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apache/yunikorn-core

Apache YuniKorn Core observed · 2026-09-03

github.com/apache/yunikorn-core · homepage · Go · Apache-2.0 (permissive) observed · 2026-09-03

Health v2 · maintenance only

90/100

  • Activity 100
  • Release rhythm 71
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 106.0
  • age_days: 2638
  • days_rel: 35
  • days_push: 0
  • n_releases_24m: 7

Full methodology

Adoption not part of the score

1025 stars · 287 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Apache YuniKorn Core is the core scheduling engine of a lightweight, universal resource scheduler for container orchestrators, primarily deployed as a custom Kubernetes scheduler. It provides fine-grained, multi-tenant resource sharing with hierarchical queues, fairness policies, preemption, and gang scheduling for mixed batch and stateful workloads.

Use cases

  • schedule batch and ML workloads on Kubernetes with fair resource sharing
  • enforce per-team resource quotas with hierarchical queues in a multi-tenant cluster
  • replace the default Kubernetes scheduler for better gang scheduling and bin-packing
  • run mixed stateless batch and stateful workloads with predictable scheduling order
  • track and monitor tenant resource usage across queues via a central web UI
  • reduce cloud costs by improving cluster bin-packing and autoscaler elasticity

When to choose

  • you run large-scale multi-tenant Kubernetes clusters with batch, Spark, or ML jobs needing queue-based fairness
  • you need gang scheduling, preemption, or hierarchical resource quotas beyond the default K8s scheduler
  • you want a unified scheduling layer that can also target other resource managers like Hadoop YARN

When to avoid

  • you have simple workloads where the default Kubernetes scheduler is sufficient
  • you need a scheduler for non-container platforms without a shim layer
  • you cannot operate additional components like the admission controller and web UI

Facets

service · maturity active

container-orchestration scheduling monitoring middleware cloud-computing microservices big-data go cloud self-hosted resource-scheduler multi-tenancy gang-scheduling fair-scheduling batch-workloads apache yarn hierarchical-queues preemption bin-packing containers devops kubernetes docker

10 sources

Member repositories

RepositoryRoleHealth v2
apache/yunikorn-coremain90

For agents

markdown · JSON · MCP: product_card(name="apache/yunikorn-core")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem