--- title: "litellm vs llm-action" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/berriai-litellm-vs-liguodongiot-llm-action" tools: ["berriai-litellm", "liguodongiot-llm-action"] --- # litellm vs llm-action *GraphCanon updated Aug 16, 2026* ## Verdict Pick litellm if 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; pick llm-action if llm-action aims to share large model technology principles and practical experiences covering areas such as engineering, deployment, inference, serving, and training. [litellm](https://docs.litellm.ai/docs/) reports 55k GitHub stars, 10k forks, and 4.6k open issues, last pushed Aug 1, 2026. [llm-action](https://www.zhihu.com/column/c_1456193767213043713) has 25k stars, 2.8k forks, and 19 open issues, last pushed Jul 19, 2026. Figures are from public GitHub metadata via [litellm's repository](https://github.com/BerriAI/litellm) and [llm-action's repository](https://github.com/liguodongiot/llm-action). | | [litellm](/tools/berriai-litellm.md) | [llm-action](/tools/liguodongiot-llm-action.md) | | --- | --- | --- | | Tagline | Python SDK and Proxy Server for calling multiple LLM APIs | Aims to share large model technology principles and practical experience (large model engineering, application implementation) | | Stars | 55,221 | 24,898 | | Forks | 10,231 | 2,842 | | Open issues | 4,634 | 19 | | Language | Python | HTML | | 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. | llm-action aims to share large model technology principles and practical experiences covering areas such as engineering, deployment, inference, serving, and training. | | 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. | llm-action is open-source under the Apache-2.0 license. | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [litellm](/tools/berriai-litellm.md) | [llm-action](/tools/liguodongiot-llm-action.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 28d | | Open issues (now) | 4.6k | 19 | | Stars delta | Unknown | +162 (30d) | | Open issues delta | Unknown | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/berriai-litellm/trust.md) | [trust report](/tools/liguodongiot-llm-action/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. ## Decision facts: llm-action - **Adopt for:** llm-action aims to share large model technology principles and practical experiences covering areas such as engineering, deployment, inference, serving, and training. - **License detail:** llm-action is open-source under the Apache-2.0 license. ## Choose when ### Choose litellm if… - litellm is primarily Python; llm-action is HTML. - License: litellm is Other, llm-action is Apache-2.0. - 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 ### Choose llm-action if… - llm-action is primarily HTML; litellm is Python. - License: llm-action is Apache-2.0, litellm is Other. - Tags unique to llm-action: deployment, engineering, inference, large model. - Also covers Model Training. - - When you need detailed examples and best practices of implementing large language models (LLMs) in real-world applications, llm-action provides insights into the challenges faced during LLM's actual ## 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-action - - If your focus is narrowly on cutting-edge research rather than practical implementation details, llm-action may not be the best resource as it focuses more on deployment processes. - - When looking for a full-stack solution that includes detailed code implementations and libraries for each phase (training, serving), llm-action might fall short. It shines in sharing knowledge but ## Common questions ### What is the difference between litellm and llm-action? litellm: Python SDK and Proxy Server for calling multiple LLM APIs. llm-action: Aims to share large model technology principles and practical experience (large model engineering, application implementation). See the comparison table for live GitHub stats and shared categories. ### When should I choose litellm over llm-action? Choose litellm over llm-action when litellm is primarily Python; llm-action is HTML; License: litellm is Other, llm-action is Apache-2.0; 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 choose llm-action over litellm? Choose llm-action over litellm when llm-action is primarily HTML; litellm is Python; License: llm-action is Apache-2.0, litellm is Other; Tags unique to llm-action: deployment, engineering, inference, large model; Also covers Model Training; - When you need detailed examples and best practices of implementing large language models (LLMs) in real-world applications, llm-action provides insights into the challenges faced during LLM's actual. ### 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-action? - If your focus is narrowly on cutting-edge research rather than practical implementation details, llm-action may not be the best resource as it focuses more on deployment processes. - When looking for a full-stack solution that includes detailed code implementations and libraries for each phase (training, serving), llm-action might fall short. It shines in sharing knowledge but ### Is litellm or llm-action more popular on GitHub? litellm has more GitHub stars (55,221 vs 24,898). Stars measure visibility, not whether either tool fits your constraints. ### Are litellm and llm-action open source? Yes - both are open-source projects on GitHub (litellm: Other, llm-action: Apache-2.0). ### Where can I find alternatives to litellm or llm-action? GraphCanon lists graph-backed alternatives at [litellm alternatives](/tools/berriai-litellm/alternatives) and [llm-action alternatives](/tools/liguodongiot-llm-action/alternatives) ([litellm markdown twin](/tools/berriai-litellm/alternatives.md), [llm-action markdown twin](/tools/liguodongiot-llm-action/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-liguodongiot-llm-action.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, litellm or llm-action? litellm: Very active. llm-action: 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-action? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [litellm trust report](/tools/berriai-litellm/trust); [llm-action trust report](/tools/liguodongiot-llm-action/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/_