Comparison
FastChat vs VectorHub
Verdict
Pick FastChat if fastChat is an open-source platform for training, serving, and evaluating large language models, including Vicuna, and supports Chatbot Arena, a platform for LLM evaluations with human feedback; pick VectorHub if vectorHub hosts Superlinked's deprecated repository for SIE, a self-hosted inference engine designed for embedding generation, OCR, extraction, and document processing tasks.
Markdown twin · FastChat alternatives · VectorHub alternatives
GraphCanon updated Sep 20, 2026
10views this month
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Trust & integrity
| Signal | FastChat | VectorHub |
|---|---|---|
| Maintenance | Slowing (140d since push) As of Sep 18, 2026 · github_public_v1 | Very active (5d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- VectorHub
- Deprecated repo for developing SIE, an inference engine for embeddings, reranking, OCR, extraction, and document processing
Stars
- FastChat
- 40k
- VectorHub
- 530
Forks
- FastChat
- 4.8k
- VectorHub
- 135
Open issues
- FastChat
- 1.0k
- VectorHub
- 6
Language
- FastChat
- Python
- VectorHub
- Jupyter Notebook
Adopt for
- FastChat
- FastChat is an open-source platform for training, serving, and evaluating large language models, including Vicuna, and supports Chatbot Arena, a platform for LLM evaluations with human feedback.
- VectorHub
- VectorHub hosts Superlinked's deprecated repository for SIE, a self-hosted inference engine designed for embedding generation, OCR, extraction, and document processing tasks.
Persona
- FastChat
- -
- VectorHub
- -
Runtime
- FastChat
- -
- VectorHub
- -
License
- FastChat
- Apache-2.0
- VectorHub
- Other
Last pushed
- FastChat
- May 1, 2026
- VectorHub
- Sep 14, 2026
Categories
- FastChat
- Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
- VectorHub
- Inference & Serving, Model Training
Trust and health
Maintenance
- FastChat
- Slowing (36%)
- VectorHub
- Very active (96%)
Days since push
- FastChat
- 140d
- VectorHub
- 5d
Open issues (now)
- FastChat
- 1.0k
- VectorHub
- 6
Stars delta
- FastChat
- +19 (30d)
- VectorHub
- +6 (30d)
Open issues delta
- FastChat
- +5 (30d)
- VectorHub
- +1 (30d)
Full report
- FastChat
- Trust report
- VectorHub
- Trust report
Choose FastChat if…
- FastChat is primarily Python; VectorHub is Jupyter Notebook.
- License: FastChat is Apache-2.0, VectorHub is Other.
- Tags unique to FastChat: chatbot arena, llm-evaluation, multi-model serving, openai-compatible apis.
- Also covers Evaluation & Observability, LLM Frameworks.
- When you need a platform that supports both training and evaluation of large language models, such as Vicuna, and you want to leverage human feedback for model evaluation.
When NOT to use FastChat
- If you are looking for a platform that focuses solely on model training without serving or evaluation capabilities, FastChat offers a comprehensive suite that might be more than you need.
- If your project does not require human feedback for model evaluation, FastChat's integration with Chatbot Arena might be an unnecessary feature.
- If you are working with proprietary or closed-source models, FastChat's open-source nature and reliance on open-source models like Vicuna might not align with your project requirements.
Choose VectorHub if…
- VectorHub is primarily Jupyter Notebook; FastChat is Python.
- License: VectorHub is Other, FastChat is Apache-2.0.
- Tags unique to VectorHub: ai, llm, llmops, ml.
- Use VectorHub if you require legacy code support for embedding generation, reranking models, or document processing functionalities that are not available in the current version of SIE.
When NOT to use VectorHub
- Avoid VectorHub if you need a more modern and updated inference engine as its repository has been deprecated.
- Do not use this tool for production-level work requiring active support or frequent updates, given that it is marked as historical code.
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 Sep 20, 2026
- GitHub forks (lm-sys/FastChat) · observed Sep 20, 2026
- Last push (lm-sys/FastChat) · observed May 1, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (superlinked/VectorHub) · observed Sep 20, 2026
- GitHub forks (superlinked/VectorHub) · observed Sep 20, 2026
- Last push (superlinked/VectorHub) · observed Sep 14, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 40k · VectorHub 530 (synced Sep 20, 2026).
Common questions
- What is the difference between FastChat and VectorHub?
- FastChat: An open platform for training, serving, and evaluating large language models. VectorHub: Deprecated repo for developing SIE, an inference engine for embeddings, reranking, OCR, extraction, and document processing. See the comparison table for live GitHub stats and shared categories.
- When should I choose FastChat over VectorHub?
- Choose FastChat over VectorHub when FastChat is primarily Python; VectorHub is Jupyter Notebook; License: FastChat is Apache-2.0, VectorHub is Other; Tags unique to FastChat: chatbot arena, llm-evaluation, multi-model serving, openai-compatible apis; Also covers Evaluation & Observability, LLM Frameworks; When you need a platform that supports both training and evaluation of large language models, such as Vicuna, and you want to leverage human feedback for model evaluation.
- When should I choose VectorHub over FastChat?
- Choose VectorHub over FastChat when VectorHub is primarily Jupyter Notebook; FastChat is Python; License: VectorHub is Other, FastChat is Apache-2.0; Tags unique to VectorHub: ai, llm, llmops, ml; Use VectorHub if you require legacy code support for embedding generation, reranking models, or document processing functionalities that are not available in the current version of SIE.
- When should I avoid FastChat?
- If you are looking for a platform that focuses solely on model training without serving or evaluation capabilities, FastChat offers a comprehensive suite that might be more than you need. If your project does not require human feedback for model evaluation, FastChat's integration with Chatbot Arena might be an unnecessary feature. If you are working with proprietary or closed-source models, FastChat's open-source nature and reliance on open-source models like Vicuna might not align with your project requirements.
- When should I avoid VectorHub?
- Avoid VectorHub if you need a more modern and updated inference engine as its repository has been deprecated. Do not use this tool for production-level work requiring active support or frequent updates, given that it is marked as historical code.
- Is FastChat or VectorHub more popular on GitHub?
- FastChat has more GitHub stars (39,536 vs 530). Stars measure visibility, not whether either tool fits your constraints.
- Are FastChat and VectorHub open source?
- Yes - both are open-source projects on GitHub (FastChat: Apache-2.0, VectorHub: Other).
- Where can I find alternatives to FastChat or VectorHub?
- GraphCanon lists graph-backed alternatives at FastChat alternatives and VectorHub alternatives (FastChat markdown twin, VectorHub 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 VectorHub?
- FastChat: Slowing. VectorHub: 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 VectorHub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastChat trust report; VectorHub trust report.