--- title: "LibreChat vs FastChat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/danny-avila-librechat-vs-lm-sys-fastchat" tools: ["danny-avila-librechat", "lm-sys-fastchat"] --- # LibreChat vs FastChat *GraphCanon updated Aug 25, 2026* ## Verdict Pick LibreChat if libreChat provides a versatile AI chat platform for self-hosting with extensive features like model switching, code interpretation, and secure multi-user authentication; pick FastChat if fastChat is a comprehensive open platform for managing large language models (LLMs) that includes capabilities for training, serving, evaluating, and comparing chatbot models via web UIs and RESTful APIs. It powers ChatB. [LibreChat](https://librechat.ai/) reports 42k GitHub stars, 8.8k forks, and 725 open issues, last pushed Aug 25, 2026. [FastChat](https://github.com/lm-sys/FastChat) has 40k stars, 4.8k forks, and 1.0k open issues, last pushed May 1, 2026. Figures are from public GitHub metadata via [LibreChat's repository](https://github.com/danny-avila/LibreChat) and [FastChat's repository](https://github.com/lm-sys/FastChat). | | [LibreChat](/tools/danny-avila-librechat.md) | [FastChat](/tools/lm-sys-fastchat.md) | | --- | --- | --- | | Tagline | Enhanced ChatGPT Clone with extensive features and integrations for self-hosting | An open platform for training, serving, and evaluating large language models | | Stars | 42,443 | 39,517 | | Forks | 8,804 | 4,788 | | Open issues | 725 | 1,038 | | Language | TypeScript | Python | | Adopt for | LibreChat provides a versatile AI chat platform for self-hosting with extensive features like model switching, code interpretation, and secure multi-user authentication. | FastChat is a comprehensive open platform for managing large language models (LLMs) that includes capabilities for training, serving, evaluating, and comparing chatbot models via web UIs and RESTful APIs. It powers ChatB | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LibreChat](/tools/danny-avila-librechat.md) | [FastChat](/tools/lm-sys-fastchat.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 98d | | Open issues (now) | 725 | 1.0k | | Stars delta | +1.2k (30d) | Unknown | | Open issues delta | +100 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/danny-avila-librechat/trust.md) | [trust report](/tools/lm-sys-fastchat/trust.md) | ## Decision facts: LibreChat - **Adopt for:** LibreChat provides a versatile AI chat platform for self-hosting with extensive features like model switching, code interpretation, and secure multi-user authentication. ## Decision facts: FastChat - **Adopt for:** FastChat is a comprehensive open platform for managing large language models (LLMs) that includes capabilities for training, serving, evaluating, and comparing chatbot models via web UIs and RESTful APIs. It powers ChatB ## Choose when ### Choose LibreChat if… - LibreChat is primarily TypeScript; FastChat is Python. - License: LibreChat is MIT, FastChat is Apache-2.0. - Tags unique to LibreChat: ai, anthropic, artifacts, aws. - Also covers AI Agents, Data & Retrieval, Developer Tools. - LibreChat ships Docker support for self-hosted deployment. - Need to support multiple AI models and protocols in one tool ### Choose FastChat if… - FastChat is primarily Python; LibreChat is TypeScript. - License: FastChat is Apache-2.0, LibreChat is MIT. - Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large language models. - Also covers LLM Frameworks. - - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ## When NOT to use LibreChat - Looking for a simpler solution with fewer configurability options - Do not require extensive third-party service integrations or complex customizations ## When NOT to use FastChat - - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions. - - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations). - - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on - + Mac. ## Common questions ### What is the difference between LibreChat and FastChat? LibreChat: Enhanced ChatGPT Clone with extensive features and integrations for self-hosting. FastChat: An open platform for training, serving, and evaluating large language models. See the comparison table for live GitHub stats and shared categories. ### When should I choose LibreChat over FastChat? Choose LibreChat over FastChat when LibreChat is primarily TypeScript; FastChat is Python; License: LibreChat is MIT, FastChat is Apache-2.0; Tags unique to LibreChat: ai, anthropic, artifacts, aws; Also covers AI Agents, Data & Retrieval, Developer Tools; LibreChat ships Docker support for self-hosted deployment; Need to support multiple AI models and protocols in one tool. ### When should I choose FastChat over LibreChat? Choose FastChat over LibreChat when FastChat is primarily Python; LibreChat is TypeScript; License: FastChat is Apache-2.0, LibreChat is MIT; Tags unique to FastChat: chatbots, distributed-serving, evaluation system, large language models; Also covers LLM Frameworks; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### When should I avoid LibreChat? Looking for a simpler solution with fewer configurability options Do not require extensive third-party service integrations or complex customizations ### When should I avoid FastChat? - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions. - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations). - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on + Mac. ### Is LibreChat or FastChat more popular on GitHub? LibreChat has more GitHub stars (42,443 vs 39,517). Stars measure visibility, not whether either tool fits your constraints. ### Are LibreChat and FastChat open source? Yes - both are open-source projects on GitHub (LibreChat: MIT, FastChat: Apache-2.0). ### Where can I find alternatives to LibreChat or FastChat? GraphCanon lists graph-backed alternatives at [LibreChat alternatives](/tools/danny-avila-librechat/alternatives) and [FastChat alternatives](/tools/lm-sys-fastchat/alternatives) ([LibreChat markdown twin](/tools/danny-avila-librechat/alternatives.md), [FastChat markdown twin](/tools/lm-sys-fastchat/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/danny-avila-librechat-vs-lm-sys-fastchat.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LibreChat or FastChat? LibreChat: Very active. FastChat: Slowing. 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 LibreChat and FastChat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LibreChat trust report](/tools/danny-avila-librechat/trust); [FastChat trust report](/tools/lm-sys-fastchat/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=danny-avila-librechat`](/api/graphcanon/graph?tool=danny-avila-librechat) - 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/_