Comparison
open-webui vs deep-research
Verdict
Pick open-webui when open-webui is primarily Python; deep-research is JavaScript; pick deep-research when deep-research is primarily JavaScript; open-webui is Python.
Markdown twin · open-webui alternatives · deep-research alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | open-webui | deep-research |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Active (26d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · 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
- open-webui
- User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
- deep-research
- Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
Stars
- open-webui
- 145k
- deep-research
- 4.6k
Forks
- open-webui
- 21k
- deep-research
- 1.1k
Open issues
- open-webui
- 391
- deep-research
- 36
Language
- open-webui
- Python
- deep-research
- JavaScript
Adopt for
- open-webui
- Suitable for developers working with large language models who require a user-friendly interface and support for multiple APIs including Ollama and OpenAI.
- deep-research
- -
Persona
- open-webui
- -
- deep-research
- -
Runtime
- open-webui
- -
- deep-research
- -
License
- open-webui
- Other
- deep-research
- MIT
Last pushed
- open-webui
- Jul 10, 2026
- deep-research
- Jun 18, 2026
Categories
- open-webui
- Inference & Serving, LLM Frameworks
- deep-research
- Inference & Serving, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- open-webui
- Very active (96%)
- deep-research
- Active (82%)
Days since push
- open-webui
- 0d
- deep-research
- 26d
Open issues (now)
- open-webui
- 391
- deep-research
- 36
Full report
- open-webui
- Trust report
- deep-research
- Trust report
Choose open-webui if…
- open-webui is primarily Python; deep-research is JavaScript.
- License: open-webui is Other, deep-research is MIT.
- Tags unique to open-webui: ai, llm, openai, self-hosted.
- When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface.
When NOT to use open-webui
- When looking for tooling that exclusively supports APIs other than Ollama and OpenAI, as these are specific areas of focus for open-webui.
- If the requirement is a highly specialized interface tailored to specific tasks rather than a general AI interaction platform.
Choose deep-research if…
- deep-research is primarily JavaScript; open-webui is Python.
- License: deep-research is MIT, open-webui is Other.
- Tags unique to deep-research: anthropic, deep-research, deep-research-api, deepresearch.
- Also covers Vector Databases.
- deep-research ships Docker support for self-hosted deployment.
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 (open-webui/open-webui) · observed Jul 11, 2026
- GitHub forks (open-webui/open-webui) · observed Jul 11, 2026
- Last push (open-webui/open-webui) · observed Jul 10, 2026
- License file (Other) · 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: open-webui 145k · deep-research 4.6k (synced Jul 11, 2026).
Common questions
- What is the difference between open-webui and deep-research?
- open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...). 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 open-webui over deep-research?
- Choose open-webui over deep-research when open-webui is primarily Python; deep-research is JavaScript; License: open-webui is Other, deep-research is MIT; Tags unique to open-webui: ai, llm, openai, self-hosted; When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface.
- When should I choose deep-research over open-webui?
- Choose deep-research over open-webui when deep-research is primarily JavaScript; open-webui is Python; License: deep-research is MIT, open-webui is Other; Tags unique to deep-research: anthropic, deep-research, deep-research-api, deepresearch; Also covers Vector Databases; deep-research ships Docker support for self-hosted deployment.
- When should I avoid open-webui?
- When looking for tooling that exclusively supports APIs other than Ollama and OpenAI, as these are specific areas of focus for open-webui. If the requirement is a highly specialized interface tailored to specific tasks rather than a general AI interaction 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 open-webui or deep-research more popular on GitHub?
- open-webui has more GitHub stars (145,029 vs 4,632). Stars measure visibility, not whether either tool fits your constraints.
- Are open-webui and deep-research open source?
- Yes - both are open-source projects on GitHub (open-webui: Other, deep-research: MIT).
- Where can I find alternatives to open-webui or deep-research?
- GraphCanon lists graph-backed alternatives at open-webui alternatives and deep-research alternatives (open-webui 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, open-webui or deep-research?
- open-webui: 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 open-webui and deep-research?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: open-webui trust report; deep-research trust report.