Home/Compare/yalm vs ollama

Comparison

yalm vs ollama

Verdict

Pick yalm when yalm is primarily C++; ollama is Go; pick ollama when ollama is primarily Go; yalm is C++.

Markdown twin · yalm alternatives · ollama alternatives

GraphCanon updated today

yalm logo

yalm

andrewkchan/yalm

591pushed Sep 13, 2025
vs
ollama logo

ollama

ollama/ollama

176kpushed Jul 10, 2026

Trust & integrity

Signalyalmollama
Maintenance
Slowing (301d since push)
As of today · github_public_v1
Very active (1d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal 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

Tagline

yalm
Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
ollama
Get up and running with various large language models using Ollama.

Stars

yalm
591
ollama
176k

Forks

yalm
64
ollama
17k

Open issues

yalm
4
ollama
3.4k

Language

yalm
C++
ollama
Go

Adopt for

yalm
-
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

yalm
-
ollama
-

Runtime

yalm
-
ollama
-

License

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

Last pushed

yalm
Sep 13, 2025
ollama
Jul 10, 2026

Categories

yalm
LLM Frameworks, Inference & Serving
ollama
LLM Frameworks, Inference & Serving

Trust and health

Maintenance

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

Days since push

yalm
301d
ollama
1d

Open issues (now)

yalm
4
ollama
3.4k

Owner type

yalm
User
ollama
Organization

Security scan

yalm
No lockfile
ollama
52 low (52 low)

Full report

Choose yalm if…

  • yalm is primarily C++; ollama is Go.
  • Tags unique to yalm: llm, machine-learning, cpp, cuda.
  • Leaner open-issue backlog (4).

When NOT to use yalm

  • Last GitHub push was 301 days ago (slowing maintenance, Sep 13, 2025). Validate activity before betting a new project on yalm.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose ollama if…

  • ollama is primarily Go; yalm is C++.
  • Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
  • Tags unique to ollama: go, llms, mistral, gemma.
  • 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.

Explore

Sources

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

GitHub stars on cards: yalm 591 · ollama 176k (synced Jul 11, 2026).

Common questions

What is the difference between yalm and ollama?
yalm: Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O. 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 yalm over ollama?
Choose yalm over ollama when yalm is primarily C++; ollama is Go; Tags unique to yalm: llm, machine-learning, cpp, cuda; Leaner open-issue backlog (4).
When should I choose ollama over yalm?
Choose ollama over yalm when ollama is primarily Go; yalm is C++; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Tags unique to ollama: go, llms, mistral, gemma; 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 yalm?
Last GitHub push was 301 days ago (slowing maintenance, Sep 13, 2025). Validate activity before betting a new project on yalm. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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 yalm or ollama more popular on GitHub?
ollama has more GitHub stars (175,936 vs 591). Stars measure visibility, not whether either tool fits your constraints.
Are yalm and ollama open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to yalm or ollama?
GraphCanon lists graph-backed alternatives at yalm alternatives and ollama alternatives (yalm 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, yalm or ollama?
yalm: 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 yalm and ollama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: yalm trust report; ollama trust report.