--- title: "LibreChat vs FunClip" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/danny-avila-librechat-vs-modelscope-funclip" tools: ["danny-avila-librechat", "modelscope-funclip"] --- # LibreChat vs FunClip *GraphCanon updated Jul 12, 2026* ## Verdict Pick LibreChat when libreChat is primarily TypeScript; FunClip is Python; pick FunClip when funClip is primarily Python; LibreChat is TypeScript. [LibreChat](https://librechat.ai/) reports 41k GitHub stars, 8.3k forks, and 573 open issues, last pushed Jul 10, 2026. [FunClip](https://www.funasr.com) has 5.9k stars, 710 forks, and 0 open issues, last pushed Jul 7, 2026. Figures are from public GitHub metadata via [LibreChat's repository](https://github.com/danny-avila/LibreChat) and [FunClip's repository](https://github.com/modelscope/FunClip). | | [LibreChat](/tools/danny-avila-librechat.md) | [FunClip](/tools/modelscope-funclip.md) | | --- | --- | --- | | Tagline | Enhanced ChatGPT Clone with extensive features and integrations for self-hosting | FunASR-powered video transcription, subtitle generation, and LLM-assisted clipping tool with a local Gradio UI. | | Stars | 40,571 | 5,906 | | Forks | 8,331 | 710 | | Open issues | 573 | 0 | | 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. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training | Computer Vision, LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LibreChat](/tools/danny-avila-librechat.md) | [FunClip](/tools/modelscope-funclip.md) | | --- | --- | --- | | Days since push | 0d | 4d | | Open issues (now) | 573 | 0 | | Owner type | User | Organization | | Security scan | No MCP manifest | 87 low (87 low) | | Full report | [trust report](/tools/danny-avila-librechat/trust.md) | [trust report](/tools/modelscope-funclip/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. ## Choose when ### Choose LibreChat if… - LibreChat is primarily TypeScript; FunClip is Python. - Tags unique to LibreChat: ai, anthropic, artifacts, aws. - Also covers AI Agents, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training. - LibreChat ships Docker support for self-hosted deployment. - Need to support multiple AI models and protocols in one tool ### Choose FunClip if… - FunClip is primarily Python; LibreChat is TypeScript. - Tags unique to FunClip: ai-tools, ai-video-editing, asr, auto-subtitles. - Also covers Computer Vision, LLM Frameworks, Speech & Audio. ## 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 FunClip - 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 LibreChat and FunClip? LibreChat: Enhanced ChatGPT Clone with extensive features and integrations for self-hosting. FunClip: FunASR-powered video transcription, subtitle generation, and LLM-assisted clipping tool with a local Gradio UI.. See the comparison table for live GitHub stats and shared categories. ### When should I choose LibreChat over FunClip? Choose LibreChat over FunClip when LibreChat is primarily TypeScript; FunClip is Python; Tags unique to LibreChat: ai, anthropic, artifacts, aws; Also covers AI Agents, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training; LibreChat ships Docker support for self-hosted deployment; Need to support multiple AI models and protocols in one tool. ### When should I choose FunClip over LibreChat? Choose FunClip over LibreChat when FunClip is primarily Python; LibreChat is TypeScript; Tags unique to FunClip: ai-tools, ai-video-editing, asr, auto-subtitles; Also covers Computer Vision, LLM Frameworks, Speech & Audio. ### 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 FunClip? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is LibreChat or FunClip more popular on GitHub? LibreChat has more GitHub stars (40,571 vs 5,906). Stars measure visibility, not whether either tool fits your constraints. ### Are LibreChat and FunClip open source? Yes - both are open-source projects on GitHub (LibreChat: MIT, FunClip: MIT). ### Where can I find alternatives to LibreChat or FunClip? GraphCanon lists graph-backed alternatives at [LibreChat alternatives](/tools/danny-avila-librechat/alternatives) and [FunClip alternatives](/tools/modelscope-funclip/alternatives) ([LibreChat markdown twin](/tools/danny-avila-librechat/alternatives.md), [FunClip markdown twin](/tools/modelscope-funclip/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-modelscope-funclip.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LibreChat or FunClip? LibreChat: Very active. FunClip: Very 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 LibreChat and FunClip? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LibreChat trust report](/tools/danny-avila-librechat/trust); [FunClip trust report](/tools/modelscope-funclip/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/_