Comparison
FastChat vs VectorHub
Verdict
Pick FastChat if 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; 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 1w
vs
Trust & integrity
| Signal | FastChat | VectorHub |
|---|---|---|
| Maintenance | Slowing (98d since push) As of 1w · github_public_v1 | Very active (1d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 1mo · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- 524
Forks
- FastChat
- 4.8k
- VectorHub
- 135
Open issues
- FastChat
- 1.0k
- VectorHub
- 5
Language
- FastChat
- Python
- VectorHub
- Jupyter Notebook
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
- 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
- Jul 20, 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
- 98d
- VectorHub
- 1d
Open issues (now)
- FastChat
- 1.0k
- VectorHub
- 5
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: 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 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 Aug 7, 2026
- GitHub forks (lm-sys/FastChat) · observed Aug 7, 2026
- Last push (lm-sys/FastChat) · observed May 1, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (superlinked/VectorHub) · observed Jul 21, 2026
- GitHub forks (superlinked/VectorHub) · observed Jul 21, 2026
- Last push (superlinked/VectorHub) · observed Jul 20, 2026
- License file (Other) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: FastChat 40k · VectorHub 524 (synced Aug 7, 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: 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 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?
- - 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 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 (39,517 vs 524). 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.