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aws-solutions/mlops-workload-orchestrator

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The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.

active 2023-08-15 → 2025-09-07 (UTC)

Complete coverage28,238 / 28,238 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-03 (UTC)
Events
82
Pushes
10
Pull requests
14
Issues
2
Stars
24
Forks
13

Activity over time

Daily event counts in the loaded window

Line chart, 755 days from 2023-08-15 to 2025-09-07. Pushes: 10 total, peak 3 in a day. Pull requests: 14 total, peak 3 in a day. Issues: 2 total, peak 1 in a day. Comments: 3 total, peak 1 in a day. Stars: 24 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
fhoueto-amz18870
dependabot[bot]4031
tabdunabi3120
ysdholak3002
dougtoppin2110
jangidms1010
zortx2331000

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.