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Comparison

litellm vs hipfire

Verdict

Pick litellm when litellm is primarily Python; hipfire is Rust; pick hipfire when hipfire is primarily Rust; litellm is Python.

Markdown twin · litellm alternatives · hipfire alternatives

GraphCanon updated today

litellm logo

litellm

BerriAI/litellm

★ 53kpushed Jul 11, 2026
vs
hipfire logo

hipfire

Kaden-Schutt/hipfire

★ 473pushed Jul 11, 2026

Trust & integrity

Signallitellmhipfire
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d 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)
2 low (2 low)
As of 1d · osv@v1
No lockfile
As of today · none
litellm trust reporthipfire trust reportTrust methodology

Tagline

litellm
Python SDK and Proxy Server for calling multiple LLM APIs
hipfire
RDNA-native LLM inference engine in Rust.

Stars

litellm
53k
hipfire
473

Forks

litellm
9.7k
hipfire
48

Open issues

litellm
3.9k
hipfire
86

Language

litellm
Python
hipfire
Rust

Adopt for

litellm
litellm is a Python SDK and Proxy Server that facilitates the interaction with over 100 LLM APIs, offering features such as cost tracking, guardrails, load balancing, and logging.
hipfire
-

Persona

litellm
-
hipfire
-

Runtime

litellm
-
hipfire
-

License

litellm
The licensing terms for LiteLLM are provided under a license type categorized as 'Other'; details of the exact license should be referenced directly from its source.
hipfire
Other

Last pushed

litellm
Jul 11, 2026
hipfire
Jul 11, 2026

Categories

litellm
Inference & Serving, LLM Frameworks
hipfire
Inference & Serving, LLM Frameworks

Trust and health

Open issues (now)

litellm
3.9k
hipfire
86

Owner type

litellm
Organization
hipfire
User

Security scan

litellm
2 low (2 low)
hipfire
No lockfile

Full report

litellm
Trust report
hipfire
Trust report

Choose litellm if…

  • litellm is primarily Python; hipfire is Rust.
  • Pricing: While the core functionality is provided free, specific extended features might require a paid plan..
  • Requirements: Requires Docker.
  • Tags unique to litellm: ai-gateway, azure-openai, bedrock, llm.
  • litellm ships Docker support for self-hosted deployment.
  • When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging

When NOT to use litellm

  • If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.
GitHubDetails

Choose hipfire if…

  • hipfire is primarily Rust; litellm is Python.
  • Tags unique to hipfire: amd-gpu, gpu-computing, hip, llm-inference.
  • Leaner open-issue backlog (86).

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

Explore

litellm trust report →hipfire 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: litellm 53k · hipfire 473 (synced Jul 11, 2026).

Common questions

What is the difference between litellm and hipfire?
litellm: Python SDK and Proxy Server for calling multiple LLM APIs. hipfire: RDNA-native LLM inference engine in Rust.. See the comparison table for live GitHub stats and shared categories.
When should I choose litellm over hipfire?
Choose litellm over hipfire when litellm is primarily Python; hipfire is Rust; Pricing: While the core functionality is provided free, specific extended features might require a paid plan.; Requirements: Requires Docker; Tags unique to litellm: ai-gateway, azure-openai, bedrock, llm; litellm ships Docker support for self-hosted deployment; When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging.
When should I choose hipfire over litellm?
Choose hipfire over litellm when hipfire is primarily Rust; litellm is Python; Tags unique to hipfire: amd-gpu, gpu-computing, hip, llm-inference; Leaner open-issue backlog (86).
When should I avoid litellm?
If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.
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.
Is litellm or hipfire more popular on GitHub?
litellm has more GitHub stars (53,271 vs 473). Stars measure visibility, not whether either tool fits your constraints.
Are litellm and hipfire open source?
Yes - both are open-source projects on GitHub (litellm: Other, hipfire: Other).
Where can I find alternatives to litellm or hipfire?
GraphCanon lists graph-backed alternatives at litellm alternatives and hipfire alternatives (litellm markdown twin, hipfire 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, litellm or hipfire?
litellm: Very active. hipfire: 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 litellm and hipfire?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; hipfire trust report.