Open source Python library for building bioimage analysis pipelines
active 2024-09-27 → 2026-08-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 680 days from 2024-09-27 to 2026-08-07. Pushes: 418 total, peak 13 in a day. Pull requests: 4 total, peak 1 in a day. Issues: 32 total, peak 3 in a day. Comments: 44 total, peak 4 in a day. Stars: 28 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 |
|---|---|---|---|---|
| danifranco | 338 | 293 | 0 | 30 |
| iarganda | 103 | 94 | 0 | 6 |
| OlGiSa | 3 | 0 | 0 | 2 |
| jichen12 | 3 | 0 | 0 | 0 |
| mocherry23 | 3 | 0 | 0 | 0 |
| ibai-0 | 2 | 0 | 2 | 0 |
| cyrilbz | 2 | 0 | 0 | 0 |
| Aseem139 | 2 | 0 | 0 | 1 |
| ClementCaporal | 2 | 0 | 0 | 2 |
| jpylvanainen | 2 | 0 | 0 | 2 |
| 11o99 | 1 | 0 | 0 | 1 |
| anepaniagua | 1 | 0 | 0 | 0 |
| ElaineYao | 1 | 0 | 0 | 0 |
| bgruening | 1 | 0 | 1 | 0 |
| loreoregi | 1 | 0 | 1 | 0 |
| Mohinta2892 | 1 | 0 | 0 | 0 |
| albertding1113-spec | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#108danifranco2026-06-04 13:02Add a variable to select which layers to train/freeze
- Issue comment#164danifranco2026-05-27 11:49How to set INSTANCE_SEG / WATERSHED for instances with thin and weak connections
- Issue#162iarganda2026-03-30 05:28Elastic data augmentation stopped working
- Pull request#160ibai-02026-03-23 22:19
- Issue#158danifranco2026-03-23 13:53Checkpoint config mismatch (DATA_CHANNELS ['B','C'] vs ['F','C']) when loading weights-only for inference
- Issue comment#153danifranco2026-02-11 15:10How to run instance segmentation inference in command line？
- Issue comment#154danifranco2026-02-11 13:53instance segmentation training is blocked at Epoch1
- Issue comment#154danifranco2026-02-11 13:17instance segmentation training is blocked at Epoch1
- Issue comment#154danifranco2026-02-11 13:16instance segmentation training is blocked at Epoch1
- Issue#154albertding1113-spec2026-02-11 12:34instance segmentation training is blocked at Epoch1
- Pull request#151bgruening2026-02-05 15:17
- Issue comment#150OlGiSa2026-02-05 08:30model pretrained in BiaPy - version 3.6.8 GUI
- Issue comment#150OlGiSa2026-01-22 15:24model pretrained in BiaPy - version 3.6.8 GUI
- Issue#150OlGiSa2026-01-19 12:32model pretrained in BiaPy - version 3.6.8 GUI
- Issue comment#149danifranco2026-01-15 13:36Installation requirements for torch/torchvision incompatible with Python 3.10.19 (CLI Developer)
- Issue comment#146danifranco2025-12-07 15:59suggestions to overcome over segmentation
- Issue comment#146danifranco2025-12-02 08:27suggestions to overcome over segmentation
- Issue comment#146Aseem1392025-12-02 05:25suggestions to overcome over segmentation
- Issue#147danifranco2025-11-26 11:06Inference model doesn't have an option to load a BMZ model
- Issue#147danifranco2025-11-26 11:05Inference model doesn't have an option to load a BMZ model
- Issue#146Aseem1392025-11-25 02:53suggestions to overcome over segmentation
- Issue comment#144danifranco2025-11-18 15:37Add an option to determine the stats to be measured for each instance
- Issue#145danifranco2025-11-18 10:26Add option to avoid saving per_image raw predictions
- Issue comment#145danifranco2025-11-18 10:26Add option to avoid saving per_image raw predictions
- Issue#143danifranco2025-11-10 10:54Percentile clipping for BMZ models
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 28 stars here means stars gained during the window, not the repo's star count.