DockerDL provides a deep learning Docker image intended to simplify setup of a deep learning environment.
Open source
24 alternativesYunikorn
Light-weight, universal resource scheduler for container orchestrator systems.
About Yunikorn
Apache YuniKorn Core is the scheduling component of the YuniKorn project. It makes placement decisions about which container runs on which node according to built-in scheduling policies, independent of the underlying resource manager.
It can be deployed as a custom scheduler for Kubernetes and is intended for mixed stateless batch workloads and stateful services in large-scale, multi-tenant, cloud-native environments. Its architecture allows different shim layers for other resource managers, including Apache Hadoop YARN.
Key features
- Makes placement decisions for containers on nodes
- Deploys as a custom scheduler for Kubernetes
- Handles mixed batch workloads and stateful services
- Supports multi-tenant, cloud-native resource sharing
- Allows adaption to different resource managers via shim layer
- Uses built-in scheduling policies for allocation decisions
Best for: Teams managing mixed batch and stateful workloads on Kubernetes in multi-tenant environments.
Good for
- Core implementation is agnostic to the underlying resource manager
- Open source under Apache-2.0 license
- Designed for large-scale, multi-tenant environments
Yunikorn at a glance
- Category
- Development › DevOps & Containers
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Yunikorn FAQ
What does yunikorn-core do?
It is the scheduler brain that makes placement decisions about allocating containers on nodes according to built-in scheduling policies.
How do I get started running YuniKorn on Kubernetes?
Read the documentation on yunikorn.apache.org.
Does this repository include the full YuniKorn deployment?
No. Separate repositories provide the Kubernetes adaptor, scheduling interface, web UI, Helm charts and releases, and website source.
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