DScribe is a python package for creating machine learning descriptors for atomistic systems.
active 2023-08-17 → 2026-04-18 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 976 days from 2023-08-17 to 2026-04-18. Pushes: 34 total, peak 8 in a day. Pull requests: 9 total, peak 3 in a day. Issues: 41 total, peak 3 in a day. Comments: 58 total, peak 5 in a day. Stars: 106 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 |
|---|---|---|---|---|
| lauri-codes | 90 | 34 | 7 | 33 |
| pujaltes | 5 | 0 | 2 | 1 |
| andrewtarzia | 5 | 0 | 0 | 4 |
| Firaskigali | 5 | 0 | 0 | 3 |
| alejandroarche | 4 | 0 | 0 | 1 |
| hypefolder | 3 | 0 | 0 | 1 |
| VondrakMar | 3 | 0 | 0 | 3 |
| geoffreyweal | 3 | 0 | 0 | 2 |
| sandipgiri576 | 2 | 0 | 0 | 1 |
| mansoure37 | 2 | 0 | 0 | 0 |
| lundnguy | 2 | 0 | 0 | 1 |
| OHANAN1 | 2 | 0 | 0 | 1 |
| Andrew-S-Rosen | 2 | 0 | 0 | 0 |
| futuring-wcy | 1 | 0 | 0 | 1 |
| CalmScout | 1 | 0 | 0 | 0 |
| collinlewin | 1 | 0 | 0 | 0 |
| sandipde | 1 | 0 | 0 | 1 |
| Guancred | 1 | 0 | 0 | 1 |
| nodeterz | 1 | 0 | 0 | 0 |
| ArmanVK | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#158lauri-codes2026-04-18 17:42Acsf analytical derivatives
- Issue comment#166lauri-codes2026-02-17 09:33get_location raises ValueError: The following atomic numbers are not defined for this descriptor
- Issue#164Andrew-S-Rosen2026-01-25 19:29Incorrect docs for `CoulombMatrix`: `flatten` is not a keyword argument
- Issue#164Andrew-S-Rosen2026-01-25 19:26Incorrect docs for `CoulombMatrix`: `flatten` is not a keyword argument
- Issue#157lauri-codes2025-09-28 08:33dscribe does not build on Python 3.13
- Pull request#162lauri-codes2025-09-27 14:17
- Pull request#159lauri-codes2025-09-27 14:00
- Pull request#161lauri-codes2025-09-27 14:00
- Issue comment#157andrewtarzia2025-09-26 13:31dscribe does not build on Python 3.13
- Issue comment#157andrewtarzia2025-08-27 08:11dscribe does not build on Python 3.13
- Issue comment#157andrewtarzia2025-07-20 15:56dscribe does not build on Python 3.13
- Issue comment#157lauri-codes2025-07-20 15:46dscribe does not build on Python 3.13
- Issue comment#157andrewtarzia2025-07-18 07:19dscribe does not build on Python 3.13
- Issue comment#157andrewtarzia2025-07-18 06:55dscribe does not build on Python 3.13
- Issue#157andrewtarzia2025-07-18 06:38dscribe does not build on Python 3.13
- Issue#154lauri-codes2025-06-05 05:25SOAP cutoff question: do Gaussian tails leak past r_cut?
- Issue#156lauri-codes2025-06-05 05:25module 'ase.geometry' has no attribute 'cell'
- Issue comment#155lauri-codes2025-05-21 06:43Analytical Derivatives for ASCF
- Issue comment#154lauri-codes2025-05-19 10:30SOAP cutoff question: do Gaussian tails leak past r_cut?
- Issue#155nodeterz2025-05-16 09:06Analytical Derivatives for ASCF
- Issue#154alejandroarche2025-05-15 20:12SOAP cutoff question: do Gaussian tails leak past r_cut?
- Issue#153zbaibg2025-04-23 06:13Not Unique SOAP element
- Issue#152ArmanVK2025-03-11 19:58Unable to download scribe v1.2.2 through either pip or anaconda for MBTR
- Issue comment#151alejandroarche2025-02-20 16:51Should I normalize SOAP vectors before applying kernels? Also getting 'ValueError: Input X contains NaN.'
- Issue comment#151lauri-codes2025-02-20 11:13Should I normalize SOAP vectors before applying kernels? Also getting 'ValueError: Input X contains NaN.'
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 106 stars here means stars gained during the window, not the repo's star count.