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Comparison

guidance vs ollama

Verdict

Pick guidance if guidance is a specialized tool written in Jupyter Notebooks that provides a unique language to control large language models (LLMs) across multiple backends such as Transformers, llama.cpp, and OpenAI. It's open-source,轻; pick ollama if 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.

Markdown twin · guidance alternatives · ollama alternatives

GraphCanon updated today

guidance logo

guidance

guidance-ai/guidance

★ 22kpushed May 21, 2026
vs
ollama logo

ollama

ollama/ollama

★ 176kpushed Jul 10, 2026

Trust & integrity

Signalguidanceollama
Maintenance
Steady (50d since push)
As of 1d · github_public_v1
Very active (1d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
52 low (52 low)
As of today · osv@v1
guidance trust reportollama trust reportTrust methodology

Tagline

guidance
A guidance language for controlling large language models.
ollama
Get up and running with various large language models using Ollama.

Stars

guidance
22k
ollama
176k

Forks

guidance
1.2k
ollama
17k

Open issues

guidance
303
ollama
3.4k

Language

guidance
Jupyter Notebook
ollama
Go

Adopt for

guidance
Guidance is a specialized tool written in Jupyter Notebooks that provides a unique language to control large language models (LLMs) across multiple backends such as Transformers, llama.cpp, and OpenAI. It's open-source,轻
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

guidance
-
ollama
-

Runtime

guidance
-
ollama
-

License

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

Last pushed

guidance
May 21, 2026
ollama
Jul 10, 2026

Categories

guidance
Inference & Serving, LLM Frameworks
ollama
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

guidance
Steady (60%)
ollama
Very active (96%)

Days since push

guidance
50d
ollama
1d

Open issues (now)

guidance
303
ollama
3.4k

Security scan

guidance
No lockfile
ollama
52 low (52 low)

Full report

guidance
Trust report
ollama
Trust report

Shared compatibility

  • Python · guidance: Python runtime · ollama: Python runtime

Choose guidance if…

  • guidance is primarily Jupyter Notebook; ollama is Go.
  • Tags unique to guidance: backend support, control language, language models, pip-installable.
  • When you need a specific language to finely control various LLM backends including Transformers, llama.cpp, and OpenAI

When NOT to use guidance

  • When your project is strictly confined to using only one type of backend which you can manage without a specialized control language
  • If your development environment does not support or prefer Jupyter Notebooks, Guidance may not be the best choice
GitHubDetails

Choose ollama if…

  • ollama is primarily Go; guidance is Jupyter Notebook.
  • Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
  • Tags unique to ollama: deepseek, gemma, glm, go.
  • 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

guidance 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: guidance 22k · ollama 176k (synced Jul 11, 2026).

Common questions

What is the difference between guidance and ollama?
guidance: A guidance language for controlling large language models.. 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 guidance over ollama?
Choose guidance over ollama when guidance is primarily Jupyter Notebook; ollama is Go; Tags unique to guidance: backend support, control language, language models, pip-installable; When you need a specific language to finely control various LLM backends including Transformers, llama.cpp, and OpenAI.
When should I choose ollama over guidance?
Choose ollama over guidance when ollama is primarily Go; guidance is Jupyter Notebook; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Tags unique to ollama: deepseek, gemma, glm, go; 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 guidance?
When your project is strictly confined to using only one type of backend which you can manage without a specialized control language If your development environment does not support or prefer Jupyter Notebooks, Guidance may not be the best choice
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 guidance or ollama more popular on GitHub?
ollama has more GitHub stars (175,936 vs 21,656). Stars measure visibility, not whether either tool fits your constraints.
Are guidance and ollama open source?
Yes - both are open-source projects on GitHub (guidance: MIT, ollama: MIT).
Where can I find alternatives to guidance or ollama?
GraphCanon lists graph-backed alternatives at guidance alternatives and ollama alternatives (guidance 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, guidance or ollama?
guidance: Steady. 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 guidance and ollama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: guidance trust report; ollama trust report.