--- title: "lws vs ollama" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kubernetes-sigs-lws-vs-ollama-ollama" tools: ["kubernetes-sigs-lws", "ollama-ollama"] --- # lws vs ollama *GraphCanon updated Jul 11, 2026* ## Verdict Pick lws when license: lws is Apache-2.0, ollama is MIT; pick ollama when license: ollama is MIT, lws is Apache-2.0. [lws](https://lws.sigs.k8s.io) reports 754 GitHub stars, 160 forks, and 48 open issues, last pushed Jul 9, 2026. [ollama](https://ollama.com) has 176k stars, 17k forks, and 3.4k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [lws's repository](https://github.com/kubernetes-sigs/lws) and [ollama's repository](https://github.com/ollama/ollama). | | [lws](/tools/kubernetes-sigs-lws.md) | [ollama](/tools/ollama-ollama.md) | | --- | --- | --- | | Tagline | LeaderWorkerSet: An API for deploying a group of pods as a unit of replication | Get up and running with various large language models using Ollama. | | Stars | 754 | 175,936 | | Forks | 160 | 16,939 | | Open issues | 48 | 3,423 | | Language | Go | Go | | Adopt for | - | Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT license - permissive open-source licensing that allows for broad use of the tool. | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lws](/tools/kubernetes-sigs-lws.md) | [ollama](/tools/ollama-ollama.md) | | --- | --- | --- | | Open issues (now) | 48 | 3.4k | | Security scan | No lockfile | 52 low (52 low) | | Full report | [trust report](/tools/kubernetes-sigs-lws/trust.md) | [trust report](/tools/ollama-ollama/trust.md) | ## Decision facts: ollama - **Hosting:** self hosted - Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers. - **Adopt for:** Ollama is a Go-based platform that provides tools for deploying and managing large language models (LLMs) like Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma using docker images, package managers, cloud and - **License detail:** MIT license - permissive open-source licensing that allows for broad use of the tool. ## Choose when ### Choose lws if… - License: lws is Apache-2.0, ollama is MIT. - Tags unique to lws: llm-inference, sig-apps. - Leaner open-issue backlog (48). ### Choose ollama if… - License: ollama is MIT, lws is Apache-2.0. - Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers. - Tags unique to ollama: deepseek, gemma, glm, llama. - ollama ships Docker support for self-hosted deployment. - Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or ## When NOT to use lws - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use ollama - Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform. ## Common questions ### What is the difference between lws and ollama? lws: LeaderWorkerSet: An API for deploying a group of pods as a unit of replication. ollama: Get up and running with various large language models using Ollama.. See the comparison table for live GitHub stats and shared categories. ### When should I choose lws over ollama? Choose lws over ollama when License: lws is Apache-2.0, ollama is MIT; Tags unique to lws: llm-inference, sig-apps; Leaner open-issue backlog (48). ### When should I choose ollama over lws? Choose ollama over lws when License: ollama is MIT, lws is Apache-2.0; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Tags unique to ollama: deepseek, gemma, glm, llama; ollama ships Docker support for self-hosted deployment; Use Ollama when you require a multi-model platform supporting several large language models such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and intend to deploy in various cloud or. ### When should I avoid lws? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid ollama? Avoid using Ollama if you are only interested in a single LLM deployment and seek simplified, model-specific solutions with tailored support rather than a comprehensive multi-model platform. ### Is lws or ollama more popular on GitHub? ollama has more GitHub stars (175,936 vs 754). Stars measure visibility, not whether either tool fits your constraints. ### Are lws and ollama open source? Yes - both are open-source projects on GitHub (lws: Apache-2.0, ollama: MIT). ### Where can I find alternatives to lws or ollama? GraphCanon lists graph-backed alternatives at [lws alternatives](/tools/kubernetes-sigs-lws/alternatives) and [ollama alternatives](/tools/ollama-ollama/alternatives) ([lws markdown twin](/tools/kubernetes-sigs-lws/alternatives.md), [ollama markdown twin](/tools/ollama-ollama/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/kubernetes-sigs-lws-vs-ollama-ollama.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lws or ollama? lws: Very active. ollama: 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 lws and ollama? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lws trust report](/tools/kubernetes-sigs-lws/trust); [ollama trust report](/tools/ollama-ollama/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kubernetes-sigs-lws`](/api/graphcanon/graph?tool=kubernetes-sigs-lws) - 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/_