--- title: "yunikorn-core vs atmos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/apache-yunikorn-core-vs-cloudposse-atmos" tools: ["apache-yunikorn-core", "cloudposse-atmos"] --- # yunikorn-core vs atmos *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 atmos when tags unique to atmos: automation, cli, cloud, devops. [yunikorn-core](https://yunikorn.apache.org/) reports 1.0k GitHub stars, 279 forks, and 12 open issues, last pushed Aug 3, 2026. [atmos](https://atmos.tools) has 1.4k stars, 174 forks, and 304 open issues, last pushed Aug 11, 2026. Figures are from public GitHub metadata via [yunikorn-core's repository](https://github.com/apache/yunikorn-core) and [atmos's repository](https://github.com/cloudposse/atmos). | | [yunikorn-core](/tools/apache-yunikorn-core.md) | [atmos](/tools/cloudposse-atmos.md) | | --- | --- | --- | | Tagline | Universal resource scheduler for container orchestrator systems | Terraform Orchestration Tool for DevOps using Go | | Stars | 1,023 | 1,352 | | Forks | 279 | 174 | | Open issues | 12 | 304 | | Language | Go | Go | | Adopt for | - | Atmos is a Terraform orchestration tool for DevOps written in Go. It supports hierarchical imports and inheritance to keep environment configuration DRY. | | 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) | [atmos](/tools/cloudposse-atmos.md) | | --- | --- | --- | | Open issues (now) | 12 | 304 | | Full report | [trust report](/tools/apache-yunikorn-core/trust.md) | [trust report](/tools/cloudposse-atmos/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: atmos - **Adopt for:** Atmos is a Terraform orchestration tool for DevOps written in Go. It supports hierarchical imports and inheritance to keep environment configuration DRY. ## 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, kubernetes. - Use yunikorn-core when you need efficient fine-grained resource sharing across various workloads in multi-tenant environments. ### Choose atmos if… - Tags unique to atmos: automation, cli, cloud, devops. - atmos ships Docker support for self-hosted deployment. - When you need a tool that supports both Terraform and Helmfile natively, allowing for streamlined management of infrastructure as code with rich inheritance capabilities. ## 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 atmos - Avoid using Atmos if you are looking for a solution that supports a wider range of infrastructure definition languages beyond Terraform and Helmfile. - Not suitable for those who require extensive UI features, as it primarily focuses on CLI operations and automated DRY configurations. ## Common questions ### What is the difference between yunikorn-core and atmos? yunikorn-core: Universal resource scheduler for container orchestrator systems. atmos: Terraform Orchestration Tool for DevOps using Go. See the comparison table for live GitHub stats and shared categories. ### When should I choose yunikorn-core over atmos? Choose yunikorn-core over atmos 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, kubernetes; Use yunikorn-core when you need efficient fine-grained resource sharing across various workloads in multi-tenant environments. ### When should I choose atmos over yunikorn-core? Choose atmos over yunikorn-core when Tags unique to atmos: automation, cli, cloud, devops; atmos ships Docker support for self-hosted deployment; When you need a tool that supports both Terraform and Helmfile natively, allowing for streamlined management of infrastructure as code with rich inheritance capabilities. ### 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 atmos? Avoid using Atmos if you are looking for a solution that supports a wider range of infrastructure definition languages beyond Terraform and Helmfile. Not suitable for those who require extensive UI features, as it primarily focuses on CLI operations and automated DRY configurations. ### Is yunikorn-core or atmos more popular on GitHub? atmos has more GitHub stars (1,352 vs 1,023). Stars measure visibility, not whether either tool fits your constraints. ### Are yunikorn-core and atmos open source? Yes - both are open-source projects on GitHub (yunikorn-core: Apache-2.0, atmos: Apache-2.0). ### Where can I find alternatives to yunikorn-core or atmos? GraphCanon lists graph-backed alternatives at [yunikorn-core alternatives](/tools/apache-yunikorn-core/alternatives) and [atmos alternatives](/tools/cloudposse-atmos/alternatives) ([yunikorn-core markdown twin](/tools/apache-yunikorn-core/alternatives.md), [atmos markdown twin](/tools/cloudposse-atmos/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-cloudposse-atmos.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, yunikorn-core or atmos? yunikorn-core: Very active. atmos: 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 atmos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [yunikorn-core trust report](/tools/apache-yunikorn-core/trust); [atmos trust report](/tools/cloudposse-atmos/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/_