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Comparison

lanarky vs ollama

Verdict

Pick lanarky if lanarky is a deprecated Python library for building LLM microservices, built on FastAPI; pick ollama if ollama is a Go-based framework for deploying and running various large language models, including Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma.

Markdown twin · lanarky alternatives · ollama alternatives

GraphCanon updated Sep 30, 2026

17views this month

lanarky logo

lanarky

ajndkr/lanarky

★ 990pushed Jul 6, 2024
vs
ollama logo

ollama

ollama/ollama

★ 181kpushed Sep 17, 2026

Trust & integrity

Signallanarkyollama
Maintenance
Archived (804d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
Published findings
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Published findings
As of Aug 9, 2026 · deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
No public record from this source
As of Aug 2, 2026 · openssf-scorecard@v1
lanarky trust reportollama trust reportTrust methodology

Tagline

lanarky
A deprecated web framework for building LLM microservices
ollama
Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

Stars

lanarky
990
ollama
181k

Forks

lanarky
76
ollama
18k

Open issues

lanarky
10
ollama
4.0k

Language

lanarky
Python
ollama
Go

Adopt for

lanarky
Lanarky is a deprecated Python library for building LLM microservices, built on FastAPI.
ollama
Ollama is a Go-based framework for deploying and running various large language models, including Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma.

Persona

lanarky
-
ollama
-

Runtime

lanarky
-
ollama
-

License

lanarky
Lanarky is distributed under the MIT License, allowing for broad usage and modification.
ollama
MIT

Last pushed

lanarky
Jul 6, 2024
ollama
Sep 17, 2026

Categories

lanarky
Inference & Serving, LLM Frameworks
ollama
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

lanarky
Archived (8%)
ollama
Very active (96%)

Days since push

lanarky
804d
ollama
0d

Archived on GitHub

lanarky
Yes
ollama
No

Open issues (now)

lanarky
10
ollama
4.0k

Stars delta

lanarky
-2 (30d)
ollama
+3.7k (30d)

Open issues delta

lanarky
+1 (30d)
ollama
+451 (30d)

Owner type

lanarky
User
ollama
Organization

OSV dependency advisories

lanarky
No lockfile (source not queried)
ollama
Published findings

deps.dev advisories

lanarky
Not queried
ollama
Published findings

OpenSSF Scorecard

lanarky
Not queried
ollama
No public record from this source

Full report

lanarky
Trust report
ollama
Trust report

Shared compatibility

  • Python · lanarky: Python runtime · ollama: Python runtime

Choose lanarky if…

  • lanarky is primarily Python; ollama is Go.
  • Pricing: The library is free to use, but as it is deprecated, there is no paid support or updates available..
  • Requirements: Min 1 GB RAM; Lanarky requires Python and can be installed via pip..
  • Tags unique to lanarky: deprecated-repo, fastapi, llmops, microservices.
  • Use Lanarky if you are working on legacy projects that already depend on it and need to maintain compatibility.

When NOT to use lanarky

  • Avoid Lanarky for new projects due to its deprecated status, which implies lack of ongoing support and updates.
  • Do not use if you require a framework that is actively maintained and updated to support the latest LLM technologies.
GitHubDetails

Choose ollama if…

  • ollama is primarily Go; lanarky is Python.
  • Tags unique to ollama: deepseek, gemma, glm, go.
  • ollama ships Docker support for self-hosted deployment.
  • When you need a framework that supports a wide range of large language models, including Qwen and Gemma, and you prefer using Go for development.

When NOT to use ollama

  • If your project is heavily reliant on Python or another language and you prefer not to introduce Go into your tech stack.
  • When you need a framework that is tightly integrated with a specific model or ecosystem that Ollama does not support, such as models that are only available through a different framework or language.
GitHubDetails

Explore

lanarky 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: lanarky 990 · ollama 181k (synced Sep 20, 2026).

Common questions

What is the difference between lanarky and ollama?
lanarky: A deprecated web framework for building LLM microservices. ollama: Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.. See the comparison table for live GitHub stats and shared categories.
When should I choose lanarky over ollama?
Choose lanarky over ollama when lanarky is primarily Python; ollama is Go; Pricing: The library is free to use, but as it is deprecated, there is no paid support or updates available.; Requirements: Min 1 GB RAM; Lanarky requires Python and can be installed via pip.; Tags unique to lanarky: deprecated-repo, fastapi, llmops, microservices; Use Lanarky if you are working on legacy projects that already depend on it and need to maintain compatibility.
When should I choose ollama over lanarky?
Choose ollama over lanarky when ollama is primarily Go; lanarky is Python; Tags unique to ollama: deepseek, gemma, glm, go; ollama ships Docker support for self-hosted deployment; When you need a framework that supports a wide range of large language models, including Qwen and Gemma, and you prefer using Go for development.
When should I avoid lanarky?
Avoid Lanarky for new projects due to its deprecated status, which implies lack of ongoing support and updates. Do not use if you require a framework that is actively maintained and updated to support the latest LLM technologies.
When should I avoid ollama?
If your project is heavily reliant on Python or another language and you prefer not to introduce Go into your tech stack. When you need a framework that is tightly integrated with a specific model or ecosystem that Ollama does not support, such as models that are only available through a different framework or language.
Is lanarky or ollama more popular on GitHub?
ollama has more GitHub stars (181,196 vs 990). Stars measure visibility, not whether either tool fits your constraints.
Are lanarky and ollama open source?
Yes - both are open-source projects on GitHub (lanarky: MIT, ollama: MIT).
Where can I find alternatives to lanarky or ollama?
GraphCanon lists graph-backed alternatives at lanarky alternatives and ollama alternatives (lanarky 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, lanarky or ollama?
lanarky: Archived. 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 lanarky and ollama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lanarky trust report; ollama trust report.

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