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Comparison

lws vs ollama

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.

Markdown twin · lws alternatives · ollama alternatives

GraphCanon updated today

lws logo

lws

kubernetes-sigs/lws

★ 754pushed Jul 9, 2026
vs
ollama logo

ollama

ollama/ollama

★ 176kpushed Jul 10, 2026

Trust & integrity

Signallwsollama
Maintenance
Very active (1d since push)
As of today · github_public_v1
Very active (1d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
52 low (52 low)
As of today · osv@v1
lws trust reportollama trust reportTrust methodology

Tagline

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.

Stars

lws
754
ollama
176k

Forks

lws
160
ollama
17k

Open issues

lws
48
ollama
3.4k

Language

lws
Go
ollama
Go

Adopt for

lws
-
ollama
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

lws
-
ollama
-

Runtime

lws
-
ollama
-

License

lws
Apache-2.0
ollama
MIT license - permissive open-source licensing that allows for broad use of the tool.

Last pushed

lws
Jul 9, 2026
ollama
Jul 10, 2026

Categories

lws
Inference & Serving, LLM Frameworks
ollama
Inference & Serving, LLM Frameworks

Trust and health

Open issues (now)

lws
48
ollama
3.4k

Security scan

lws
No lockfile
ollama
52 low (52 low)

Full report

lws
Trust report
ollama
Trust report

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).

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.
GitHubDetails

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 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.
GitHubDetails

Explore

lws trust report →ollama trust report →Inference & Serving category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: lws 754 · ollama 176k (synced Jul 11, 2026).

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 and ollama alternatives (lws markdown twin, ollama markdown twin), 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 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; ollama trust report.