Comparison
FastChat vs Server
Verdict
Pick FastChat when fastChat is primarily Python; Server is PHP; pick Server when server is primarily PHP; FastChat is Python.
Markdown twin · FastChat alternatives · Server alternatives
GraphCanon updated today
Trust & integrity
| Signal | FastChat | Server |
|---|---|---|
| Maintenance | Steady (74d since push) As of 1d · github_public_v1 | Slowing (134d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- FastChat
- An open platform for training, serving, and evaluating large language models
- Server
- A standalone inference server for trained Rubix ML estimators.
Stars
- FastChat
- 39k
- Server
- 63
Forks
- FastChat
- 4.8k
- Server
- 13
Open issues
- FastChat
- 1.0k
- Server
- 1
Language
- FastChat
- Python
- Server
- PHP
Adopt for
- FastChat
- 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
- Server
- -
Persona
- FastChat
- -
- Server
- -
Runtime
- FastChat
- -
- Server
- -
License
- FastChat
- Apache-2.0
- Server
- MIT
Last pushed
- FastChat
- May 1, 2026
- Server
- Mar 3, 2026
Categories
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
- Server
- Computer Vision, Inference & Serving, Model Training
Trust and health
Maintenance
- FastChat
- Steady (60%)
- Server
- Slowing (36%)
Days since push
- FastChat
- 74d
- Server
- 134d
Open issues (now)
- FastChat
- 1.0k
- Server
- 1
Full report
- FastChat
- Trust report
- Server
- Trust report
Choose FastChat if…
- FastChat is primarily Python; Server is PHP.
- License: FastChat is Apache-2.0, Server is MIT.
- 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 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.
Choose Server if…
- Server is primarily PHP; FastChat is Python.
- License: Server is MIT, FastChat is Apache-2.0.
- Tags unique to Server: api, http-server, inference, inference-engine.
- Also covers Computer Vision.
When NOT to use Server
- Last GitHub push was 134 days ago (slowing maintenance, Mar 3, 2026). Validate activity before betting a new project on Server.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lm-sys/FastChat) · observed Jul 14, 2026
- GitHub forks (lm-sys/FastChat) · observed Jul 14, 2026
- Last push (lm-sys/FastChat) · observed May 1, 2026
- License file (Apache-2.0) · observed Jul 14, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (RubixML/Server) · observed Jul 15, 2026
- GitHub forks (RubixML/Server) · observed Jul 15, 2026
- Last push (RubixML/Server) · observed Mar 3, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: FastChat 39k · Server 63 (synced Jul 14, 2026).
Common questions
- What is the difference between FastChat and Server?
- FastChat: An open platform for training, serving, and evaluating large language models. Server: A standalone inference server for trained Rubix ML estimators.. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over Server?
- Choose FastChat over Server when FastChat is primarily Python; Server is PHP; License: FastChat is Apache-2.0, Server is MIT; 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 Server over FastChat?
- Choose Server over FastChat when Server is primarily PHP; FastChat is Python; License: Server is MIT, FastChat is Apache-2.0; Tags unique to Server: api, http-server, inference, inference-engine; 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 Server?
- Last GitHub push was 134 days ago (slowing maintenance, Mar 3, 2026). Validate activity before betting a new project on Server. 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 Server more popular on GitHub?
- FastChat has more GitHub stars (39,494 vs 63). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and Server open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, Server: MIT).
- Where can I find alternatives to FastChat or Server?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and Server alternatives (FastChat markdown twin, Server markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, FastChat or Server?
- FastChat: Steady. Server: Slowing. 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 Server?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; Server trust report.