--- title: "FastChat vs ort" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lm-sys-fastchat-vs-pykeio-ort" tools: ["lm-sys-fastchat", "pykeio-ort"] --- # FastChat vs ort *GraphCanon updated Jul 11, 2026* ## Verdict Pick FastChat when fastChat is primarily Python; ort is Rust; pick ort when ort is primarily Rust; FastChat is Python. [FastChat](https://github.com/lm-sys/FastChat) reports 39k GitHub stars, 4.8k forks, and 1.0k open issues, last pushed May 1, 2026. [ort](https://ort.pyke.io/) has 2.4k stars, 255 forks, and 1 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [FastChat's repository](https://github.com/lm-sys/FastChat) and [ort's repository](https://github.com/pykeio/ort). | | [FastChat](/tools/lm-sys-fastchat.md) | [ort](/tools/pykeio-ort.md) | | --- | --- | --- | | Tagline | An open platform for training, serving, and evaluating large language models | Fast ML inference & training for ONNX models in Rust | | Stars | 39,490 | 2,392 | | Forks | 4,788 | 255 | | Open issues | 1,027 | 1 | | Language | Python | Rust | | 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 | Apache-2.0 | | Categories | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FastChat](/tools/lm-sys-fastchat.md) | [ort](/tools/pykeio-ort.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 71d | 0d | | Open issues (now) | 1.0k | 1 | | Full report | [trust report](/tools/lm-sys-fastchat/trust.md) | [trust report](/tools/pykeio-ort/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… - FastChat is primarily Python; ort is Rust. - Tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models. - Also covers Evaluation & Observability, LLM Frameworks. - - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### Choose ort if… - ort is primarily Rust; FastChat is Python. - Tags unique to ort: ai, ai-training, fine-tuning, inference. - More recently updated (last pushed Jul 11, 2026). ## 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 ort - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between FastChat and ort? FastChat: An open platform for training, serving, and evaluating large language models. ort: Fast ML inference & training for ONNX models in Rust. See the comparison table for live GitHub stats and shared categories. ### When should I choose FastChat over ort? Choose FastChat over ort when FastChat is primarily Python; ort is Rust; Tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models; Also covers Evaluation & Observability, LLM Frameworks; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench. ### When should I choose ort over FastChat? Choose ort over FastChat when ort is primarily Rust; FastChat is Python; Tags unique to ort: ai, ai-training, fine-tuning, inference; More recently updated (last pushed Jul 11, 2026). ### 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 ort? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is FastChat or ort more popular on GitHub? FastChat has more GitHub stars (39,490 vs 2,392). Stars measure visibility, not whether either tool fits your constraints. ### Are FastChat and ort open source? Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, ort: Apache-2.0). ### Where can I find alternatives to FastChat or ort? GraphCanon lists graph-backed alternatives at [FastChat alternatives](/tools/lm-sys-fastchat/alternatives) and [ort alternatives](/tools/pykeio-ort/alternatives) ([FastChat markdown twin](/tools/lm-sys-fastchat/alternatives.md), [ort markdown twin](/tools/pykeio-ort/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-pykeio-ort.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FastChat or ort? FastChat: Steady. ort: 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 FastChat and ort? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FastChat trust report](/tools/lm-sys-fastchat/trust); [ort trust report](/tools/pykeio-ort/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/_