--- title: "yunikorn-core vs slurm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-yunikorn-core-vs-schedmd-slurm" tools: ["apache-yunikorn-core", "schedmd-slurm"] --- # yunikorn-core vs slurm *GraphCanon updated Aug 4, 2026* ## Verdict Pick yunikorn-core when yunikorn-core is primarily Go; slurm is C; pick slurm when slurm is primarily C; yunikorn-core is Go. [yunikorn-core](https://yunikorn.apache.org/) reports 1.0k GitHub stars, 279 forks, and 12 open issues, last pushed Aug 3, 2026. [slurm](https://slurm.schedmd.com/) has 4.2k stars, 872 forks, and 14 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [yunikorn-core's repository](https://github.com/apache/yunikorn-core) and [slurm's repository](https://github.com/SchedMD/slurm). | | [yunikorn-core](/tools/apache-yunikorn-core.md) | [slurm](/tools/schedmd-slurm.md) | | --- | --- | --- | | Tagline | Universal resource scheduler for container orchestrator systems | Cluster resource management and job scheduling system | | Stars | 1,023 | 4,205 | | Forks | 279 | 872 | | Open issues | 12 | 14 | | Language | Go | C | | Adopt for | - | Slurm is an open-source workload manager for Linux clusters that focuses on scalability, simplicity, portability, fault-tolerance, and agnostic interconnects. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [yunikorn-core](/tools/apache-yunikorn-core.md) | [slurm](/tools/schedmd-slurm.md) | | --- | --- | --- | | Open issues (now) | 12 | 14 | | Full report | [trust report](/tools/apache-yunikorn-core/trust.md) | [trust report](/tools/schedmd-slurm/trust.md) | ## Decision facts: yunikorn-core - **Pricing:** freemium - yunikorn-core is free and open-source software under the Apache License v2.0. Additional paid services may be available from third parties for enterprise support or integration. - **Requirements:** Ensure you have a container orchestrator system such as Kubernetes or Apache Hadoop YARN to utilize yunikorn-core effectively.; Consider the learning curve associated with setting up and using YuniKorn if your team is not already familiar with its architecture. ## Decision facts: slurm - **Adopt for:** Slurm is an open-source workload manager for Linux clusters that focuses on scalability, simplicity, portability, fault-tolerance, and agnostic interconnects. ## Choose when ### Choose yunikorn-core if… - yunikorn-core is primarily Go; slurm is C. - License: yunikorn-core is Apache-2.0, slurm is Other. - Pricing: yunikorn-core is free and open-source software under the Apache License v2.0. Additional paid services may be available from third parties for enterprise support or integration.. - Requirements: Ensure you have a container orchestrator system such as Kubernetes or Apache Hadoop YARN to utilize yunikorn-core effectively.; Consider the learning curve associated with setting up and using YuniKorn if your team is not already familiar with its architecture.. - Tags unique to yunikorn-core: apache-yarn, go, kubernetes. - Use yunikorn-core when you need efficient fine-grained resource sharing across various workloads in multi-tenant environments. ### Choose slurm if… - slurm is primarily C; yunikorn-core is Go. - License: slurm is Other, yunikorn-core is Apache-2.0. - Tags unique to slurm: cluster-management, job-scheduler, slurm. - For managing large-scale computing clusters requiring exclusive or non-exclusive resources ## When NOT to use yunikorn-core - Avoid yunikorn-core when your orchestrator system is not compatible with universal resource schedulers designed for container orchestration. - Do not use if the project strictly requires scheduler solutions that are deeply integrated with a specific orchestrator, as YuniKorn's core remains agnostic to underlying resource managers. ## When NOT to use slurm - If your cluster operates under an operating system other than Linux - When detailed interconnect knowledge is necessary, as Slurm does not specialize in specific network types - For smaller clusters that do not benefit from the complexity of a full-fledged workload manager ## Common questions ### What is the difference between yunikorn-core and slurm? yunikorn-core: Universal resource scheduler for container orchestrator systems. slurm: Cluster resource management and job scheduling system. See the comparison table for live GitHub stats and shared categories. ### When should I choose yunikorn-core over slurm? Choose yunikorn-core over slurm when yunikorn-core is primarily Go; slurm is C; License: yunikorn-core is Apache-2.0, slurm is Other; Pricing: yunikorn-core is free and open-source software under the Apache License v2.0. Additional paid services may be available from third parties for enterprise support or integration.; Requirements: Ensure you have a container orchestrator system such as Kubernetes or Apache Hadoop YARN to utilize yunikorn-core effectively.; Consider the learning curve associated with setting up and using YuniKorn if your team is not already familiar with its architecture.; Tags unique to yunikorn-core: apache-yarn, go, kubernetes; Use yunikorn-core when you need efficient fine-grained resource sharing across various workloads in multi-tenant environments. ### When should I choose slurm over yunikorn-core? Choose slurm over yunikorn-core when slurm is primarily C; yunikorn-core is Go; License: slurm is Other, yunikorn-core is Apache-2.0; Tags unique to slurm: cluster-management, job-scheduler, slurm; For managing large-scale computing clusters requiring exclusive or non-exclusive resources. ### When should I avoid yunikorn-core? Avoid yunikorn-core when your orchestrator system is not compatible with universal resource schedulers designed for container orchestration. Do not use if the project strictly requires scheduler solutions that are deeply integrated with a specific orchestrator, as YuniKorn's core remains agnostic to underlying resource managers. ### When should I avoid slurm? If your cluster operates under an operating system other than Linux When detailed interconnect knowledge is necessary, as Slurm does not specialize in specific network types For smaller clusters that do not benefit from the complexity of a full-fledged workload manager ### Is yunikorn-core or slurm more popular on GitHub? slurm has more GitHub stars (4,205 vs 1,023). Stars measure visibility, not whether either tool fits your constraints. ### Are yunikorn-core and slurm open source? Yes - both are open-source projects on GitHub (yunikorn-core: Apache-2.0, slurm: Other). ### Where can I find alternatives to yunikorn-core or slurm? GraphCanon lists graph-backed alternatives at [yunikorn-core alternatives](/tools/apache-yunikorn-core/alternatives) and [slurm alternatives](/tools/schedmd-slurm/alternatives) ([yunikorn-core markdown twin](/tools/apache-yunikorn-core/alternatives.md), [slurm markdown twin](/tools/schedmd-slurm/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/apache-yunikorn-core-vs-schedmd-slurm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, yunikorn-core or slurm? yunikorn-core: Very active. slurm: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for yunikorn-core and slurm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [yunikorn-core trust report](/tools/apache-yunikorn-core/trust); [slurm trust report](/tools/schedmd-slurm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=apache-yunikorn-core`](/api/graphcanon/graph?tool=apache-yunikorn-core) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_