | 1 | 0 | 0 | 0 |
| KudouZala | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#169RunzeZhang1232026-03-24 21:27EIS analysis fails on good-quality data (potentially due to poor initialization)
- Issue#162ma-sadeghi2026-03-24 17:05bug: broadcast logic in perform_bayesian_inference skips length-0 inputs
- Issue#155ma-sadeghi2026-03-20 21:57p0 refinement still uses parallel execution when parallel=False
- Issue#157yonatank932026-03-19 00:23Is there a function to compute component values for a simplified ECM?
- Issue comment#154ma-sadeghi2026-01-23 05:29Custom Circuit Elements
- Pull request#151ma-sadeghi2025-08-25 09:40
- Pull request#150ma-sadeghi2025-08-24 02:25
- Issue comment#136ma-sadeghi2025-07-23 09:04Julia dependency warning during first `import autoeis`
- Issue#136ma-sadeghi2025-07-23 09:04Julia dependency warning during first `import autoeis`
- Pull request#149ma-sadeghi2025-07-23 08:53
- Pull request#149ma-sadeghi2025-07-23 08:45
- Issue#145ma-sadeghi2025-07-23 08:32Support circuit simplification using series-parallel rules
- Issue comment#144ma-sadeghi2025-07-23 08:19Jax 0.7.0 has broken NumPyro, need to pin to <0.7.0 until fixed
- Issue#144ma-sadeghi2025-07-23 08:19Jax 0.7.0 has broken NumPyro, need to pin to <0.7.0 until fixed
- Pull request#147ma-sadeghi2025-07-23 08:19
- Pull request#147ma-sadeghi2025-07-23 08:18
- Pull request#146ma-sadeghi2025-07-23 08:14
- Issue comment#143zhechengyin2025-07-18 00:01Changed the basic workflow
- Issue comment#142Wenda-Lou2025-06-20 01:28New functions for posterior evaluation
- Issue comment#142ma-sadeghi2025-06-19 22:36New functions for posterior evaluation
- Pull request#143zhechengyin2025-06-19 03:30
- Pull request#142Wenda-Lou2025-06-19 02:43
- Issue comment#141Kevin-Mattheus-Moerman2025-05-16 09:35Example notebook basic_workflow.ipynb fails with "no plausible circuits found"
- Issue#141Kevin-Mattheus-Moerman2025-05-16 09:35Example notebook basic_workflow.ipynb fails with "no plausible circuits found"
- Issue comment#141ma-sadeghi2025-05-09 22:57Example notebook basic_workflow.ipynb fails with "no plausible circuits found"
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 54 stars here means stars gained during the window, not the repo's star count.