Comparison
FastChat vs raga-llm-hub
Verdict
Pick FastChat when license: FastChat is Apache-2.0, raga-llm-hub is Other; pick raga-llm-hub when license: raga-llm-hub is Other, FastChat is Apache-2.0.
Markdown twin · FastChat alternatives · raga-llm-hub alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | FastChat | raga-llm-hub |
|---|---|---|
| Maintenance | Steady (71d since push) As of today · github_public_v1 | Dormant (670d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- FastChat
- An open platform for training, serving, and evaluating large language models
- raga-llm-hub
- Framework for LLM evaluation, guardrails and security
Stars
- FastChat
- 39k
- raga-llm-hub
- 114
Forks
- FastChat
- 4.8k
- raga-llm-hub
- 14
Open issues
- FastChat
- 1.0k
- raga-llm-hub
- 2
Language
- FastChat
- Python
- raga-llm-hub
- Python
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
- raga-llm-hub
- -
Persona
- FastChat
- -
- raga-llm-hub
- -
Runtime
- FastChat
- -
- raga-llm-hub
- -
License
- FastChat
- Apache-2.0
- raga-llm-hub
- Other
Last pushed
- FastChat
- May 1, 2026
- raga-llm-hub
- Sep 9, 2024
Categories
- FastChat
- Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability
- raga-llm-hub
- LLM Frameworks, Evaluation & Observability
Trust and health
Maintenance
- FastChat
- Steady (60%)
- raga-llm-hub
- Dormant (18%)
Days since push
- FastChat
- 71d
- raga-llm-hub
- 670d
Open issues (now)
- FastChat
- 1.0k
- raga-llm-hub
- 2
Full report
- FastChat
- Trust report
- raga-llm-hub
- Trust report
Shared compatibility
- Python · FastChat: Python runtime · raga-llm-hub: Python runtime
Choose FastChat if…
- License: FastChat is Apache-2.0, raga-llm-hub is Other.
- Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
- Also covers Model Training, Inference & Serving.
- - 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 raga-llm-hub if…
- License: raga-llm-hub is Other, FastChat is Apache-2.0.
- Tags unique to raga-llm-hub: llmops, python, guardrails, llm-security.
- Leaner open-issue backlog (2).
When NOT to use raga-llm-hub
- Last GitHub push was 670 days ago (dormant maintenance, Sep 9, 2024). Validate activity before betting a new project on raga-llm-hub.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
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 11, 2026
- GitHub forks (lm-sys/FastChat) · observed Jul 11, 2026
- Last push (lm-sys/FastChat) · observed May 1, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (raga-ai-hub/raga-llm-hub) · observed Jul 11, 2026
- GitHub forks (raga-ai-hub/raga-llm-hub) · observed Jul 11, 2026
- Last push (raga-ai-hub/raga-llm-hub) · observed Sep 9, 2024
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 39k · raga-llm-hub 114 (synced Jul 11, 2026).
Common questions
- What is the difference between FastChat and raga-llm-hub?
- FastChat: An open platform for training, serving, and evaluating large language models. raga-llm-hub: Framework for LLM evaluation, guardrails and security. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over raga-llm-hub?
- Choose FastChat over raga-llm-hub when License: FastChat is Apache-2.0, raga-llm-hub is Other; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers Model Training, Inference & Serving; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
- When should I choose raga-llm-hub over FastChat?
- Choose raga-llm-hub over FastChat when License: raga-llm-hub is Other, FastChat is Apache-2.0; Tags unique to raga-llm-hub: llmops, python, guardrails, llm-security; Leaner open-issue backlog (2).
- 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 raga-llm-hub?
- Last GitHub push was 670 days ago (dormant maintenance, Sep 9, 2024). Validate activity before betting a new project on raga-llm-hub. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is FastChat or raga-llm-hub more popular on GitHub?
- FastChat has more GitHub stars (39,490 vs 114). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and raga-llm-hub open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, raga-llm-hub: Other).
- Where can I find alternatives to FastChat or raga-llm-hub?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and raga-llm-hub alternatives (FastChat markdown twin, raga-llm-hub 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 raga-llm-hub?
- FastChat: Steady. raga-llm-hub: 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 raga-llm-hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; raga-llm-hub trust report.