--- title: "gpt-migrate vs FastChat" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/joshpxyne-gpt-migrate-vs-lm-sys-fastchat" tools: ["joshpxyne-gpt-migrate", "lm-sys-fastchat"] --- # gpt-migrate vs FastChat *GraphCanon updated Jul 11, 2026* ## Verdict Pick gpt-migrate when license: gpt-migrate is MIT, FastChat is Apache-2.0; pick FastChat when license: FastChat is Apache-2.0, gpt-migrate is MIT. [gpt-migrate](https://gpt-migrate.com) reports 7.0k GitHub stars, 502 forks, and 26 open issues, last pushed Sep 17, 2024. [FastChat](https://github.com/lm-sys/FastChat) has 39k stars, 4.8k forks, and 1.0k open issues, last pushed May 1, 2026. Figures are from public GitHub metadata via [gpt-migrate's repository](https://github.com/joshpxyne/gpt-migrate) and [FastChat's repository](https://github.com/lm-sys/FastChat). | | [gpt-migrate](/tools/joshpxyne-gpt-migrate.md) | [FastChat](/tools/lm-sys-fastchat.md) | | --- | --- | --- | | Tagline | Easily migrate your codebase from one framework or language to another. | An open platform for training, serving, and evaluating large language models | | Stars | 6,982 | 39,490 | | Forks | 502 | 4,788 | | Open issues | 26 | 1,027 | | 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 | MIT | Apache-2.0 | | Categories | Data & Retrieval, Evaluation & Observability | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gpt-migrate](/tools/joshpxyne-gpt-migrate.md) | [FastChat](/tools/lm-sys-fastchat.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 661d | 71d | | Open issues (now) | 26 | 1.0k | | Owner type | User | Organization | | Full report | [trust report](/tools/joshpxyne-gpt-migrate/trust.md) | [trust report](/tools/lm-sys-fastchat/trust.md) | ## Shared compatibility - **Python**: [gpt-migrate](/tools/joshpxyne-gpt-migrate.md) - Python runtime; [FastChat](/tools/lm-sys-fastchat.md) - Python runtime ## 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 gpt-migrate if… - License: gpt-migrate is MIT, FastChat is Apache-2.0. - Tags unique to gpt-migrate: python. - Also covers Data & Retrieval. ### Choose FastChat if… - License: FastChat is Apache-2.0, gpt-migrate is MIT. - Tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models. - Also covers Inference & Serving, LLM Frameworks, Model Training. - - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ## When NOT to use gpt-migrate - Last GitHub push was 662 days ago (dormant maintenance, Sep 17, 2024). Validate activity before betting a new project on gpt-migrate. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## 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 gpt-migrate and FastChat? gpt-migrate: Easily migrate your codebase from one framework or language to another.. 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 gpt-migrate over FastChat? Choose gpt-migrate over FastChat when License: gpt-migrate is MIT, FastChat is Apache-2.0; Tags unique to gpt-migrate: python; Also covers Data & Retrieval. ### When should I choose FastChat over gpt-migrate? Choose FastChat over gpt-migrate when License: FastChat is Apache-2.0, gpt-migrate is MIT; Tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models; Also covers Inference & Serving, LLM Frameworks, Model Training; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### When should I avoid gpt-migrate? Last GitHub push was 662 days ago (dormant maintenance, Sep 17, 2024). Validate activity before betting a new project on gpt-migrate. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### 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 gpt-migrate or FastChat more popular on GitHub? FastChat has more GitHub stars (39,490 vs 6,982). Stars measure visibility, not whether either tool fits your constraints. ### Are gpt-migrate and FastChat open source? Yes - both are open-source projects on GitHub (gpt-migrate: MIT, FastChat: Apache-2.0). ### Where can I find alternatives to gpt-migrate or FastChat? GraphCanon lists graph-backed alternatives at [gpt-migrate alternatives](/tools/joshpxyne-gpt-migrate/alternatives) and [FastChat alternatives](/tools/lm-sys-fastchat/alternatives) ([gpt-migrate markdown twin](/tools/joshpxyne-gpt-migrate/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/joshpxyne-gpt-migrate-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, gpt-migrate or FastChat? gpt-migrate: Dormant. FastChat: Steady. 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 gpt-migrate and FastChat? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gpt-migrate trust report](/tools/joshpxyne-gpt-migrate/trust); [FastChat trust report](/tools/lm-sys-fastchat/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=joshpxyne-gpt-migrate`](/api/graphcanon/graph?tool=joshpxyne-gpt-migrate) - 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/_