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SAP-samples/hana-ml-samples

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This project provides code examples for SAP HANA Predictive and Machine Learning scenarios and is educational content. It covers simple Predictive Analysis Library SQL examples as well as complete SAP HANA design-time “ML scenario”-application content or HANA-ML Python Notebook examples.

active 2023-08-22 → 2026-10-25 (UTC)

Complete coverage28,052 / 28,052 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-26 (UTC)
Events
86
Pushes
27
Pull requests
2
Issues
9
Stars
24
Forks
11

Activity over time

Daily event counts in the loaded window

Line chart, 1161 days from 2023-08-22 to 2026-10-25. Pushes: 27 total, peak 4 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 9 total, peak 4 in a day. Comments: 11 total, peak 3 in a day. Stars: 24 total, peak 1 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
cmog181800
sap-repository-linter[bot]9004
MarcDaniau8700
raymondyao5005
johnnyssr3002
d0540702200
sap-ospo-bot1010
skye04021000
xinchen66s301010
aiAdrian1000
zhaowei03151000

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 24 stars here means stars gained during the window, not the repo's star count.