Comparison
lanarky vs ollama
Verdict
Pick lanarky if lanarky, a deprecated Python-based framework for building LLM microservices with FastAPI, offers streamlined development but comes with caveats related to its deprecated status; 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, Gemma using docker images, package managers, cloud and.
Markdown twin · lanarky alternatives · ollama alternatives
GraphCanon updated today
Trust & integrity
| Signal | lanarky | ollama |
|---|---|---|
| Maintenance | Dormant (775d since push) As of today · github_public_v1 | Very active (1d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Published findings As of 1w · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | No public record from this source As of 2w · openssf-scorecard@v1 |
Tagline
- lanarky
- A web framework for building LLM microservices (deprecated)
- ollama
- Get up and running with various large language models using Ollama.
Stars
- lanarky
- 990
- ollama
- 178k
Forks
- lanarky
- 76
- ollama
- 17k
Open issues
- lanarky
- 10
- ollama
- 3.6k
Language
- lanarky
- Python
- ollama
- Go
Adopt for
- lanarky
- Lanarky, a deprecated Python-based framework for building LLM microservices with FastAPI, offers streamlined development but comes with caveats related to its deprecated status.
- 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
- lanarky
- -
- ollama
- -
Runtime
- lanarky
- -
- ollama
- -
License
- lanarky
- Lanarky is released under the MIT License, allowing free usage, modification, and distribution but with no warranty.
- ollama
- MIT license - permissive open-source licensing that allows for broad use of the tool.
Last pushed
- lanarky
- Jul 6, 2024
- ollama
- Jul 31, 2026
Categories
- lanarky
- Inference & Serving, LLM Frameworks
- ollama
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- lanarky
- Dormant (18%)
- ollama
- Very active (96%)
Days since push
- lanarky
- 775d
- ollama
- 1d
Open issues (now)
- lanarky
- 10
- ollama
- 3.6k
Stars delta
- lanarky
- -2 (30d)
- ollama
- Unknown
Open issues delta
- lanarky
- +1 (30d)
- ollama
- Unknown
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 itself is free to use due to its open-source licensing. However, any associated services like OpenAI's `ChatCompletion` may incur costs depending on the service provider’s pricing..
- Requirements: Min 1 GB RAM; Ensure you have Python and Pip installed to utilize Lanarky.; No Docker installation is required; it works with standard Python environments..
- Tags unique to lanarky: fastapi, llmops, microservices, python3.
- - Use if your project requires specific historical compatibility or knowledge of how Lanarky operated in the past.
When NOT to use lanarky
- - Avoid new deployments that rely on active maintenance and updates; opt for actively maintained alternatives like FastAPI directly without Lanarky's now-deprecated layer.
- - Do not use if your application needs modern security patches or features, as the deprecated status signifies no further development or support.
Choose ollama if…
- ollama is primarily Go; lanarky is Python.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ajndkr/lanarky) · observed Aug 21, 2026
- GitHub forks (ajndkr/lanarky) · observed Aug 21, 2026
- Last push (ajndkr/lanarky) · observed Jul 6, 2024
- License file (MIT) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ollama/ollama) · observed Aug 2, 2026
- GitHub forks (ollama/ollama) · observed Aug 2, 2026
- Last push (ollama/ollama) · observed Jul 31, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lanarky 990 · ollama 178k (synced Aug 21, 2026).
Common questions
- What is the difference between lanarky and ollama?
- lanarky: A web framework for building LLM microservices (deprecated). 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 lanarky over ollama?
- Choose lanarky over ollama when lanarky is primarily Python; ollama is Go; Pricing: The library itself is free to use due to its open-source licensing. However, any associated services like OpenAI's
ChatCompletionmay incur costs depending on the service provider’s pricing.; Requirements: Min 1 GB RAM; Ensure you have Python and Pip installed to utilize Lanarky.; No Docker installation is required; it works with standard Python environments.; Tags unique to lanarky: fastapi, llmops, microservices, python3; - Use if your project requires specific historical compatibility or knowledge of how Lanarky operated in the past. - When should I choose ollama over lanarky?
- Choose ollama over lanarky when ollama is primarily Go; lanarky is Python; 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 lanarky?
- - Avoid new deployments that rely on active maintenance and updates; opt for actively maintained alternatives like FastAPI directly without Lanarky's now-deprecated layer. - Do not use if your application needs modern security patches or features, as the deprecated status signifies no further development or support.
- 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 lanarky or ollama more popular on GitHub?
- ollama has more GitHub stars (177,524 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: Dormant. 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.