Home/Compare/aiac vs ollama

Comparison

aiac vs ollama

Verdict

Pick aiac when license: aiac is Apache-2.0, ollama is MIT; pick ollama when license: ollama is MIT, aiac is Apache-2.0.

Markdown twin · aiac alternatives · ollama alternatives

GraphCanon updated today

aiac logo

aiac

gofireflyio/aiac

3.8kpushed Mar 24, 2026
vs
ollama logo

ollama

ollama/ollama

176kpushed Jul 10, 2026

Trust & integrity

Signalaiacollama
Maintenance
Slowing (113d since push)
As of today · github_public_v1
Very active (1d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 3d · github_public_v1
OSV dependency advisories
Published findings
As of today · osv@v1
Published findings
As of 3d · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

aiac
Artificial Intelligence Infrastructure-as-Code Generator.
ollama
Get up and running with various large language models using Ollama.

Stars

aiac
3.8k
ollama
176k

Forks

aiac
294
ollama
17k

Open issues

aiac
2
ollama
3.4k

Language

aiac
Go
ollama
Go

Adopt for

aiac
-
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

aiac
-
ollama
-

Runtime

aiac
-
ollama
-

License

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

Last pushed

aiac
Mar 24, 2026
ollama
Jul 10, 2026

Categories

aiac
Inference & Serving, LLM Frameworks
ollama
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

aiac
Slowing (36%)
ollama
Very active (96%)

Days since push

aiac
113d
ollama
1d

Open issues (now)

aiac
2
ollama
3.4k

Full report

Choose aiac if…

  • License: aiac is Apache-2.0, ollama is MIT.
  • Tags unique to aiac: ai, amazon-bedrock, chatgpt, iac.
  • Leaner open-issue backlog (2).

When NOT to use aiac

  • Last GitHub push was 113 days ago (slowing maintenance, Mar 24, 2026). Validate activity before betting a new project on aiac.
  • 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.

Choose ollama if…

  • License: ollama is MIT, aiac 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, go.
  • 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.

Explore

Sources

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

GitHub stars on cards: aiac 3.8k · ollama 176k (synced Jul 15, 2026).

Common questions

What is the difference between aiac and ollama?
aiac: Artificial Intelligence Infrastructure-as-Code Generator.. 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 aiac over ollama?
Choose aiac over ollama when License: aiac is Apache-2.0, ollama is MIT; Tags unique to aiac: ai, amazon-bedrock, chatgpt, iac; Leaner open-issue backlog (2).
When should I choose ollama over aiac?
Choose ollama over aiac when License: ollama is MIT, aiac 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, go; 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 aiac?
Last GitHub push was 113 days ago (slowing maintenance, Mar 24, 2026). Validate activity before betting a new project on aiac. 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 aiac or ollama more popular on GitHub?
ollama has more GitHub stars (175,936 vs 3,787). Stars measure visibility, not whether either tool fits your constraints.
Are aiac and ollama open source?
Yes - both are open-source projects on GitHub (aiac: Apache-2.0, ollama: MIT).
Where can I find alternatives to aiac or ollama?
GraphCanon lists graph-backed alternatives at aiac alternatives and ollama alternatives (aiac 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, aiac or ollama?
aiac: Slowing. 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 aiac and ollama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aiac trust report; ollama trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.