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Python interface for the SCIP Optimization Suite

active 2024-11-242026-08-08 (UTC)

Partial coverage12,907 / 15,006 hourly files (86%) · 2 absent upstream · 2,093 failed, retryable2024-11-232026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
1.7K
Pushes
261
Pull requests
103
Issues
88
Stars
82
Forks
12

Activity over time

Daily event counts in the loaded window

Line chart, 623 days from 2024-11-24 to 2026-08-08. Pushes: 261 total, peak 13 in a day. Pull requests: 103 total, peak 4 in a day. Issues: 88 total, peak 3 in a day. Comments: 675 total, peak 60 in a day. Stars: 82 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

ContributorContributionsPushesPRsComments
Joao-Dionisio64821551240
DominikKamp28830175
Zeroto52115801783
Copilot790031
mmghannam5322415
jonathanberthias17049
abb-omidi160114
JasonSloan11004
kkazda9007
MySweetEden8015
pfetsch8241
Opt-Mucca7302
dcurrie7004
svigerske6105
sbernasek-albert4003
a1ex-siege4040
cjh6684003
jnh2774002
codecov[bot]4004
leinace10014001

Recent activity

Latest issues, pull requests and releases

  • Pull request#1239abb-omidi2026-08-08 12:02
  • Issue comment#1229jonathanberthias2026-06-20 21:00
    Generate stub tests for all expression arithmetic
  • Issue comment#1226mkoeppe2026-06-11 14:53
    Announcement: PySCIPOpt in the browser (WASM)
  • Issue#1143Joao-Dionisio2026-05-24 00:21
    Incorporating real-world SCIP usage into performance testing: your use cases welcome!
  • Issue comment#1221Joao-Dionisio2026-05-21 21:46
    Wrap `captureCons` and `releaseCons`
  • Pull request#1219Zeroto5212026-05-16 12:17
  • Issue comment#1215Joao-Dionisio2026-05-09 11:33
    Interface `solveProbingLPWithPricing()`
  • Issue comment#1182Joao-Dionisio2026-05-02 22:58
    Return `NotImplemented` for `Expr` and `GenExpr` operators to simplify
  • Issue comment#1212Joao-Dionisio2026-04-23 22:40
    Upgrade to SCIP 10.0.2
  • Pull request#1211Joao-Dionisio2026-04-23 17:12
  • Pull request#1208Joao-Dionisio2026-04-22 11:43
  • Issue comment#1194DominikKamp2026-04-19 22:55
    Replace weakref.proxy with strong references for plugin self.model (#…
  • Issue comment#1194Joao-Dionisio2026-04-18 12:52
    Replace weakref.proxy with strong references for plugin self.model (#…
  • Issue comment#1206Joao-Dionisio2026-04-14 09:23
    Regression: test_tree fails with scip 10.0.2
  • Issue comment#1205Zeroto5212026-04-09 23:51
    Speed up Expr `__add__` and `__iadd__`
  • Issue comment#1170Joao-Dionisio2026-04-06 02:08
    Feature: Expr and GenExpr support numpy unary func like `np.sin`
  • Issue comment#1170Joao-Dionisio2026-04-03 14:54
    Feature: Expr and GenExpr support numpy unary func like `np.sin`
  • Pull request#1184Zeroto5212026-04-03 14:42
  • Pull request#1202Joao-Dionisio2026-04-03 12:34
  • Issue comment#1182Zeroto5212026-04-01 13:39
    Return `NotImplemented` for `Expr` and `GenExpr` operators to simplify
  • Issue#1200JasonSloan2026-03-18 00:30
    solveConcurrent() in repeated runs within one Python process appears to accumulate native memory and may eventually crash with segfault
  • Issue comment#1185Zeroto5212026-03-12 08:34
    Speed up `constant * Expr`
  • Issue comment#1196pfetsch2026-03-08 11:01
    Avoid random order dependence of nonlinear expressions
  • Pull request#1196pfetsch2026-03-08 10:50
  • Pull request#1196pfetsch2026-03-06 17:54

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 82 stars here means stars gained during the window, not the repo's star count.