Home/Compare/atlas vs litellm

Comparison

atlas vs litellm

Verdict

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

Markdown twin · atlas alternatives · litellm alternatives

GraphCanon updated today

atlas logo

atlas

Avarok-Cybersecurity/atlas

588pushed Jul 10, 2026
vs
litellm logo

litellm

BerriAI/litellm

53kpushed Jul 11, 2026

Trust & integrity

Signalatlaslitellm
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 · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
2 low (2 low)
As of 1d · osv@v1

Tagline

atlas
Pure Rust Inference Engine
litellm
Python SDK and Proxy Server for calling multiple LLM APIs

Stars

atlas
588
litellm
53k

Forks

atlas
83
litellm
9.7k

Open issues

atlas
61
litellm
3.9k

Language

atlas
Rust
litellm
Python

Adopt for

atlas
-
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

atlas
-
litellm
-

Runtime

atlas
-
litellm
-

License

atlas
AGPL-3.0
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

atlas
Jul 10, 2026
litellm
Jul 11, 2026

Categories

atlas
Inference & Serving, LLM Frameworks, Model Training
litellm
Inference & Serving, LLM Frameworks

Trust and health

Open issues (now)

atlas
61
litellm
3.9k

Security scan

atlas
No lockfile
litellm
2 low (2 low)

Full report

Choose atlas if…

  • atlas is primarily Rust; litellm is Python.
  • License: atlas is AGPL-3.0, litellm is Other.
  • Tags unique to atlas: cuda, dgx, dgx-spark, gb10.
  • Also covers Model Training.

When NOT to use atlas

  • 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.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Choose litellm if…

  • litellm is primarily Python; atlas is Rust.
  • License: litellm is Other, atlas is AGPL-3.0.
  • 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.

Explore

Sources

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

GitHub stars on cards: atlas 588 · litellm 53k (synced Jul 11, 2026).

Common questions

What is the difference between atlas and litellm?
atlas: Pure Rust Inference Engine. 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 atlas over litellm?
Choose atlas over litellm when atlas is primarily Rust; litellm is Python; License: atlas is AGPL-3.0, litellm is Other; Tags unique to atlas: cuda, dgx, dgx-spark, gb10; Also covers Model Training.
When should I choose litellm over atlas?
Choose litellm over atlas when litellm is primarily Python; atlas is Rust; License: litellm is Other, atlas is AGPL-3.0; 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 avoid atlas?
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. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
When should I avoid litellm?
If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.
Is atlas or litellm more popular on GitHub?
litellm has more GitHub stars (53,271 vs 588). Stars measure visibility, not whether either tool fits your constraints.
Are atlas and litellm open source?
Yes - both are open-source projects on GitHub (atlas: AGPL-3.0, litellm: Other).
Where can I find alternatives to atlas or litellm?
GraphCanon lists graph-backed alternatives at atlas alternatives and litellm alternatives (atlas 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, atlas or litellm?
atlas: Very active. 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 atlas and litellm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: atlas trust report; litellm trust report.