--- title: "litellm vs mlx-swift-chat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/berriai-litellm-vs-preternatural-explore-mlx-swift-chat" tools: ["berriai-litellm", "preternatural-explore-mlx-swift-chat"] --- # litellm vs mlx-swift-chat *GraphCanon updated Jul 11, 2026* ## Verdict Pick litellm when litellm is primarily Python; mlx-swift-chat is Swift; pick mlx-swift-chat when mlx-swift-chat is primarily Swift; 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. [mlx-swift-chat](https://github.com/preternatural-explore/mlx-swift-chat) has 435 stars, 27 forks, and 9 open issues, last pushed Oct 27, 2024. Figures are from public GitHub metadata via [litellm's repository](https://github.com/BerriAI/litellm) and [mlx-swift-chat's repository](https://github.com/preternatural-explore/mlx-swift-chat). | | [litellm](/tools/berriai-litellm.md) | [mlx-swift-chat](/tools/preternatural-explore-mlx-swift-chat.md) | | --- | --- | --- | | Tagline | Python SDK and Proxy Server for calling multiple LLM APIs | A multi-platform SwiftUI frontend for running local LLMs with Apple's MLX framework. | | Stars | 53,271 | 435 | | Forks | 9,671 | 27 | | Open issues | 3,915 | 9 | | Language | Python | Swift | | 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 | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [litellm](/tools/berriai-litellm.md) | [mlx-swift-chat](/tools/preternatural-explore-mlx-swift-chat.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 622d | | Open issues (now) | 3.9k | 9 | | Security scan | 2 low (2 low) | No lockfile | | Full report | [trust report](/tools/berriai-litellm/trust.md) | [trust report](/tools/preternatural-explore-mlx-swift-chat/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; mlx-swift-chat is Swift. - License: litellm is Other, mlx-swift-chat 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, 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 ### Choose mlx-swift-chat if… - mlx-swift-chat is primarily Swift; litellm is Python. - License: mlx-swift-chat is MIT, litellm is Other. - Tags unique to mlx-swift-chat: ios, llm-inference, macos, mlx. ## 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 mlx-swift-chat - Last GitHub push was 623 days ago (dormant maintenance, Oct 27, 2024). Validate activity before betting a new project on mlx-swift-chat. - 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 mlx-swift-chat? litellm: Python SDK and Proxy Server for calling multiple LLM APIs. mlx-swift-chat: A multi-platform SwiftUI frontend for running local LLMs with Apple's MLX framework.. See the comparison table for live GitHub stats and shared categories. ### When should I choose litellm over mlx-swift-chat? Choose litellm over mlx-swift-chat when litellm is primarily Python; mlx-swift-chat is Swift; License: litellm is Other, mlx-swift-chat 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, 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 mlx-swift-chat over litellm? Choose mlx-swift-chat over litellm when mlx-swift-chat is primarily Swift; litellm is Python; License: mlx-swift-chat is MIT, litellm is Other; Tags unique to mlx-swift-chat: ios, llm-inference, macos, mlx. ### 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 mlx-swift-chat? Last GitHub push was 623 days ago (dormant maintenance, Oct 27, 2024). Validate activity before betting a new project on mlx-swift-chat. 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 mlx-swift-chat more popular on GitHub? litellm has more GitHub stars (53,271 vs 435). Stars measure visibility, not whether either tool fits your constraints. ### Are litellm and mlx-swift-chat open source? Yes - both are open-source projects on GitHub (litellm: Other, mlx-swift-chat: MIT). ### Where can I find alternatives to litellm or mlx-swift-chat? GraphCanon lists graph-backed alternatives at [litellm alternatives](/tools/berriai-litellm/alternatives) and [mlx-swift-chat alternatives](/tools/preternatural-explore-mlx-swift-chat/alternatives) ([litellm markdown twin](/tools/berriai-litellm/alternatives.md), [mlx-swift-chat markdown twin](/tools/preternatural-explore-mlx-swift-chat/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-preternatural-explore-mlx-swift-chat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, litellm or mlx-swift-chat? litellm: Very active. mlx-swift-chat: Dormant. 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 mlx-swift-chat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [litellm trust report](/tools/berriai-litellm/trust); [mlx-swift-chat trust report](/tools/preternatural-explore-mlx-swift-chat/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/_