--- title: "atlas vs litellm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/avarok-cybersecurity-atlas-vs-berriai-litellm" tools: ["avarok-cybersecurity-atlas", "berriai-litellm"] --- # atlas vs litellm *GraphCanon updated Jul 11, 2026* ## Verdict Pick atlas when atlas is primarily Rust; litellm is Python; pick litellm when litellm is primarily Python; atlas is Rust. [atlas](https://atlasinference.io) reports 588 GitHub stars, 83 forks, and 61 open issues, last pushed Jul 10, 2026. [litellm](https://docs.litellm.ai/docs/) has 53k stars, 9.7k forks, and 3.9k open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [atlas's repository](https://github.com/Avarok-Cybersecurity/atlas) and [litellm's repository](https://github.com/BerriAI/litellm). | | [atlas](/tools/avarok-cybersecurity-atlas.md) | [litellm](/tools/berriai-litellm.md) | | --- | --- | --- | | Tagline | Pure Rust Inference Engine | Python SDK and Proxy Server for calling multiple LLM APIs | | Stars | 588 | 53,271 | | Forks | 83 | 9,671 | | Open issues | 61 | 3,915 | | Language | Rust | Python | | Adopt for | - | 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 | - | - | | Runtime | - | - | | License | AGPL-3.0 | 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. | | Categories | Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [atlas](/tools/avarok-cybersecurity-atlas.md) | [litellm](/tools/berriai-litellm.md) | | --- | --- | --- | | Open issues (now) | 61 | 3.9k | | Security scan | No lockfile | 2 low (2 low) | | Full report | [trust report](/tools/avarok-cybersecurity-atlas/trust.md) | [trust report](/tools/berriai-litellm/trust.md) | ## Decision facts: litellm - **Pricing:** freemium - While the core functionality is provided free, specific extended features might require a paid plan. - **Requirements:** Requires Docker - **Adopt for:** 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. - **License detail:** 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. ## Choose when ### 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. ### 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 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 NOT to use litellm - If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill. ## 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](/tools/avarok-cybersecurity-atlas/alternatives) and [litellm alternatives](/tools/berriai-litellm/alternatives) ([atlas markdown twin](/tools/avarok-cybersecurity-atlas/alternatives.md), [litellm markdown twin](/tools/berriai-litellm/alternatives.md)), 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](/compare/avarok-cybersecurity-atlas-vs-berriai-litellm.md) 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](/tools/avarok-cybersecurity-atlas/trust); [litellm trust report](/tools/berriai-litellm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=avarok-cybersecurity-atlas`](/api/graphcanon/graph?tool=avarok-cybersecurity-atlas) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_