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Comparison

hipfire vs open-webui

Verdict

Pick hipfire when hipfire is primarily Rust; open-webui is Python; pick open-webui when open-webui is primarily Python; hipfire is Rust.

Markdown twin · hipfire alternatives · open-webui alternatives

GraphCanon updated 1d

hipfire logo

hipfire

Kaden-Schutt/hipfire

★ 473pushed Jul 11, 2026
vs
open-webui logo

open-webui

open-webui/open-webui

★ 145kpushed Jul 10, 2026

Trust & integrity

Signalhipfireopen-webui
Maintenance
Very active (0d since push)
As of 1d · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of 1d · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No MCP manifest
As of 1d · mcp_manifest
hipfire trust reportopen-webui trust reportTrust methodology

Tagline

hipfire
RDNA-native LLM inference engine in Rust.
open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Stars

hipfire
473
open-webui
145k

Forks

hipfire
48
open-webui
21k

Open issues

hipfire
86
open-webui
391

Language

hipfire
Rust
open-webui
Python

Adopt for

hipfire
-
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.

Persona

hipfire
-
open-webui
-

Runtime

hipfire
-
open-webui
-

License

hipfire
Other
open-webui
Other

Last pushed

hipfire
Jul 11, 2026
open-webui
Jul 10, 2026

Categories

hipfire
Inference & Serving, LLM Frameworks
open-webui
Inference & Serving, LLM Frameworks

Trust and health

Open issues (now)

hipfire
86
open-webui
391

Owner type

hipfire
User
open-webui
Organization

Security scan

hipfire
No lockfile
open-webui
No MCP manifest

Full report

hipfire
Trust report
open-webui
Trust report

Choose hipfire if…

  • hipfire is primarily Rust; open-webui is Python.
  • Tags unique to hipfire: amd-gpu, gpu-computing, hip, llm-inference.
  • More recently updated (last pushed Jul 11, 2026).

When NOT to use hipfire

  • 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.
GitHubDetails

Choose open-webui if…

  • open-webui is primarily Python; hipfire is Rust.
  • 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.
GitHubDetails

Explore

hipfire trust report →open-webui trust report →Inference & Serving category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: hipfire 473 · open-webui 145k (synced Jul 11, 2026).

Common questions

What is the difference between hipfire and open-webui?
hipfire: RDNA-native LLM inference engine in Rust.. open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...). See the comparison table for live GitHub stats and shared categories.
When should I choose hipfire over open-webui?
Choose hipfire over open-webui when hipfire is primarily Rust; open-webui is Python; Tags unique to hipfire: amd-gpu, gpu-computing, hip, llm-inference; More recently updated (last pushed Jul 11, 2026).
When should I choose open-webui over hipfire?
Choose open-webui over hipfire when open-webui is primarily Python; hipfire is Rust; 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 avoid hipfire?
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.
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.
Is hipfire or open-webui more popular on GitHub?
open-webui has more GitHub stars (145,029 vs 473). Stars measure visibility, not whether either tool fits your constraints.
Are hipfire and open-webui open source?
Yes - both are open-source projects on GitHub (hipfire: Other, open-webui: Other).
Where can I find alternatives to hipfire or open-webui?
GraphCanon lists graph-backed alternatives at hipfire alternatives and open-webui alternatives (hipfire markdown twin, open-webui 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, hipfire or open-webui?
hipfire: Very active. open-webui: 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 hipfire and open-webui?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hipfire trust report; open-webui trust report.