--- title: "litellm vs LLM.swift" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/berriai-litellm-vs-eastriverlee-llm-swift" tools: ["berriai-litellm", "eastriverlee-llm-swift"] --- # litellm vs LLM.swift *GraphCanon updated Jul 11, 2026* ## Verdict Pick litellm when litellm is primarily Python; LLM.swift is C++; pick LLM.swift when lLM.swift is primarily C++; litellm is Python. [litellm](https://docs.litellm.ai/docs/) reports 53k GitHub stars, 9.7k forks, and 3.9k open issues, last pushed Jul 11, 2026. [LLM.swift](https://github.com/eastriverlee/LLM.swift) has 863 stars, 121 forks, and 16 open issues, last pushed Jul 4, 2026. Figures are from public GitHub metadata via [litellm's repository](https://github.com/BerriAI/litellm) and [LLM.swift's repository](https://github.com/eastriverlee/LLM.swift). | | [litellm](/tools/berriai-litellm.md) | [LLM.swift](/tools/eastriverlee-llm-swift.md) | | --- | --- | --- | | Tagline | Python SDK and Proxy Server for calling multiple LLM APIs | LLM.swift is a simple and readable library that allows you to interact with large language models locally with ease for macOS, iOS, watchOS, tvOS, and visionOS. | | Stars | 53,271 | 863 | | Forks | 9,671 | 121 | | Open issues | 3,915 | 16 | | Language | Python | C++ | | 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 | 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. | MIT | | Categories | Inference & Serving, LLM Frameworks | Computer Vision, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [litellm](/tools/berriai-litellm.md) | [LLM.swift](/tools/eastriverlee-llm-swift.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 7d | | Open issues (now) | 3.9k | 16 | | Owner type | Organization | User | | Security scan | 2 low (2 low) | No lockfile | | Full report | [trust report](/tools/berriai-litellm/trust.md) | [trust report](/tools/eastriverlee-llm-swift/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 litellm if… - litellm is primarily Python; LLM.swift is C++. - License: litellm is Other, LLM.swift is MIT. - 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, openai. - 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 ### Choose LLM.swift if… - LLM.swift is primarily C++; litellm is Python. - License: LLM.swift is MIT, litellm is Other. - Tags unique to LLM.swift: gguf, ios, llm-inference, macos. - Also covers Computer Vision. ## When NOT to use litellm - If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill. ## When NOT to use LLM.swift - 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. ## Common questions ### What is the difference between litellm and LLM.swift? litellm: Python SDK and Proxy Server for calling multiple LLM APIs. LLM.swift: LLM.swift is a simple and readable library that allows you to interact with large language models locally with ease for macOS, iOS, watchOS, tvOS, and visionOS.. See the comparison table for live GitHub stats and shared categories. ### When should I choose litellm over LLM.swift? Choose litellm over LLM.swift when litellm is primarily Python; LLM.swift is C++; License: litellm is Other, LLM.swift is MIT; 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, openai; 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 LLM.swift over litellm? Choose LLM.swift over litellm when LLM.swift is primarily C++; litellm is Python; License: LLM.swift is MIT, litellm is Other; Tags unique to LLM.swift: gguf, ios, llm-inference, macos; Also covers Computer Vision. ### 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 LLM.swift? 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 LLM.swift more popular on GitHub? litellm has more GitHub stars (53,271 vs 863). Stars measure visibility, not whether either tool fits your constraints. ### Are litellm and LLM.swift open source? Yes - both are open-source projects on GitHub (litellm: Other, LLM.swift: MIT). ### Where can I find alternatives to litellm or LLM.swift? GraphCanon lists graph-backed alternatives at [litellm alternatives](/tools/berriai-litellm/alternatives) and [LLM.swift alternatives](/tools/eastriverlee-llm-swift/alternatives) ([litellm markdown twin](/tools/berriai-litellm/alternatives.md), [LLM.swift markdown twin](/tools/eastriverlee-llm-swift/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/berriai-litellm-vs-eastriverlee-llm-swift.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, litellm or LLM.swift? litellm: Very active. LLM.swift: 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 LLM.swift? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [litellm trust report](/tools/berriai-litellm/trust); [LLM.swift trust report](/tools/eastriverlee-llm-swift/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=berriai-litellm`](/api/graphcanon/graph?tool=berriai-litellm) - 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/_