Home/Compare/yalm vs litellm

Comparison

yalm vs litellm

Verdict

Pick yalm when yalm is primarily C++; litellm is Python; pick litellm when litellm is primarily Python; yalm is C++.

Markdown twin · yalm alternatives · litellm alternatives

GraphCanon updated today

yalm logo

yalm

andrewkchan/yalm

591pushed Sep 13, 2025
vs
litellm logo

litellm

BerriAI/litellm

53kpushed Jul 11, 2026

Trust & integrity

Signalyalmlitellm
Maintenance
Slowing (301d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
2 low (2 low)
As of today · osv@v1

Tagline

yalm
Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
litellm
Python SDK and Proxy Server for calling multiple LLM APIs

Stars

yalm
591
litellm
53k

Forks

yalm
64
litellm
9.7k

Open issues

yalm
4
litellm
3.9k

Language

yalm
C++
litellm
Python

Adopt for

yalm
-
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.

Persona

yalm
-
litellm
-

Runtime

yalm
-
litellm
-

License

yalm
-
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.

Last pushed

yalm
Sep 13, 2025
litellm
Jul 11, 2026

Categories

yalm
LLM Frameworks, Inference & Serving
litellm
LLM Frameworks, Inference & Serving

Trust and health

Maintenance

yalm
Slowing (36%)
litellm
Very active (96%)

Days since push

yalm
301d
litellm
0d

Open issues (now)

yalm
4
litellm
3.9k

Owner type

yalm
User
litellm
Organization

Security scan

yalm
No lockfile
litellm
2 low (2 low)

Full report

Choose yalm if…

  • yalm is primarily C++; litellm is Python.
  • Tags unique to yalm: llama, machine-learning, cpp, cuda.
  • Leaner open-issue backlog (4).

When NOT to use yalm

  • Last GitHub push was 301 days ago (slowing maintenance, Sep 13, 2025). Validate activity before betting a new project on yalm.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose litellm if…

  • litellm is primarily Python; yalm is C++.
  • Pricing: While the core functionality is provided free, specific extended features might require a paid plan..
  • Requirements: Requires Docker.
  • Tags unique to litellm: bedrock, ai-gateway, openai, vertex-ai.
  • 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.

Explore

Sources

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

GitHub stars on cards: yalm 591 · litellm 53k (synced Jul 11, 2026).

Common questions

What is the difference between yalm and litellm?
yalm: Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O. litellm: Python SDK and Proxy Server for calling multiple LLM APIs. See the comparison table for live GitHub stats and shared categories.
When should I choose yalm over litellm?
Choose yalm over litellm when yalm is primarily C++; litellm is Python; Tags unique to yalm: llama, machine-learning, cpp, cuda; Leaner open-issue backlog (4).
When should I choose litellm over yalm?
Choose litellm over yalm when litellm is primarily Python; yalm is C++; Pricing: While the core functionality is provided free, specific extended features might require a paid plan.; Requirements: Requires Docker; Tags unique to litellm: bedrock, ai-gateway, openai, vertex-ai; 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 avoid yalm?
Last GitHub push was 301 days ago (slowing maintenance, Sep 13, 2025). Validate activity before betting a new project on yalm. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid litellm?
If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.
Is yalm or litellm more popular on GitHub?
litellm has more GitHub stars (53,271 vs 591). Stars measure visibility, not whether either tool fits your constraints.
Are yalm and litellm open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to yalm or litellm?
GraphCanon lists graph-backed alternatives at yalm alternatives and litellm alternatives (yalm markdown twin, litellm 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, yalm or litellm?
yalm: Slowing. litellm: 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 yalm and litellm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: yalm trust report; litellm trust report.