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Explainable Boosted Scoring with Python: turning XGBoost, LightGBM, and CatBoost into explainable scorecards

active 2024-02-012026-05-14 (UTC)

Complete coverage26,425 / 26,425 hourly files (100%) · 2 absent upstream2023-08-152026-08-20 (UTC)
Events
135
Pushes
26
Pull requests
5
Issues
10
Stars
27
Forks
6

Activity over time

Daily event counts in the loaded window

Line chart, 834 days from 2024-02-01 to 2026-05-14. Pushes: 26 total, peak 6 in a day. Pull requests: 5 total, peak 1 in a day. Issues: 10 total, peak 4 in a day. Comments: 35 total, peak 8 in a day. Stars: 27 total, peak 4 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
xRiskLab392627
sourcery-ai[bot]250019
RektPunk11036
jmonteroers7013
deburky5005
netlify[bot]1001
Jagadeesha891000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#15RektPunk2026-04-19 12:59
    [Bugfix] set permissions to compatibility github action
  • Pull request#17xRiskLab2026-04-19 12:40
  • Issue comment#15sourcery-ai[bot]2025-12-22 05:25
    [Bugfix] set permissions to compatibility github action
  • Pull request#15RektPunk2025-12-22 05:25
  • Issue comment#14xRiskLab2025-12-21 15:04
    [Refactor] make `xgb_construct` fast
  • Issue comment#11xRiskLab2025-12-21 15:04
    [Refactor] make faster `_convert_tree_to_points` use np.vectorize instead of merge in `xbooster/lgb_constructor.py`
  • Issue comment#14sourcery-ai[bot]2025-12-21 08:26
    [Refactor] make `xgb_construct` fast
  • Pull request#14RektPunk2025-12-21 08:26
  • Issue comment#11sourcery-ai[bot]2025-12-20 07:05
    [Feature] make faster `_convert_tree_to_points` use np.vectorize instead of merge
  • Issue#7RektPunk2025-11-27 01:45
    Feature Request: Support for LightGBM Model Integration
  • Issue comment#7RektPunk2025-11-27 01:45
    Feature Request: Support for LightGBM Model Integration
  • ReleasexRiskLab2025-11-23 12:05
    v0.2.7rc1 - LightGBM Scorecard Support (RC)
  • ReleasexRiskLab2025-11-23 11:59
    v0.2.7rc1 - LightGBM Scorecard Support (RC)
  • Issue comment#9xRiskLab2025-11-23 10:06
    Inconsistency: Might use `split_gain` instead of `value` in `lgb_constructor.py`
  • Issue comment#8RektPunk2025-11-22 13:38
    [Feature] create `construct_scorecard` and fix `get_leafs` and in `lgb_constructor`
  • Issue comment#8RektPunk2025-11-12 02:05
    [Feature] create `construct_scorecard` and fix `get_leafs` and in `lgb_constructor`
  • Issue comment#8xRiskLab2025-11-11 20:59
    [Feature] create `construct_scorecard` and fix `get_leafs` and in `lgb_constructor`
  • Issue comment#8xRiskLab2025-11-11 20:54
    [Feature] create `construct_scorecard` and fix `get_leafs` and in `lgb_constructor`
  • Issue comment#7RektPunk2025-11-09 13:08
    Feature Request: Support for LightGBM Model Integration
  • ReleasexRiskLab2025-11-08 12:51
    v0.2.7a2 - LightGBM Alpha (Updated)
  • Issue comment#7RektPunk2025-11-08 10:17
    Feature Request: Support for LightGBM Model Integration
  • Issue#1xRiskLab2025-11-07 19:37
    Model import error
  • Issue comment#7xRiskLab2025-11-07 13:44
    Feature Request: Support for LightGBM Model Integration
  • ReleasexRiskLab2025-11-06 13:53
    v0.2.7 - Code Optimization & Developer Tools
  • Issue comment#5deburky2025-10-31 17:26
    Bug: README Example Fails Due to String Formatting in Configuration

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 27 stars here means stars gained during the window, not the repo's star count.