Comparison
ollama vs deep-research
Verdict
Pick ollama when ollama is primarily Go; deep-research is JavaScript; pick deep-research when deep-research is primarily JavaScript; ollama is Go.
Markdown twin · ollama alternatives · deep-research alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | ollama | deep-research |
|---|---|---|
| Maintenance | Very active (1d since push) As of 3d · github_public_v1 | Active (26d 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.
- deep-research
- Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
Stars
- ollama
- 176k
- deep-research
- 4.6k
Forks
- ollama
- 17k
- deep-research
- 1.1k
Open issues
- ollama
- 3.4k
- deep-research
- 36
Language
- ollama
- Go
- deep-research
- JavaScript
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
- deep-research
- -
Persona
- ollama
- -
- deep-research
- -
Runtime
- ollama
- -
- deep-research
- -
License
- ollama
- MIT license - permissive open-source licensing that allows for broad use of the tool.
- deep-research
- MIT
Last pushed
- ollama
- Jul 10, 2026
- deep-research
- Jun 18, 2026
Categories
- ollama
- Inference & Serving, LLM Frameworks
- deep-research
- Inference & Serving, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- ollama
- Very active (96%)
- deep-research
- Active (82%)
Days since push
- ollama
- 1d
- deep-research
- 26d
Open issues (now)
- ollama
- 3.4k
- deep-research
- 36
OSV dependency advisories
- ollama
- Published findings
- deep-research
- No lockfile (source not queried)
Full report
- ollama
- Trust report
- deep-research
- Trust report
Choose ollama if…
- ollama is primarily Go; deep-research is JavaScript.
- Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers.
- Tags unique to ollama: gemma, glm, go, llama.
- 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 deep-research if…
- deep-research is primarily JavaScript; ollama is Go.
- Tags unique to deep-research: anthropic, deep-research, deep-research-api, deepresearch.
- Also covers Vector Databases.
When NOT to use deep-research
- 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.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
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 (u14app/deep-research) · observed Jul 15, 2026
- GitHub forks (u14app/deep-research) · observed Jul 15, 2026
- Last push (u14app/deep-research) · observed Jun 18, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: ollama 176k · deep-research 4.6k (synced Jul 11, 2026).
Common questions
- What is the difference between ollama and deep-research?
- ollama: Get up and running with various large language models using Ollama.. deep-research: Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ollama over deep-research?
- Choose ollama over deep-research when ollama is primarily Go; deep-research is JavaScript; Ollama supports self-hosted and cloud-deployable models using Docker, Helm charts, and various package managers; Tags unique to ollama: gemma, glm, go, llama; 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 deep-research over ollama?
- Choose deep-research over ollama when deep-research is primarily JavaScript; ollama is Go; Tags unique to deep-research: anthropic, deep-research, deep-research-api, deepresearch; 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 deep-research?
- 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is ollama or deep-research more popular on GitHub?
- ollama has more GitHub stars (175,936 vs 4,632). Stars measure visibility, not whether either tool fits your constraints.
- Are ollama and deep-research open source?
- Yes - both are open-source projects on GitHub (ollama: MIT, deep-research: MIT).
- Where can I find alternatives to ollama or deep-research?
- GraphCanon lists graph-backed alternatives at ollama alternatives and deep-research alternatives (ollama markdown twin, deep-research 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 deep-research?
- ollama: Very active. deep-research: 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 deep-research?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ollama trust report; deep-research trust report.