Assessing the quality of metagenome-derived genome bins using machine learning (NAL mod)
active 2023-08-15 → 2026-05-10 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1000 days from 2023-08-15 to 2026-05-10. Pushes: 32 total, peak 13 in a day. Pull requests: 22 total, peak 8 in a day. Issues: 91 total, peak 5 in a day. Comments: 174 total, peak 11 in a day. Stars: 115 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 |
|---|---|---|---|---|
| chklovski | 125 | 32 | 18 | 53 |
| quliping | 11 | 0 | 0 | 5 |
| wwood | 10 | 0 | 1 | 8 |
| cmkobel | 6 | 0 | 0 | 4 |
| mjq2223 | 5 | 0 | 0 | 4 |
| susheelbhanu | 5 | 0 | 0 | 3 |
| jsgounot | 4 | 0 | 0 | 4 |
| sherlyn99 | 4 | 0 | 0 | 2 |
| Louis-MG | 3 | 0 | 0 | 1 |
| bkemish | 3 | 0 | 0 | 3 |
| jehaab | 3 | 0 | 0 | 1 |
| gavinmdouglas | 3 | 0 | 0 | 1 |
| RolandWirth | 3 | 0 | 0 | 3 |
| evolbeginner | 3 | 0 | 0 | 2 |
| jolespin | 3 | 0 | 0 | 0 |
| cug21yu | 3 | 0 | 0 | 3 |
| rfour92 | 3 | 0 | 0 | 2 |
| harrytchild | 3 | 0 | 0 | 3 |
| emilyhyde | 2 | 0 | 0 | 1 |
| Sumsarium | 2 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#153chklovski2026-01-21 07:05Whether there have pre-train code and re-annotating scripts for CheckM2 model on custom database?
- Issue comment#153chklovski2026-01-21 06:29Whether there have pre-train code and re-annotating scripts for CheckM2 model on custom database?
- Issue comment#114zhaorui-bi2026-01-21 05:35Runing Checkm2 using MiDAS db
- Issue comment#149ShevchenkoAlla2026-01-11 18:30DIAMOND errors cause entire CheckM2 run to fail
- Issue#151mbhall882025-12-03 04:43Logging to stdout
- Issue comment#134chklovski2025-11-21 06:22checkm2 1.1.0: database download into user path fails with errors
- Issue comment#144wwood2025-11-17 03:49Database download issues
- Issue#148dathmaru2025-11-02 05:53Double free error
- Issue#146JeanMainguy2025-09-04 20:18Question about unexpected Kegg module completeness computation in `checkm2/keggData.py`
- Issue#145xbbali2025-08-27 08:55Errno 21 IsADirectoryError cannot find database when running
- Issue comment#142jose-cantu2025-08-05 20:26The huge genome quality score differences between version 1.0.2 and 1.1.0, or checkm 1.
- Issue#143cristoyerenahs2025-07-09 23:00Predict_binary
- Issue#143cristoyerenahs2025-07-09 22:20Predict_binary
- Issue comment#141GabeAl2025-06-22 01:43Error in conda installation
- Issue comment#141GeorgiM262025-06-09 23:42Error in conda installation
- Issue comment#135samuelmontgomery2025-06-06 04:07Saved models could not be loaded
- Issue#142quliping2025-05-30 02:35The huge genome quality score differences between version 1.0.2 and 1.1.0, or checkm 1.
- Issue#141yazhinia2025-05-23 15:10Error in conda installation
- Issue comment#21kairi-t2025-04-29 21:59AttributeError: 'Predictor' object has no attribute '__set_up_prodigal_thread'
- Issue#140prototaxites2025-04-11 11:03Allow relaxing of checksum check on database to allow small test database
- Issue comment#119jsgounot2025-03-25 11:44Models not loading for test run
- Issue comment#119chklovski2025-03-25 11:09Models not loading for test run
- Issue comment#119jsgounot2025-03-25 11:00Models not loading for test run
- Issue comment#119evolbeginner2025-03-25 10:10Models not loading for test run
- Issue comment#119chklovski2025-03-25 10:07Models not loading for test run
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 115 stars here means stars gained during the window, not the repo's star count.