--- title: "yunikorn-core vs clusternet" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-yunikorn-core-vs-clusternet-clusternet" tools: ["apache-yunikorn-core", "clusternet-clusternet"] --- # yunikorn-core vs clusternet *GraphCanon updated Aug 11, 2026* ## Verdict Pick yunikorn-core when 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.; pick clusternet when tags unique to clusternet: cloud-native, cluster-management, distributed-cloud, edge-cloud. [yunikorn-core](https://yunikorn.apache.org/) reports 1.0k GitHub stars, 279 forks, and 12 open issues, last pushed Aug 3, 2026. [clusternet](https://clusternet.io) has 1.4k stars, 209 forks, and 72 open issues, last pushed Jul 28, 2026. Figures are from public GitHub metadata via [yunikorn-core's repository](https://github.com/apache/yunikorn-core) and [clusternet's repository](https://github.com/clusternet/clusternet). | | [yunikorn-core](/tools/apache-yunikorn-core.md) | [clusternet](/tools/clusternet-clusternet.md) | | --- | --- | --- | | Tagline | Universal resource scheduler for container orchestrator systems | Kubernetes cluster management made easier | | Stars | 1,023 | 1,447 | | Forks | 279 | 209 | | Open issues | 12 | 72 | | Language | Go | Go | | Adopt for | - | Clusternet simplifies Kubernetes cluster management across various cloud types including public, private and edge environments using Go language under Apache-2.0 license. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [yunikorn-core](/tools/apache-yunikorn-core.md) | [clusternet](/tools/clusternet-clusternet.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 14d | | Open issues (now) | 12 | 72 | | Full report | [trust report](/tools/apache-yunikorn-core/trust.md) | [trust report](/tools/clusternet-clusternet/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: clusternet - **Adopt for:** Clusternet simplifies Kubernetes cluster management across various cloud types including public, private and edge environments using Go language under Apache-2.0 license. ## Choose when ### Choose yunikorn-core if… - 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. - Use yunikorn-core when you need efficient fine-grained resource sharing across various workloads in multi-tenant environments. ### Choose clusternet if… - Tags unique to clusternet: cloud-native, cluster-management, distributed-cloud, edge-cloud. - clusternet ships Docker support for self-hosted deployment. - When needing to unify the management of diverse Kubernetes clusters whether they be in a public, private, or edge environment ## 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 clusternet - If looking for tools specifically designed for non-Kubernetes environments, Clusternet focuses exclusively on Kubernetes ecosystem - When a custom cluster-management solution is required, as Clusternet may not offer extensive customization options out-of-the-box available in some competitor solutions ## Common questions ### What is the difference between yunikorn-core and clusternet? yunikorn-core: Universal resource scheduler for container orchestrator systems. clusternet: Kubernetes cluster management made easier. See the comparison table for live GitHub stats and shared categories. ### When should I choose yunikorn-core over clusternet? Choose yunikorn-core over clusternet when 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; Use yunikorn-core when you need efficient fine-grained resource sharing across various workloads in multi-tenant environments. ### When should I choose clusternet over yunikorn-core? Choose clusternet over yunikorn-core when Tags unique to clusternet: cloud-native, cluster-management, distributed-cloud, edge-cloud; clusternet ships Docker support for self-hosted deployment; When needing to unify the management of diverse Kubernetes clusters whether they be in a public, private, or edge environment. ### 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 clusternet? If looking for tools specifically designed for non-Kubernetes environments, Clusternet focuses exclusively on Kubernetes ecosystem When a custom cluster-management solution is required, as Clusternet may not offer extensive customization options out-of-the-box available in some competitor solutions ### Is yunikorn-core or clusternet more popular on GitHub? clusternet has more GitHub stars (1,447 vs 1,023). Stars measure visibility, not whether either tool fits your constraints. ### Are yunikorn-core and clusternet open source? Yes - both are open-source projects on GitHub (yunikorn-core: Apache-2.0, clusternet: Apache-2.0). ### Where can I find alternatives to yunikorn-core or clusternet? GraphCanon lists graph-backed alternatives at [yunikorn-core alternatives](/tools/apache-yunikorn-core/alternatives) and [clusternet alternatives](/tools/clusternet-clusternet/alternatives) ([yunikorn-core markdown twin](/tools/apache-yunikorn-core/alternatives.md), [clusternet markdown twin](/tools/clusternet-clusternet/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-clusternet-clusternet.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, yunikorn-core or clusternet? yunikorn-core: Very active. clusternet: 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 clusternet? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [yunikorn-core trust report](/tools/apache-yunikorn-core/trust); [clusternet trust report](/tools/clusternet-clusternet/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/_