--- title: "FastChat vs RobustVideoMatting" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lm-sys-fastchat-vs-peterl1n-robustvideomatting" tools: ["lm-sys-fastchat", "peterl1n-robustvideomatting"] --- # FastChat vs RobustVideoMatting *GraphCanon updated Jul 11, 2026* ## Verdict Pick FastChat when license: FastChat is Apache-2.0, RobustVideoMatting is GPL-3.0; pick RobustVideoMatting when license: RobustVideoMatting is GPL-3.0, FastChat is Apache-2.0. [FastChat](https://github.com/lm-sys/FastChat) reports 39k GitHub stars, 4.8k forks, and 1.0k open issues, last pushed May 1, 2026. [RobustVideoMatting](https://peterl1n.github.io/RobustVideoMatting/) has 9.4k stars, 1.2k forks, and 122 open issues, last pushed Apr 2, 2024. Figures are from public GitHub metadata via [FastChat's repository](https://github.com/lm-sys/FastChat) and [RobustVideoMatting's repository](https://github.com/PeterL1n/RobustVideoMatting). | | [FastChat](/tools/lm-sys-fastchat.md) | [RobustVideoMatting](/tools/peterl1n-robustvideomatting.md) | | --- | --- | --- | | Tagline | An open platform for training, serving, and evaluating large language models | Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML! | | Stars | 39,490 | 9,422 | | Forks | 4,788 | 1,197 | | Open issues | 1,027 | 122 | | Language | Python | Python | | 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 | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | GPL-3.0 | | Categories | LLM Frameworks, Model Training, Inference & Serving, Evaluation & Observability | Model Training, Computer Vision, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FastChat](/tools/lm-sys-fastchat.md) | [RobustVideoMatting](/tools/peterl1n-robustvideomatting.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 71d | 829d | | Open issues (now) | 1.0k | 122 | | Owner type | Organization | User | | Full report | [trust report](/tools/lm-sys-fastchat/trust.md) | [trust report](/tools/peterl1n-robustvideomatting/trust.md) | ## 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 FastChat if… - License: FastChat is Apache-2.0, RobustVideoMatting is GPL-3.0. - Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving. - Also covers LLM Frameworks, Evaluation & Observability. - - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### Choose RobustVideoMatting if… - License: RobustVideoMatting is GPL-3.0, FastChat is Apache-2.0. - Tags unique to RobustVideoMatting: deep-learning, ai, machine-learning, python. - Also covers Computer Vision. ## 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. ## When NOT to use RobustVideoMatting - Last GitHub push was 830 days ago (dormant maintenance, Apr 2, 2024). Validate activity before betting a new project on RobustVideoMatting. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between FastChat and RobustVideoMatting? FastChat: An open platform for training, serving, and evaluating large language models. RobustVideoMatting: Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!. See the comparison table for live GitHub stats and shared categories. ### When should I choose FastChat over RobustVideoMatting? Choose FastChat over RobustVideoMatting when License: FastChat is Apache-2.0, RobustVideoMatting is GPL-3.0; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers LLM Frameworks, Evaluation & Observability; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### When should I choose RobustVideoMatting over FastChat? Choose RobustVideoMatting over FastChat when License: RobustVideoMatting is GPL-3.0, FastChat is Apache-2.0; Tags unique to RobustVideoMatting: deep-learning, ai, machine-learning, python; Also covers Computer Vision. ### 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. ### When should I avoid RobustVideoMatting? Last GitHub push was 830 days ago (dormant maintenance, Apr 2, 2024). Validate activity before betting a new project on RobustVideoMatting. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is FastChat or RobustVideoMatting more popular on GitHub? FastChat has more GitHub stars (39,490 vs 9,422). Stars measure visibility, not whether either tool fits your constraints. ### Are FastChat and RobustVideoMatting open source? Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, RobustVideoMatting: GPL-3.0). ### Where can I find alternatives to FastChat or RobustVideoMatting? GraphCanon lists graph-backed alternatives at [FastChat alternatives](/tools/lm-sys-fastchat/alternatives) and [RobustVideoMatting alternatives](/tools/peterl1n-robustvideomatting/alternatives) ([FastChat markdown twin](/tools/lm-sys-fastchat/alternatives.md), [RobustVideoMatting markdown twin](/tools/peterl1n-robustvideomatting/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/lm-sys-fastchat-vs-peterl1n-robustvideomatting.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FastChat or RobustVideoMatting? FastChat: Steady. RobustVideoMatting: 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 FastChat and RobustVideoMatting? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FastChat trust report](/tools/lm-sys-fastchat/trust); [RobustVideoMatting trust report](/tools/peterl1n-robustvideomatting/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=lm-sys-fastchat`](/api/graphcanon/graph?tool=lm-sys-fastchat) - 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/_