--- title: "FastChat vs pinferencia" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/lm-sys-fastchat-vs-underneathall-pinferencia" tools: ["lm-sys-fastchat", "underneathall-pinferencia"] --- # FastChat vs pinferencia *GraphCanon updated Jul 11, 2026* ## Verdict Pick FastChat when tags unique to FastChat: chatbots, distributed serving, evaluation system, large-language-models; pick pinferencia when tags unique to pinferencia: ai, artificial-intelligence, computer-vision, data-science. [FastChat](https://github.com/lm-sys/FastChat) reports 39k GitHub stars, 4.8k forks, and 1.0k open issues, last pushed May 1, 2026. [pinferencia](https://pinferencia.underneathall.app) has 543 stars, 83 forks, and 17 open issues, last pushed Feb 14, 2023. Figures are from public GitHub metadata via [FastChat's repository](https://github.com/lm-sys/FastChat) and [pinferencia's repository](https://github.com/underneathall/pinferencia). | | [FastChat](/tools/lm-sys-fastchat.md) | [pinferencia](/tools/underneathall-pinferencia.md) | | --- | --- | --- | | Tagline | An open platform for training, serving, and evaluating large language models | Python + Inference - Model Deployment library in Python. Simplest model inference server ever. | | Stars | 39,490 | 543 | | Forks | 4,788 | 83 | | Open issues | 1,027 | 17 | | 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 | Apache-2.0 | | Categories | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | Computer Vision, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FastChat](/tools/lm-sys-fastchat.md) | [pinferencia](/tools/underneathall-pinferencia.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 71d | 1242d | | Open issues (now) | 1.0k | 17 | | Security scan | No lockfile | 160 low (160 low) | | Full report | [trust report](/tools/lm-sys-fastchat/trust.md) | [trust report](/tools/underneathall-pinferencia/trust.md) | ## Shared compatibility - **Python**: [FastChat](/tools/lm-sys-fastchat.md) - Python runtime; [pinferencia](/tools/underneathall-pinferencia.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 FastChat if… - 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 pinferencia if… - Tags unique to pinferencia: ai, artificial-intelligence, computer-vision, data-science. - Also covers Computer Vision. - Leaner open-issue backlog (17). ## 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 pinferencia - Last GitHub push was 1243 days ago (dormant maintenance, Feb 14, 2023). Validate activity before betting a new project on pinferencia. - 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 pinferencia? FastChat: An open platform for training, serving, and evaluating large language models. pinferencia: Python + Inference - Model Deployment library in Python. Simplest model inference server ever.. See the comparison table for live GitHub stats and shared categories. ### When should I choose FastChat over pinferencia? Choose FastChat over pinferencia when 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 pinferencia over FastChat? Choose pinferencia over FastChat when Tags unique to pinferencia: ai, artificial-intelligence, computer-vision, data-science; Also covers Computer Vision; Leaner open-issue backlog (17). ### 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 pinferencia? Last GitHub push was 1243 days ago (dormant maintenance, Feb 14, 2023). Validate activity before betting a new project on pinferencia. 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 pinferencia more popular on GitHub? FastChat has more GitHub stars (39,490 vs 543). Stars measure visibility, not whether either tool fits your constraints. ### Are FastChat and pinferencia open source? Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, pinferencia: Apache-2.0). ### Where can I find alternatives to FastChat or pinferencia? GraphCanon lists graph-backed alternatives at [FastChat alternatives](/tools/lm-sys-fastchat/alternatives) and [pinferencia alternatives](/tools/underneathall-pinferencia/alternatives) ([FastChat markdown twin](/tools/lm-sys-fastchat/alternatives.md), [pinferencia markdown twin](/tools/underneathall-pinferencia/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-underneathall-pinferencia.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FastChat or pinferencia? FastChat: Steady. pinferencia: 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 pinferencia? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FastChat trust report](/tools/lm-sys-fastchat/trust); [pinferencia trust report](/tools/underneathall-pinferencia/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/_