Comparison
ollama vs openyak
Verdict
Pick ollama when ollama is primarily Go; openyak is Python; pick openyak when openyak is primarily Python; ollama is Go.
Markdown twin · ollama alternatives · openyak alternatives
GraphCanon updated today
Trust & integrity
| Signal | ollama | openyak |
|---|---|---|
| Maintenance | Very active (1d since push) As of 3d · github_public_v1 | Steady (44d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | Published findings As of 3d · osv@v1 | No lockfile (source not queried) As of today · 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
- ollama
- Get up and running with various large language models using Ollama.
- openyak
- Open-source local-first AI agent for desktop work. No account, no telemetry: use local models with Ollama/Rapid-MLX or bring your own provider key.
Stars
- ollama
- 176k
- openyak
- 703
Forks
- ollama
- 17k
- openyak
- 58
Open issues
- ollama
- 3.4k
- openyak
- 25
Language
- ollama
- Go
- openyak
- Python
Adopt for
- 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
- openyak
- -
Persona
- ollama
- -
- openyak
- -
Runtime
- ollama
- -
- openyak
- -
License
- ollama
- MIT license - permissive open-source licensing that allows for broad use of the tool.
- openyak
- Apache-2.0
Last pushed
- ollama
- Jul 10, 2026
- openyak
- Jun 1, 2026
Categories
- ollama
- Inference & Serving, LLM Frameworks
- openyak
- AI Agents, Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- ollama
- Very active (96%)
- openyak
- Steady (60%)
Days since push
- ollama
- 1d
- openyak
- 44d
Open issues (now)
- ollama
- 3.4k
- openyak
- 25
OSV dependency advisories
- ollama
- Published findings
- openyak
- No lockfile (source not queried)
Full report
- ollama
- Trust report
- openyak
- Trust report
Choose ollama if…
- ollama is primarily Go; openyak is Python.
- License: ollama is MIT, openyak 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.
- 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.
Choose openyak if…
- openyak is primarily Python; ollama is Go.
- License: openyak is Apache-2.0, ollama is MIT.
- Tags unique to openyak: agent, agentic-ai, ai-agent, ai-coding-assistant.
- Also covers AI Agents.
When NOT to use openyak
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ollama/ollama) · observed Jul 11, 2026
- GitHub forks (ollama/ollama) · observed Jul 11, 2026
- Last push (ollama/ollama) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (openyak/openyak) · observed Jul 15, 2026
- GitHub forks (openyak/openyak) · observed Jul 15, 2026
- Last push (openyak/openyak) · observed Jun 1, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: ollama 176k · openyak 703 (synced Jul 11, 2026).
Common questions
- What is the difference between ollama and openyak?
- ollama: Get up and running with various large language models using Ollama.. openyak: Open-source local-first AI agent for desktop work. No account, no telemetry: use local models with Ollama/Rapid-MLX or bring your own provider key.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ollama over openyak?
- Choose ollama over openyak when ollama is primarily Go; openyak is Python; License: ollama is MIT, openyak 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; 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 choose openyak over ollama?
- Choose openyak over ollama when openyak is primarily Python; ollama is Go; License: openyak is Apache-2.0, ollama is MIT; Tags unique to openyak: agent, agentic-ai, ai-agent, ai-coding-assistant; Also covers AI Agents.
- 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.
- When should I avoid openyak?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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.
- Is ollama or openyak more popular on GitHub?
- ollama has more GitHub stars (175,936 vs 703). Stars measure visibility, not whether either tool fits your constraints.
- Are ollama and openyak open source?
- Yes - both are open-source projects on GitHub (ollama: MIT, openyak: Apache-2.0).
- Where can I find alternatives to ollama or openyak?
- GraphCanon lists graph-backed alternatives at ollama alternatives and openyak alternatives (ollama markdown twin, openyak 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, ollama or openyak?
- ollama: Very active. openyak: Steady. 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 ollama and openyak?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ollama trust report; openyak trust report.