--- title: "litellm vs awesome-llm-webapps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/berriai-litellm-vs-icefort-ai-awesome-llm-webapps" tools: ["berriai-litellm", "icefort-ai-awesome-llm-webapps"] --- # litellm vs awesome-llm-webapps *GraphCanon updated Jul 11, 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 awesome-llm-webapps if awesome-llm-webapps offers a curated collection of actively maintained web applications for LLM use cases such as chatbots, question answering systems, and natural language interfaces. This repository. [litellm](https://docs.litellm.ai/docs/) reports 53k GitHub stars, 9.7k forks, and 3.9k open issues, last pushed Jul 11, 2026. [awesome-llm-webapps](https://github.com/icefort-ai/awesome-llm-webapps) has 721 stars, 36 forks, and 13 open issues, last pushed Jun 29, 2025. Figures are from public GitHub metadata via [litellm's repository](https://github.com/BerriAI/litellm) and [awesome-llm-webapps's repository](https://github.com/icefort-ai/awesome-llm-webapps). | | [litellm](/tools/berriai-litellm.md) | [awesome-llm-webapps](/tools/icefort-ai-awesome-llm-webapps.md) | | --- | --- | --- | | Tagline | Python SDK and Proxy Server for calling multiple LLM APIs | A collection of open source, actively maintained web apps for LLM applications | | Stars | 53,271 | 721 | | Forks | 9,671 | 36 | | Open issues | 3,915 | 13 | | Language | 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. | awesome-llm-webapps offers a curated collection of actively maintained web applications for LLM use cases such as chatbots, question answering systems, and natural language interfaces. This repository highlights critical | | 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) | [awesome-llm-webapps](/tools/icefort-ai-awesome-llm-webapps.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 376d | | Open issues (now) | 3.9k | 13 | | Security scan | 2 low (2 low) | No lockfile | | Full report | [trust report](/tools/berriai-litellm/trust.md) | [trust report](/tools/icefort-ai-awesome-llm-webapps/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: awesome-llm-webapps - **Pricing:** freemium - The projects listed are open-source under MIT license and free to use; however, specific models or services integrated within the projects may have their own licensing terms. - **Adopt for:** awesome-llm-webapps offers a curated collection of actively maintained web applications for LLM use cases such as chatbots, question answering systems, and natural language interfaces. This repository highlights critical ## Choose when ### Choose litellm if… - License: litellm is Other, awesome-llm-webapps 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 awesome-llm-webapps if… - License: awesome-llm-webapps is MIT, litellm is Other. - Pricing: The projects listed are open-source under MIT license and free to use; however, specific models or services integrated within the projects may have their own licensing terms.. - Tags unique to awesome-llm-webapps: assistants, chatbots, natural language interfaces, question answering systems. - - When you need to start an LLM project quickly with a high-quality base application. ## 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 awesome-llm-webapps - - Avoid if you require an LLM solution with immediate support for multiple unique languages that are not already covered in the repository. - - Not suitable when you need a project with very niche features that fall outside of common criteria defined in this list (e.g., deep integration with obscure data ingestion methods). ## Common questions ### What is the difference between litellm and awesome-llm-webapps? litellm: Python SDK and Proxy Server for calling multiple LLM APIs. awesome-llm-webapps: A collection of open source, actively maintained web apps for LLM applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose litellm over awesome-llm-webapps? Choose litellm over awesome-llm-webapps when License: litellm is Other, awesome-llm-webapps 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 awesome-llm-webapps over litellm? Choose awesome-llm-webapps over litellm when License: awesome-llm-webapps is MIT, litellm is Other; Pricing: The projects listed are open-source under MIT license and free to use; however, specific models or services integrated within the projects may have their own licensing terms.; Tags unique to awesome-llm-webapps: assistants, chatbots, natural language interfaces, question answering systems; - When you need to start an LLM project quickly with a high-quality base application. ### 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 awesome-llm-webapps? - Avoid if you require an LLM solution with immediate support for multiple unique languages that are not already covered in the repository. - Not suitable when you need a project with very niche features that fall outside of common criteria defined in this list (e.g., deep integration with obscure data ingestion methods). ### Is litellm or awesome-llm-webapps more popular on GitHub? litellm has more GitHub stars (53,271 vs 721). Stars measure visibility, not whether either tool fits your constraints. ### Are litellm and awesome-llm-webapps open source? Yes - both are open-source projects on GitHub (litellm: Other, awesome-llm-webapps: MIT). ### Where can I find alternatives to litellm or awesome-llm-webapps? GraphCanon lists graph-backed alternatives at [litellm alternatives](/tools/berriai-litellm/alternatives) and [awesome-llm-webapps alternatives](/tools/icefort-ai-awesome-llm-webapps/alternatives) ([litellm markdown twin](/tools/berriai-litellm/alternatives.md), [awesome-llm-webapps markdown twin](/tools/icefort-ai-awesome-llm-webapps/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-icefort-ai-awesome-llm-webapps.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, litellm or awesome-llm-webapps? litellm: Very active. awesome-llm-webapps: 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 awesome-llm-webapps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [litellm trust report](/tools/berriai-litellm/trust); [awesome-llm-webapps trust report](/tools/icefort-ai-awesome-llm-webapps/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/_