Decima is a Python library to train sequence models on single-cell RNA-seq data.
active 2024-10-10 → 2026-06-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 603 days from 2024-10-10 to 2026-06-04. Pushes: 80 total, peak 9 in a day. Pull requests: 25 total, peak 3 in a day. Issues: 20 total, peak 2 in a day. Comments: 49 total, peak 10 in a day. Stars: 31 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 |
|---|---|---|---|---|
| MuhammedHasan | 86 | 42 | 19 | 17 |
| avantikalal | 55 | 24 | 4 | 18 |
| Copilot | 12 | 0 | 0 | 7 |
| github-actions[bot] | 10 | 10 | 0 | 0 |
| jkanche | 9 | 1 | 0 | 4 |
| Al-Murphy | 4 | 0 | 0 | 1 |
| sanjansen | 3 | 0 | 0 | 1 |
| HelloWorldLTY | 3 | 0 | 0 | 1 |
| RayLing88 | 2 | 0 | 0 | 0 |
| nzhang89 | 1 | 0 | 0 | 0 |
| C0nc | 1 | 0 | 1 | 0 |
| sanderslhc | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#56MuhammedHasan2026-05-27 23:08
- Pull request#53MuhammedHasan2026-03-20 22:34
- Pull request#49MuhammedHasan2025-12-25 05:23
- Issue#50avantikalal2025-12-17 18:39Access to ground-truth pseudobulk gene expression matrix
- Issue#50MuhammedHasan2025-12-15 06:42Access to ground-truth pseudobulk gene expression matrix
- Pull request#47MuhammedHasan2025-11-20 20:48
- Issue#44MuhammedHasan2025-11-05 22:51Personal genome
- Issue comment#45avantikalal2025-11-05 19:46single gpu enforce
- Issue comment#44MuhammedHasan2025-11-04 23:38Personal genome
- Issue comment#44MuhammedHasan2025-10-29 18:18Personal genome
- Issue comment#37MuhammedHasan2025-10-21 02:40extracting metadata for interpretation aggregated results
- Issue comment#38sanjansen2025-10-20 18:00Own hg38-fasta usage fails
- Issue comment#38MuhammedHasan2025-10-20 17:57Own hg38-fasta usage fails
- Issue#38MuhammedHasan2025-10-16 23:47Own hg38-fasta usage fails
- Issue comment#38MuhammedHasan2025-10-16 23:47Own hg38-fasta usage fails
- Issue#38sanjansen2025-10-15 08:45Own hg38-fasta usage fails
- Issue#37sanjansen2025-10-15 08:37extracting metadata for interpretation aggregated results
- Issue#5MuhammedHasan2025-10-08 00:49Speed up `make_predict_loader`
- Pull request#34MuhammedHasan2025-10-07 20:51
- Issue comment#31MuhammedHasan2025-10-02 01:21Specify GPUs for predict_on_dataset
- Issue comment#33MuhammedHasan2025-09-30 22:02Why does the model I downloaded for the variant prediction task differ in size from the one shown in your tutorial? （720MB vs 2.3 GB）
- Issue#33RayLing882025-09-21 09:23Why does the model I downloaded for the variant prediction task differ in size from the one shown in your tutorial? （720MB vs 2.3 GB）
- Issue#32RayLing882025-09-19 14:03how can I determine the cell types to which these 8856 pseudobulk samples belong?
- Pull request#23MuhammedHasan2025-09-17 22:22
- Issue#31avantikalal2025-09-12 04:37Specify GPUs for predict_on_dataset
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 31 stars here means stars gained during the window, not the repo's star count.