Comparison
ollama vs llm-apps-java-spring-ai
Verdict
Pick ollama when ollama is primarily Go; llm-apps-java-spring-ai is Java; pick llm-apps-java-spring-ai when llm-apps-java-spring-ai is primarily Java; ollama is Go.
Markdown twin · ollama alternatives · llm-apps-java-spring-ai alternatives
GraphCanon updated today
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Trust & integrity
| Signal | ollama | llm-apps-java-spring-ai |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Very active (3d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | 52 low (52 low) As of today · osv@v1 | No lockfile As of today · none |
Tagline
- ollama
- Get up and running with various large language models using Ollama.
- llm-apps-java-spring-ai
- Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
Stars
- ollama
- 176k
- llm-apps-java-spring-ai
- 758
Forks
- ollama
- 17k
- llm-apps-java-spring-ai
- 182
Open issues
- ollama
- 3.4k
- llm-apps-java-spring-ai
- 5
Language
- ollama
- Go
- llm-apps-java-spring-ai
- Java
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
- llm-apps-java-spring-ai
- -
Persona
- ollama
- -
- llm-apps-java-spring-ai
- -
Runtime
- ollama
- -
- llm-apps-java-spring-ai
- -
License
- ollama
- MIT license - permissive open-source licensing that allows for broad use of the tool.
- llm-apps-java-spring-ai
- Apache-2.0
Last pushed
- ollama
- Jul 10, 2026
- llm-apps-java-spring-ai
- Jul 8, 2026
Categories
- ollama
- LLM Frameworks, Inference & Serving
- llm-apps-java-spring-ai
- LLM Frameworks, Vector Databases, Inference & Serving
Trust and health
Days since push
- ollama
- 1d
- llm-apps-java-spring-ai
- 3d
Open issues (now)
- ollama
- 3.4k
- llm-apps-java-spring-ai
- 5
Owner type
- ollama
- Organization
- llm-apps-java-spring-ai
- User
Security scan
- ollama
- 52 low (52 low)
- llm-apps-java-spring-ai
- No lockfile
Full report
- ollama
- Trust report
- llm-apps-java-spring-ai
- Trust report
Choose ollama if…
- ollama is primarily Go; llm-apps-java-spring-ai is Java.
- License: ollama is MIT, llm-apps-java-spring-ai is Apache-2.0.
- Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
- Tags unique to ollama: go, llms, llama, mistral.
- 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 llm-apps-java-spring-ai if…
- llm-apps-java-spring-ai is primarily Java; ollama is Go.
- License: llm-apps-java-spring-ai is Apache-2.0, ollama is MIT.
- Tags unique to llm-apps-java-spring-ai: embeddings, spring-ai, llm, large-language-models.
- Also covers Vector Databases.
When NOT to use llm-apps-java-spring-ai
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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 (ThomasVitale/llm-apps-java-spring-ai) · observed Jul 11, 2026
- GitHub forks (ThomasVitale/llm-apps-java-spring-ai) · observed Jul 11, 2026
- Last push (ThomasVitale/llm-apps-java-spring-ai) · observed Jul 8, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ollama 176k · llm-apps-java-spring-ai 758 (synced Jul 11, 2026).
Common questions
- What is the difference between ollama and llm-apps-java-spring-ai?
- ollama: Get up and running with various large language models using Ollama.. llm-apps-java-spring-ai: Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ollama over llm-apps-java-spring-ai?
- Choose ollama over llm-apps-java-spring-ai when ollama is primarily Go; llm-apps-java-spring-ai is Java; License: ollama is MIT, llm-apps-java-spring-ai is Apache-2.0; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Tags unique to ollama: go, llms, llama, mistral; 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 llm-apps-java-spring-ai over ollama?
- Choose llm-apps-java-spring-ai over ollama when llm-apps-java-spring-ai is primarily Java; ollama is Go; License: llm-apps-java-spring-ai is Apache-2.0, ollama is MIT; Tags unique to llm-apps-java-spring-ai: embeddings, spring-ai, llm, large-language-models; Also covers Vector Databases.
- 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 llm-apps-java-spring-ai?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is ollama or llm-apps-java-spring-ai more popular on GitHub?
- ollama has more GitHub stars (175,936 vs 758). Stars measure visibility, not whether either tool fits your constraints.
- Are ollama and llm-apps-java-spring-ai open source?
- Yes - both are open-source projects on GitHub (ollama: MIT, llm-apps-java-spring-ai: Apache-2.0).
- Where can I find alternatives to ollama or llm-apps-java-spring-ai?
- GraphCanon lists graph-backed alternatives at ollama alternatives and llm-apps-java-spring-ai alternatives (ollama markdown twin, llm-apps-java-spring-ai 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 llm-apps-java-spring-ai?
- ollama: Very active. llm-apps-java-spring-ai: 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 ollama and llm-apps-java-spring-ai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ollama trust report; llm-apps-java-spring-ai trust report.